List of resources for mineral exploration and machine learning, generally with useful code and examples.
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updated Sep 26, 2026
README
mineral-exploration-machine-learning
This page lists resources for mineral exploration and machine learning, generally with useful code and examples. ML and Data Science is a huge field, these are resources I have found useful and/or interesting to me in practice. Links currently to a fork of a repository are because I have changed something to use and put in a list for reference. Resources are also given for data analysis, transformation and visualisation as that is most of the work.
Suggestions welcome: open a discussion, issue or pull request.
Table of Contents
- Prospectivity
- Geology
- Natural Language Processing
- Remote Sensing
- Data Quality
- Community
- Cloud providers
- Domains
- Overview
- Web Services
- Data Portals
- Tools
- Ontologies
- Books
- Datasets
- Papers
- Other
- General Interest
Map
- Map of Github
- DeepWiki -> automagic wiki style analysis of a repo via llm
Frameworks
-
- Geo-Wavelets
- ML-Preprocessing
- Landshark -> Large-scale spatial inference with tensorflow
- GIS ML Workflow
-
EIS Toolkit -> Python library for mineral prospectivity mapping from EIS Horizon EU Project
-
PySpatialML -> Library that facilitates prediction and handling for raster machine learning automatically to geotiff, etc.
-
- competition info
- uncharted T1 -> Automated feature extraction and georeferencing of geologic maps
- paper -> Extracting data from maps: Lessons learned from the artificial intelligence for critical mineral assessment competition
- training data
- QueryPlot - Generating mineral evidence maps from geological queries
- paper - Generating mineral evidence maps from geological queriesGenerating mineral evidence maps from geological queries
-
TorchGeo -> Pytorch library for remote sensing style models
-
terratorch -> Flexible fine-tuning framework for Geospatial Foundation Models
-
torch-harmonics -> Differentiable signal processing on the sphere for PyTorch
-
Geo Deep Learning -> Simple deep learning framework based on RGB
-
ExPloRA -> ExPLoRA: Parameter-Efficient Extended Pre-training to Adapt Vision Transformers under Domain Shifts
-
[paper] -> https://www.sciencedirect.com/science/article/pii/S0169136825001519?via%3Dihub -> Clustering in geo-data science: Navigating uncertainty to select the most reliable method
-
GeoStat Framework -> Group of repositories with kriging and other
-
CoreJepa - LeJea for Remote Sensing
-
Senseiver -> Development of the Senseiver for efficient field reconstruction from sparse observations
R
- CAST -> Caret Applications for Spatio-Temporal models
- geodl -> semantic segmentation of geospatial data using convolutional neural network-based deep learning
Pipelines
- geotargets -> Extension of targets to terra and stars
Prospectivity
World
- Porphyry prospectivity global -> Spatio-temporal global mapping
- Spatiotemporal-Data-Mining-of-Sediment-Hosted-Deposits-Subduction-Craton-Distance Public
Oceania
Australia
- Iron oxide copper-gold mineral potential maps
- [Lateritic Ni-Co prospectivity modeling in eastern Australia using an enhanced generative adversarial network and positive-unlabeled bagging] -> (https://zenodo.org/records/14037494)
- Machine learning for geological mapping : algorithms and applications -> PhD thesis with code and data
- minpot-toolkit -> Example of Hoggard et al Lab Boundary analysis with Sedimentary copper
- MPM-WofE -> Mineral Potential Mapping - Weights of Evidence
- Porphyry Copper Spatio-Temporal Exploration
- Prospectivity Mapping of Ni-Co Laterites
- Transform 2022 Tutorial -> Random forest example
- Tin-Tungsten
Explorer Challenge
- Explorer Challenge -> OZ Minerals run competition with Data Science introduction
South Australia
- DEEP-SEAM -> An explainable semi-supervised deep learning framework for mineral prospectivity mapping: DEEP-SEAM v1.0
- Gawler_MPM -> Cobalt, Chromium, Nickel
- Geophysical Data Clustering in the Gawler Craton
- [Zenodo Data](Automated detection of mineralization-related craton structures using geophysical data and unsupervised machine learning)
Explore SA - South Australian Department of Energy and Mining Competition
- Winners -> SARIG data information
- Caldera -> Caldera Analytics analysis
- IncertoData
- Butterworth and Barnett -> Butterworth and Barnett entry
- Data Driven Mineralisation Mapping
Papua New Guinea
North America
Canada
-
Generative Neural Network for Mineral Prospectivity with Uncertainty Quantification
- paper -> A generative neural network approach to uncertainty and risk-return analysis in mineral prospectivity modelling
-
Transfer Prospectivity Learnnig
- paper -> Porphyry-type mineral prospectivity mapping with imbalanced data via prior geological transfer learning
-
Probabilistic mineral prospectivity modelling with TAGI, BNN, and MC dropout
- paper -> Tractable approximate Gaussian inference for interpretable mineral prospectivity modelling
South America
Brazil
- Mapa Preditivo -> Brazil student project
- Course_Predictive_Mapping_USP -> Course Project
- Mineral Prospectivity Mapping
- 3D Weights of Evidence
- Geological Complexity SMOTE -> includes fractal analysis
- MPM Jurena -> Jurena Mineral Province
Colombia
- mapo_prospectivo -> Machine Learning-Based Prospective Modeling for Alluvial Gold Mining: A Study Area in Colombia
China
- MPM by ensemble learning -> Qingchengzi Pb-Zn-Ag-Au polymetallic district China
- Mineral Prospectivity Prediction Convolutional Neural Networks -> CNN Example with a few architectures [a paper by this author uses GoogleNet]
- Mineral Prospectivity Prediction by CSAE
- Mineral Prospectivity Prediction by CAE
India
- MPM-Gold -> gold mineral prospectivity mapping using multiple machine learning models (FKELM and WGAN others are baselines)
- paper -> A Hybrid Framework for Detecting Gold Mineralization Zones in G.R. Halli, Western Dharwar Craton, Karnataka, India
- mineral_mapping -> Mineral Prospectivity Mapping — Deep Multi-Modal Fusion
- paper -> Self-Supervised Multi-modal Fusion for Mineral Prospectivity Mapping Using Vision Transformers Integrating Multi-scale Geological Maps with Aeromagnetic Data [UNSEEN]
Norway
Africa
Namibia
- data_and_code_of_narr -> Uranium Mineral Prospectivity Modeling – Husab Deposit, Namibia
- paper - > Integrating Cost-Sensitive Ensemble Learning and Geoscience Big Data for Uranium Prospectivity Mapping in the Husab Uranium Deposit, Namibia
Sudan
Europe
Russia
- Korznhinskii-Net -> Physics-Informed Neural Network for Sub-Surface Mineral Prospectivity Modelling
Uncertainty
- MPM-uncertainty -> Mineral Potential Mapping uncertainty quantification
Geology
- autoencoders_remotesensing
- paper -> Remote sensing framework for geological mapping via stacked autoencoders and clustering
- Bedrock-vs-sediment
- Brazil Predictive Geology Maps -> Work by the Brazil geological survey
- depth to bedrock(Evaluating spatially enabled machine learning approaches for depth to bedrock mapping)
- DL-RMD -> A geophysically constrained electromagnetic resistivity model database for deep learning applications
- Earthscape -> EarthScape: A Multimodal Dataset for Surficial Geologic Mapping and Earth Surface Analysis
- Geological Image Classifier
- geological map explanatory power
- paper -> Quantifying the limited explanatory power of geological maps
- Geological mapping in the age of artificial intelligence -> Geological mapping in the age of artificial intelligence
- GeolNR -> Geological Implicit Neural Representation for three-dimensional structural geological modelling applications
- Geological Section Generated based on per-pixel linked lists
- Geoscience Transformers for Predictive Mapping of Critical Minerals
- paper -> Large Language Models and Geoscience Transformers for Predictive Mapping of Canadian Critical Minerals
- mapeamento_litologico_preditivo
- Mapping Global Lithospheric Mantle Pressure-Temperature Conditions by Machine-Learning Thermobarometry
- MGALNet - Multisource Remote Sensing Interpretation of Geological Lithology via Multigranularity Adaptive Learning
- paper [UNSEEN]
- Non Stationarity Mitigation Transformer
- Neural Rock Typing
- PEACE -> Empowering Geologic Map Holistic Understanding with MLLMs) *paper -> GeoMap-Bench
- SimCLR Core Disturbance
- Uncertainty Driven Geoogical Mapping
- West Musgraves Geology Uncertainty -> Uncertainty map prediction with entropy analysis: highly useful
Training Data
- Into the Noddyverse -> a massive data store of 3D geological models for machine learning and inversion applications
- Geo-Bench
Lithology
-
litho2strat -> Estimate stratigraphy from drillhole logs using Loop techniques
- [paper](Automated stratigraphic interpretation from drillhole lithological descriptions with uncertainty quantification: litho2strat 1.0 -> Automated stratigraphic interpretation from drillhole lithological descriptions with uncertainty quantification: litho2strat 1.0
-
dawson-facies-2022 -> Transfer learning for geological images
- paper - > Impact of dataset size and convolutional neural network architecture on transfer learning for carbonate rock classification
-
Litho-Classification -> Volcanic facies Classification using Random Forest
-
Multi-view ensemble machine learning approach for 3D modeling using geological and geophysical data
-
Petromind -> PetroMind: A multimodal petrographic model for rock image classification and lithological description generation
-
SCB-Net -> Lithological mapping using Spatially Constrained Bayesian Network
Mineralogy
- [hywiz][(https://github.com/samthiele/hywiz/tree/v0.15)] - Predicting Mineralogy with Hyperspectral Data: A Benchmark Dataset and Machine Learning Framework to Enable Hyperspectral Geometallurgy
Drilling
- Heterogenous Drilling - Nicta/Data61 project report for looking at modelling using drillholes that don't go far enough
- corel -> smart computer vision model that identifies facies and performs rock typing on core images
- baselode -> processing, managing, and visualizing geological and mining data
Paleovalleys
Stratigraphy
- Predicatops -> Stratigraphic predication designed for hydrocarbon
- stratal-geometries -> Predicting Stratigraphic Geometries from Subsurface Well Logs
Structural
- APGS -> Structural geology package
- Assessing plate reconstruction models using plate driving force consistency tests -> Jupyter notebook and data
- CIG-Bench ->
- Curlew -> Spatio-temporal implicit geological modelling with neural fields in python
- gplately
- [structural geology cookbook](https://github.com/gcmatos/structural-geology-cookbook]
- GEOMAPLEARN 1.0 -> Detecting geological structures from geological maps with machine learning
- [GemPy Model Mexico Basin(https://github.com/Nauj29/GemPy_Model_Mexico_Basin)
- Lineament Learning -> Fault prediction and mapping via potential field deep learning and clustering Update
- Lineament Learning -> original version
- Lineament DEM Extractor -> Topographic lineaments extraction in digital elevation model
- LitMod3D -> 3D integrated geophysical-petrological interactive modelling of the lithosphere and underlying upper mantle
- Machine Learning Based Mohometry -> Paleo Crustal Thickness Estimation and Evolution Visualization
- others
- StructuralGeo
Simulation
- GebPy -> generation of geological data for rocks and minerals
- OpenGeoSys -> development of numerical methods for the simulation of thermo-hydro-mechanical-chemical (THMC) processes in porous and fractured media
- Stratigraphics.jl -> Creating 3D stratigraphy from 2D geostatistical processes
- SubsurfaceGen -> SubsurfaceGen: Procedural Generation of Field-Scale Earth Models and Seismic Data
Geodynamics
- Badlands -> Basin and Landscape Dynamics
- CitcomS -> Finite element code designed to solve compressible thermochemical convection problems relevant to Earth's mantle.
- LaMEM -> simulate various thermo-mechanical geodynamical processes such as mantle-lithosphere interaction
- PTatin3D -> studying long time-scale processes relevant to geodynamics [original motivation :toolkit capable of studying high-resolution, three-dimensional models of lithospheric deformation]
- underworld -> Finite element modelling of geodynamics
- Discern detachment of the subducting slab in an ancient subduction zone using machine learning
- ThermoPlates -> integrate thermochronology data with plate tectonic, mantle dynamics, and paleoclimate model outputs for interpreting long-term exhumation histories
- HalTracks -> AI-based approach for constraining the thermal evolution of Earth's upper crust through automated digital fission-track analysis
- Paleocoordinates Calculator -> A user-friendly online tool for paleocoordinate calculation and 3D visualization
Geophysics
General
- Feature fusion-enhanced t-SNE image atlas for geophysical features discovery
- Geophysics Blakey
- Fortran version -> ports of Blakely geophysics algorithms
- Gridmerger -> Merge many overlapping grids with polynomial fitting and blending
Structural
- Structural Geophysics Tools -> QGIS aimed
Foundation Models
- Cross-Domain Foundation Model Adaptation: Pioneering Computer Vision Models for Geophysical Data Analysis -> some of code to come
- Seismic Foundation Model -> "a new generation deep learning model in geophysics"
- Geological Everything Model -> Geological Everything Model 3D: A Physics-informed Promptable Foundation Model for Unified and Zero-Shot Subsurface Understanding
- SeismicFoundationModel-01-2025 -> development of a multimodal AI model combining seismic waveforms and geophysical images, based on two foundation models: Seismic Foundation Model (SFM) and SeisLM
- NCS-Model -> The NCS-Model: A seismic foundation model trained on the Norwegian repository of public data
Australia
Regolith Depth
AEM Interpolation
Electromagnetics
- AEM-Assist
- TEM-NLnet: A Deep Denoising Network for Transient Electromagnetic Signal with Noise Learning
- OpenEM -> Large-scale multi-structural 3D datasets for electromagnetic methods
- Geoelectrical3D -> Model generation tool for OpenEM
- OpenEM Dataset
Inversion
- Machine Learning and Geophysical Inversion -> reconstruct paper from Y. Kim and N. Nakata (The Leading Edge, Volume 37, Issue 12, Dec 2018)
- Deep Learning for Magnetotelluric Data Inversion
- GP-Cubed -> Gaussian Processes for GeoPhysics and Geology Playground
- article -> Using NeuralOperator for Geophysical Surrogate Modeling
Euler deconvolution
- https://legacy.fatiando.org/gallery/gravmag/euler_moving_window.html
- Harmonica version eventually? https://hackmd.io/@fatiando/development-calls-2024?utm_source=preview-mode&utm_medium=rec
- https://notebook.community/joferkington/tutorials/1404_Euler_deconvolution/euler-deconvolution-examples
- https://github.com/ffigura/Euler-deconvolution-plateau
Gravity
- [Recovering 3D Basement Relief Using Gravity Data Through Convolutional Neural Networks]
- Stable downward continuation of the gravity potential field implemented using deep learning
- Fast imaging for the 3D density structures by machine learning approach
- Gravity Geophysics -> Julia package for 3D gravity forward modeling and analysis with UBC-GIF format support
Magnetics
Seismic
- StorSeismic -> An approach to pre-train a neural network to store seismic data features
- PINNtomo -> Seismic tomography using physics-informed neural networks
Seismology
- obspy -> framework for processing seismological
Petrophysics
- ML4Rocks -> Some intro work
Seismic
- torchseis -> 3D Deep Learning Framework for Seismic and Subsurface Modeling
- paper -> Memory-efficient full-volume inference for large-scale 3D dense prediction without performance degradation
Tectonics
- Discern detachment of the subducting slab in an ancient subduction zone using machine learning -> Notebook
- Colab notebook -> Google Colab input file for benchmark results of ML-SEISMIC publication
- Unleashing the power of Machine Learning in Geodynamics
- Physics-Infomred Neural Networks for fault slip simulation with rate and state friction law
- simulation and frictional paramter estimation on slow slip events
- paper -> Physics-Informed Deep Learning for Estimating the Spatial Distribution of Frictional Parameters in Slow Slip Regions
Geochemistry
- CODAinPractice -> Compositional Data Analysis in Practice
- GeoCoDa
- DAN-GRF -> Deep autoencoder network connected to geographical random forest for spatially aware geochemical anomaly detection
- Dash Geochemical Prospection -> Web-app classifying stream sediments with K-means
- DZ-ML -> Classifying Detrital Zircon U-Pb Age Distributions using Automated Machine Learning
- Enhancing machine learning thermobarometry for clinopyroxene-bearing magmas
- paper -> Enhancing-ML-Thermobarometry-for-Clinopyroxene-Bearing-Magmas
- Zircon fertility models -> Decision trees to predict fertile zircon from porphyry copper deposits
- Machine Learning Zircon Trace Element Tool to Predict Porphyry Deposit Type and Resource Size
- geology_class0 -> A machine learning approach to discrimination of igneous rocks and ore deposits by zircon trace elements
- geochemical anomaly detection -> Multivariate Outlier Detection in Geochemical Datasets
- GeochemPrint
- Global geochemistry
- ICBMS Jacobina -> Analysis of pyrite chemistry from a gold deposit
- indicator_minerals -> Can PCA can tell the story of the origin of tourmaline?
- Interpretation of Trace Element Chemistry of Zircons from Bor and Cukaru Peki: Conventional Approach and Random Forest Classification
- Journal of Geochemical Exploration - Manifold
- LewisML -> Analysis of the Lewis Formation
- MICA -> Chemical composition, in Shiny
- Multivariate statistical analysis and bespoke deviation network modeling for geochemical anomaly detection of rare earth elements
- Prospectivity mapping of rare earth elements through geochemical data analysis -> Prospectivity mapping of rare earth elements through geochemical data analysis
- QMineral Modeller -> Mineral Chemistry virtual assistant from the Brazilian geological survey
- Recognizing-geochemical-spatial-patterns-using-DCN-guided-with-geological-knowledge
- Secular Changes in the Occurrence of Subduction During the Archean -> Zenodo code archive
- [paper] https://www.researchgate.net/publication/380289934_Secular_Changes_in_the_Occurrence_of_Subduction_During_the_ArcheanA machine learning approach to discrimination of igneous rocks and ore deposits by zircon trace elements
Kriging
Natural Language Processing
Frameworks
- spacy -> NLP Library
Text Extraction
- Automated Extraction of Mining Company Drillhole Results
- BERT CWS
- Geocorpus
- Geological-table-analysis -> Understanding table content for mineral exploration reports using deep learning and natural language processing
- NASA Concept Tagging -> Keyword prediction
- API -> API web service
- Presentation
- Petrography Report Data Extractor
- Portuguese BERT
- SA Exploration Topic Modelling -> Topic modelling from exploration reports
- Stratigraph
- Text Extraction -> Text extraction from documents : paid ML as a service, but works very well, can extract tables efficiently
- Large Scale -> Large scale version
PDF handling
- pdfminer
- pdfplumber -> pdf table extraction
- pikepdf -> pdf image extraction
- PyMuPDF -> pdf parser
Tables
- camelot -> pdf text table extraction
- layoutparser -> deep learning layhout detection
- messytables -> find headers and datatypes
Heuristic Aids
Java
Python
- GIS Metadata parsing -> extract data from xml etc.
R
- crssuggest -> coordinate reference system suggerstions
- tidyxl
OCR
- Apache Tika -> OCR, content analysis
- Parsee PDF Reader - PDF Reading/OCR
- Tesseract -> OCR
Word Embeddings
- Geoscience Language Models -> processing code pipeline and models [Glove, BERT) retrained on geoscience documents from Canada
- GeoVec -> Word embedding model trained on 300K geoscience papers
- GeoVec Model -> OSF Storage for GeoVec model
- paper
- GeoVecto Litho -> 3D Models interpolation from word embeddings
- GeoVEC Playground -> Working with the Padarian GeoVec glove word embeddings model
- GloVe -> Standford library for producing word embeddings
- gloVE python glove, glove-python highly problematic on windows: here Binary version for Windows installs:
- Mittens -> In memory vectorized glove implementation
- PetroNLP -> Organisation
- PetroVec -> Portuguese Word Embeddings for the Oil and Gas Industry: development and evaluation
- Petro KGraph -> Ontological work with petrovec
- paper -> [UNSEEN]
- wordembeddingsOG -> Portuguese Oil and Gas word embeddings
- Portuguese Word Embeddings
- Spanish Word Embeddings
- Multilingual alignment
- Application-of-natural-language-processing-for-finding-semantic-relation-of-elusive-natural-resource
- paper -> Geological Inference from Textual Data using Word Embeddings
Named Entity Recognition
- Geo NER Model -> Named entity recognition
- GeoBERT - hugging face repo for model in
- GLiNER -> Few shot deep learning NER
- GLiNKER -> Entity linking framework combining NER, multi-layer database search, and neural entity disambiguation.
- INDUS -> NASA science tailored LLM suite
- How to find key geoscience terms in text without mastering NLP using Amazon Comprehend
- OzRock - OzRock: A labeled dataset for entity recognition in geological (mineral exploration) domain
- EntityTextMatchProject
- paper -> A deep learning matching method for geological spatial entities and descriptive texts
Ontology
- GAKG -> A Multimodal Geoscience Academic Knowledge Graph (Chinese)
- GeoERE-Net -> Understanding geological reports based on knowledge graphs using a deep learning approach
- GeoFault Ontology
- geosim -> Semantically Triggered Qualitative Simulation of a Geological Process
- [https://www.duo.uio.no/handle/10852/111467](Knowledge Modelling for Digital Geology) -> PhD thesis with two papers
- SIRIUS GeoAnnotator -> Website example from above
- Ontology CWS
- Stratigraphic Knowledge Graph (StraKG)
Spelling
- pyenchant -> spelling checker
Large Language Models
- GeoChat -> grounded Large Vision Language Model for Remote Sensing
- GeoGalactica -> A Larger foundation language model in Geoscience
- GeoLLM -> Qwen3.5-FineTune on WA Exploration Reports
- Geo-MAG -> Knowledge Graph-Enhanced Multimodal Retrieval-Augmented Generation Framework for Geological Map Understanding
- GeoMinLM -> GeoMinLM: A Large Language Model in Geology and Mineral Survey in Yunnan Province
- JiuZhou -> Open Foundation Language Models for Geoscience
- LAGDAL -> LLM Matching geology map information to location experiments
- Large Language Model for Geoscience
- MetalGPT -> built on Qwen/Qwen3-32B and incorporates both continual pre-training and supervised fine-tuning on domain-specific data from mining and metallurgy (Norilsk)
- OmniGeo -> Towards a Multimodal Large Language Models for Geospatial Artificial Intelligence
- GeoAssist ->
Chatbots
- GeoGPT -> Deep Time Digital Earth Research Group from China project
- GeoGPT -> Deep Time Digital Earth Research Group from China project
- GeoGPT-Research-Project
Cross-Section
- GeoSirr -> Translate free-form geological narratives into structured, coordinate-based cross-section geometries
- GeoSIRR: Geological Section Interpretation, Reconstruction & Refinement -> Zenodo Code
- paper -> GeoSIRR 1.0: Conversational Geological Cross-Section Modeling Using Large Language Models
Agents
Remote Sensing
- AiTLAS -> an open-source benchmark suite for evaluating state-of-the-art deep learning approaches for image classification in Earth Observation
- CIMAE -> CIMAE - Channel Independent Masked Autoencoder
- fork -> to give it the name for reference
- [Self-Supervised Representation Learning for Remote Sensing] -> Master's thesis includes the above and comparisons of several models
- CNN Sentinel -> Overview about land-use classification from satellite data with CNNs based on an open dataset
- Core-JEPA: LeJEPA for Earth Observation
- DEA notebooks -> Scalable machine learning example but lots of useful things here
- deep_learning_alteration_zones
- DS_UNet -> Unet fusing Sentinel-1 Synthetic Aperture Radar (SAR) and Sentinel-2 Multispectral Imager
- EASI cookbook notebooks -> CSIRO Earth Analytics platform introductions for ODC style analysis
- FSDFirner -> FSDFormer: A Frequency-Selected Differential Fusion Transformer for Remote Sensing Image Spatiotemporal Fusion
- GeoAI -> Artificial intelligence and geospatial intelligence - remote sensing
- GeoTorchAI -> GeoTorchAI: A Spatiotemporal Deep Learning Framework
- GHFMP -> Gradual Fusion Framework of Hyperspectral, Multispectral, and Panchromatic Images Using a Novel Spatial–Spectral Cross-Fusion Network
- Multi Pretext Masked Autoencoder (MP-MAE)
- data
- SamGIS -> Segment Anything applied to GIS
- EarthFoundationModels -> On the foundations of Earth foundation models
- paper -> On the foundations of Earth foundation models
- PCP -> Prompt-Based Cartographic-Level Polygonal Vector Extraction Framework for Remote Sensing Images
- [pytorcheo](https://github.com/earthpulse/pytorchEO -> Deep Learning for Earth Observation applications and research
- pytorch cloud geotiff optimization
- paper -> Optimizing Cloud-to-GPU Throughput for Deep Learning With Earth Observation Data
- SatMAE++ -> Rethinking Transformers Pre-training for Multi-Spectral Satellite Imagery
- grid-mae -> Investigate using multiscale grids in a Vision Transformer Masked Autoencoder
- SpecPool-Former -> Research on hyperspectral remote sensing alteration mineral mapping using an improved ViT model
- ScaleMae
- segment-geospatial -> Segment anything for geospatial uses
- U Barn
- earthnets
- Segmentation Gym -> Gym is designed to be a "one stop shop" for image segmentation on "N-D" - any number of coincident
- SynFSNet -> SynFSNet AFSIFormer: Adaptive Frequency–Spatial Interaction Attention Mechanism for Aerial Image Semantic Segmentation
- paper bands in a multispectral image
- awesome mining band ratio collection -> collection of simple band ratio uses for highlight various minerals
Foundation Models
- awesome remote sensing foundation models
- ChatEarthNet
- Zenodo
- [paper] -> a global-scale image–text dataset empowering vision–language geo-foundation models
- Clay -> An open source AI model and interface for Earth
- CROMA -> Remote Sensing Representations with Contrastive Radar-Optical Masked Autoencoders
- PAPER
- [GeoDINO]A Vision Foundation Model for Earth Observation Leveraging DINO Architecture and Sentinel-2 Multi-Spectral Data
- IBM-NASA-GEOSPATIAL Prithvi
- Image segmentation by foundation model finetuning -> For Prithvi
- AM-RADIO: Agglomerative Vision Foundation Model
- nasa-ibm-ai4science/NASA-IBM-Lunar-Foundation-Model -> nasa-ibm-ai4science/NASA-IBM-Lunar-Foundation-Model
- paper -> - Reduce All Domains Into One
- RemoteCLIP -> A Vision Language Foundation Model for Remote Sensing
- SpectralGPT
- zenodo) -> remote sensing foundation model customized for spectral data
- paper -> Unseen
- TerraFM -> A Scalable Foundation Model for Unified Multisensor Earth Observation
- [Terramind] (https://github.com/IBM/terramind) -> any-to-any generative foundation model for Earth Observation
- paper -> Terramind paper
- Scaling Remote Sensing Foundation Models -> paper
Processing
- ASTER Conversion -> Conversion from ASTER hd5 to geotiff NASA github
- HLS Data Resources -> Harmonized Landsat Sentinel wrangling
- sarsen -> xarray based SAR image processing and correction
- openEO -> openEO develops an open API to connect R, Python, JavaScript and other clients to EO cloud back-ends
Spectral Unmixing
- Conventional-to-Transformer-for-Hyperspectral-Image-Classification-Survey-2024
- Hyperspectral Deep Learning Review
- Hyperspectral Autoencoders
- Deeplearn HSI
- 3DCAE-hyperspectral-classification
- DeHIC
- Rev-Net
- paper -> A Reversible Generative Network for Hyperspectral Unmixing With Spectral Variability
- Pysptools -> also has useful heuristic algorithms
- Spectral Python
- Spectral Dataset RockSL -> Open spectral dataset
- Unmixing
- Unmamba -> Cascaded Spatial–Spectral Mamba for Blind Hyperspectral Unmixing
A Joint Multi-Scale Graph Attention and Classify-Driven Autoencoder Framework for Hyperspectral Unmixing
Hyperspectral
- CasFormer: Cascaded Transformers for Fusion-aware Computational Hyperspectral Imaging
- Spectral Normalization for Keras
- S^2HM^2 -> S2HM2: A Spectral-Spatial Hierarchical Masked Modeling Framework for Self-Supervised Feature Learning and Classification of Large-Scale Hyperspectral Image
Visualisation
- Deep Colormap Extraction from Visualizations
- Semantic Segmentation for Extracting Historic Surface Mining Disturbance from Topographic Maps -> Example is for coal mines
- International Chronostratigraphic Color Codes -> RGB codes and others in spreadsheet and other formats
- LithClass -> USGS version of lithology color codes
- color version
- SeisWiz -> Lightweight python SEG-Y viewer
Texture
Simulation
- Intelligent Prospector -> Sequential data acquisition planning
- Zenodo
Geometry
- Deep Angle -> Fast calculation of contact angles in tomography images using deep learning
Other
- Network Analysis of Mineralogical Systems
- Data -> Data from paper here
- GeospanNN
- paper -> Neural Networks for Geospatial Data
- Geoanalytics and machine learning
- Machine Learning Subsurface
- ML Geoscience
- Be a Geoscience Detective
- Earth ML -> Some basic tutorials in PyData approaches
- GeoMLA -> Machine Learning algorithms for spatial and spatiotemporal data
- open-geospatial -> Install multiple common packages at once
Platforms
Guides
- Geospatial CLI - List of geospatial command line tools
- Satellite Image Deep Learning
- Earth Observation
- Earth Artificial Intelligence
- Open Source GIS -> Comprehensive overview of the ecosystem
Data Quality
- Geoscience Data Quality for Machine Learning -> Geoscience Data Quality for Machine Learning Package
- Australian Gravity Data -> Overview and analysis of gravity station data
- Geodiff -> Comparison of vector data
- Redflag -> Analysis of data and an overview to detect problems
Machine Learning
- CuML -> CUDA accelerated
- Dask-ml -> Distributed versions of some common ML algorithms
- geospatial-rf -> Functions and wrappers to assist with random forest applications in a spatial context
- Geospatial-ml -> Install multiple common packages at once
Latent Space
- Nested Fusion
- paper -> Nested Fusion: Dimensionality Reduction and Latent Structure Analysis of Multi-Scale Nested Data for M2020 PIXL RGBU and XRF Data
Metrics
- scores -> Verifying and evaluating models and predictions with xarray
Probabilistic
- NG Boost -> probabilistic regression
- Probabilistic ML
- Bagging PU with BO -> Positive Unlabeled Bagging with Bayesian Optimisation
Spatial
- Spatial-Random-Forest
- paper -> Beyond random forest: how spatial bagging and spatial random forest dominate for subsurface applications?
Clustering
Self Organising Maps
- GisSOM -> Geospatial centred Self Organising Maps from Finland Geological Survey
- paper -> example of GisSOM example
- SimpSOM -> Self Organising Maps
GPU Accelerated
- GPU_PROCLUS -> gpu accelerated kmediods variant on subspaces
- GPU_PROCLUS -> Windows 11 / MVCC version
Self Organising Maps
- TorchSOM -> Self Organising Maps in Torch
- aweSOM -> Accelerated Self-organizing Map (SOM) and Statistically Combined Ensemble (SCE)
Other
Bayesian
- Bayseg -> Spatial segmentation
Explainability
- InterpretML -> Interpreting models of tabular data
- InterpretML -> Community addition
Deep Learning
- Deep Colormap Extraction -> Trying to extract a data scale from pictures
- Extract and Classify Images from Geoscience Documents
Data
- Xbatcher -> Xarray based data reading for deep learning
- zen3geo -> Xbatcher style data science with pytorch
Explainability
- Shap Values
- Weight Watcher -> Analyse how well networks are trained
- weightwatcher.ai
- weightwatcher-ai.com -> Professional web version
Self-supervised learning
- Self Supervised -> Pytorch lightning implementations of multiple algorithms
- Simclr
- Awesome self-supervised learning -> Curated list
Hyperparameters
Coding Environments
Community
- Software Underground - Community of people interested in exploring the intersection of the subsurface and code
- Chat Signup - SWUNG community chat signup
- Mattermost- Community chat service
- Old Slack Channel(deprecated, see mattermost above)
- Geoscience Open Source Tie-In
- Videos
- Awesome Open Geoscience[note Oil and Gas Biased]
- Transform 2021 Hacking Examples
- Segysak 2021 Tutorial
- T21 Seismic Notebook
- Practical Seismic with Python
- Transform 2021 Simpeg
- Pangeo
- Digital Earth Australia
- Open Source Geospatial Foundation
- OSGeoLive -> Bootable DVD/USB with lots of open source geospatial software
- ASEG -> videos from Australia Society of Exploration Geoscientists
- AI for Geological Modelling and Mapping -> videos from the conference day
- conference
Cloud Providers
AWS
- ec2 Spot Labs -> Making automatically working sith Spot instances easier
- Sagemaker Geospatial ML
- Sagemaker -> ML Managed Service
Batch
- Shepard -> Automated cloud formation setup of AWS Batch Pipelines: this is great
Packages
- Mlmax - Start fast library
- Smallmatter
- Pyutil
General
- Deep Learning Containers
- Loguru -> Logging library
- AWS GDAL Robot -> Lambda and batch processing of geotiffs
- Serverless Seismic Processing
- Lithops -> multi-cloud distributed computing framework
Overviews
Domains
Web Services
If listed it is assumed they are generally data, if just pictures like WMS it will say so.
World
- Critical Minerals and Deposits
- PANGAEA -> Data Publisher for Earth & Environmental Science
Australia
Geology
- AUSLAMP - > Tennant Creek - MtIsa
- Field Geology
- Deep Lithosphere -> Deep Lithospheric Mineral Potential
- Geochronology -> Geochronology
- Geological Provinces
- WMS -> WMS picture
- EGGS -> Estimates of Geological and Geophysical Surfaces
- Chronostratigraphic Surfaces -> 3D Chronostratigraphic Model of Australia
- Proterozoic Alkaline Rocks - Proterozoic Alkaline Rocks Dataset WFS {also has WMS}
- Cenozoic
- Mesozoic
- Paleozoic
- Archaean
- Stratigraphy -> Stratigraphic Units
Geophysics
- Geophysics Surveys
- Seismic Surveys -> Onshore seismic surveys
- Magnetotelluric -> Northern Australia AUSLAMP Stations
Other
- Ni-Cu-PEGE -> Intrusion hosted Nickel Copper PGE Deposits
- EFTF Area -> Exploring for the future areas
- Temperature -> Interpreted temperature
- DEA -> Digital Earth Australia
- Land Cover
- Waterbodies
- BOM -> Bureau of Meteorology Hydrogeochemistry
New South Wales
- NSW
- WCS
- WFS Mineral Drillholes
- WFS Petroleum Drillholes
- WFS Coal Drillholes
- Seismic -> Seismic and others
Queensland
- Queensland
- Geoscientific -> Geophysics and Report Index
- Geology
- Regional
- State
- Tenements
- Roads
- Watercourse
South Australia
- SARIG
- Drillholes
- Geology
- Geophysics
- Prospectivity
- Minerals and Mines
- Remote Sensing
- Seismic
- Tenements
Northern Territory
- NTGS -> Northern Territory Geological Survey
Tasmania
Victoria
Western Australia
New Zealand
- GNS -> List of web services
South America
Brazil
Peru
Mexico
- GeoInfo -> Rest services
Argentina
Colombia
Uruguay
Other
- SIG Andes -> Andes geology
Europe
EGDI -> EGDI Minerals
Britain
- BGS -> British Geological Survey
- Geoindex -> mineral occurrence example
- Rest -> BGS Rest services
- Inspire 625
Czech Republic
Denmark
- deus -> Greenland WMS/WFS
- Deus - Update? (needs checking)
- Greemin -> Greenland mineral resources portal
Iceland
Ireland
Finland
- GTK -> Geological Survey of Finland
- Arctic Minerals -> Arctic 1M Mineral Occurrences
Germany
Greenland
- Greenmin -> Web map portal
Hungary
Poland
- Rest example -> Many more mapservers
Portugal
Romania
- IGR -> WMS only
- IGR minres -> WMS only
Slovakia
Spain
- Spain
- Geology -> 200K
- 1M -> 1M
- 50K -> 50K
- IGME Geode
- Geophysics
- Copper - Copper
- GeoFPI - > Geology and Minerals South Portuguese Zone
- Water
Sweden
Ukraine
- Geoinform -> [currently suspended]
North America
Canada
USA
Asia
- China -> WMS mineral deposit wap
- orefield -> Mineral occurrence points
- India Mineral -> WMS
- India Geophysics
- Korea
- ASEAN wms -> no data, just picture
Africa
- Africa Geoportal -> Rest services
- Africa 10M -> Africa 10M Mineral Occurrences https://pubs.usgs.gov/of/2005/1294/e/OF05-1294-E.pdf
- IPIS Artisanal Mines - > There is a WMS version too
- github
- Uganda -> GMIS WMS
General
- Mineral Exploration Web Services -> QGIS plugin with access to many relevant web services
Other
- Open Street Map -> useful general tile service
APIs
- Open Data API -> GSQ Open Data Portal API
- CORE -> Open Research Texts
- API Notebook -> Example and fucntions
- SHARE -> Open Science API
- USGS Publications
- CROSSREF
- xDD -> former GeoDeepDive
- ADEPT -> GUI to xDD to search 15M harvested papers
- OpenAlex
- Macrostrat
- paper
- Macrostrat-xvec -> Macrostrat style data adaptation to xarray xvec
- OpenMinData -> facilitate querying and retrieving data on minerals and geomaterials from the Mindat API
- Iceland Geological Society
Data Portals
World
- Earth Model Collaboration -> access to various Earth models, visualization tools for model preview, facilities to extract model data/metadata and access to the contributed processing software and scripts.
- ISC Bulletin -> Earthquake focal mechanism search
- Magnetics Information Consortium -> paleomagnetic, geomagnetic, rock magnetic
- Earthchem -> Community-driven preservation, discovery, access, and visualization of geochemical, geochronological, and petrological data
- PANGAEA -> Earth and environmental science data
Australia
Geoscience Australia
- Geoscience Australia Data Catalogue
- AusAEM
- Geoscience Australia Portal
- Exploring for the Future Portal -> Geoscience Australia web portal with download information
- AusAEM
- AusLAMP
- Geochronology and Isotopes
- Hydrogeology Catchments -> search for catchments layer
- Critical Minerals Mapping Initiative
- Australian Stratigraphic Units
- Australian Borehole Stratigraphic Units -> Compilation for groundwater of sedimentary units
- Geoscience Australia Geophysics thredds -> OpendDAP and https access
- MORPH gdb -> Officer Musgrave drilling data
CSIRO
- CSIRO Data Access Portal
- Regolith Depth
- TWI -> Topographic Wetness Index
- ASTER Geoscience Maps -> Website
- FTP -> CSIRO ftp site
- ASTER Maps notes -> Notes for the above
AuScope
- 3D Geology -> Models from multiple areas
TERN
Bureau of Meteorology
- Groundwater Explorer -> Bureau of Meteorology
Foundational Spatial Data
South Australia
- SARIG -> South Australia Geological Survey geospatial map based search
- SARIG Catalogue -> data catalogue
- 3D Models
- Data Packages - Annual update
- s3 Reports -> Reports and textracted versions in s3 bucket with web interface)
- Reports
- Seismic
- Seismic downloads -> One page of links
Northern Territory
- STRIKE -> Northern Territory Geological Survey
- GEMIS
- McArthur Basin -> 3D Model
- Geophysical Surveys
- Geophysics -> reference
- Drilling and Geochemistry -> reference
- Data Package -> data package
Queensland
Western Australia
- GEOVIEW -> Western Australia Geological Survey
- DMIRS -> DMIRS Data and Software Centre
- Download URLS -> dataset of download links
- Drilling and Geochemistry
- Download package - improvement?
- Geochemistry
- Petroleum Wells with depths
- data WA subset
NSW
Tasmania
Victoria
- Earth Resources
- GeoVIC -> Webmaps needs registration to be more useful
New Zealand
- Exploration Database -> Online
- GERM -> Geological Resource Map of New Zealand
- Geology -> Web Map
South America
Argentina
Bolivia
- SERGEOMIN IDE -> Bolivia Geological Mining Service geospatial data
Brazil
- CPRM -> Brazil Geological Survey
- Downloads -> Brazil Geological Survey Downloads
- Rigeo -> Institutional Repository of Geosciences
Chile
Colombia
Ecuador
- IIGE Geoenergia -> Ecudaor energy institute geological, mineral and energy resources
Mexico
Paraguay
Peru
- Ingemmet GeoPROMINE -> Geological Survey of Peru
- GeoMAPE
Uruguay
Europe
- EGDI -> European Geological Data Infrastructure Pan-European geological data portal with 800+ map layers including mineral occurrences and critical raw materials; OGC WFS/WMS services at https://www.europe-geology.eu/data-tools/
- Inspire -> Inspire Geoportal
Austria
- GeoSphere -> Austrian geological and geophysical open data hub with FAIR datasets; REST API available
Belgium
- RBINS -> Royal Belgian Institute of Natural Sciences (RBINS) — geological maps, subsurface databases and mineral resource data for
Bulgaria
- Bulgarian Geological Institute -> Bulgarian Academy of Sciences Geological Institute — geological databases, maps and mineral resources data
Croatia
Czech Republic
- GS -> Czech Geological Survey
- GS (English) -> Czech Geological Survey English version
Denmark
Finland
- Minerals4EU
- GTK -> Geological Survey of Finland
- Geochemical Maps -> pdf only!
France
- Infoterre -> French Geological Survey
Germany
Greece
- IGME Geoportal -> Greek Institute of Geology and Mineral Exploration — geological maps, mineral deposits, geochemistry and geophysics data portal; WMS/WFS at gis.igme.gr
Hungary
Ireland
- GSI -> Geological Survey of Ireland
- GSI - Map viewer
- Goldmine -> Map and document search
- data.gov.ie -> National portal view
- isde -> Irish Spatial Data Exchange
- ISPRA Geological Survey -> Italian geological survey portal with geological maps, mineral resources, and OGC web services (WMS/WFS/WCS)
- DINOloket -> Netherlands subsurface data portal with boreholes, geology, groundwater and mineral information (TNO); WFS/WMS services
Norway
- NGU -> Norway Geological Survey
- database -> Mineral resources and stratigraphy lookups
- github
- API
- Geoporta -> Geophysics
- GEONORGE -> Data catalogue with download
Poland
Portugal
Romania
- IGR -> Romania Geological Survey
- Mineral Resources
Russia
- Russian Geological Research Institute -> Inaccessible currently
- RGU -> GIS project of deposits
Serbia
- Geological Survey of Serbia -> Serbia Geological Survey — geological maps, mineral deposits database and geohazard data
Slovakia
Slovenia
Spain
- IGME -> Spanish Geological Survey
Sweden
- SGU -> Swedish Geological Survey
Switzerland
- Swisstopo Geology Data -> Federal Office of Topography geology datasets — national geological maps, boreholes, tectonics and mineral resources open data; STAC API at https://data.geo.admin.ch/api/stac/v1/
Ukraine
United Kingdom
- Britain
- mapserver
- github
- UK Onshore Geophysical Library
- OS Data Hub British Geology
- Mineral Potential -> BGS mineral potential mapper
North America
Canada
- Natural Resources Canada
- github
- Geoscience Data Repository -> DAP Server
- Mining Web Map Portal
- DEM -> Canada DEM in COG format
- CDEM -> Digital Elevation Model (2011)
- Ontario
- Quebec
- SIGEOM Database
- Drilling
- British Columbia
- Mineral occcurrence database
- Yukon
- Nova Scotia
- provincial
- Prince Edward Island
- Saskatchewan
- Mineral occurrence database
- Newfoundland -> didn't work in Chrome, tried it in Edge
- New Brunswick
- Alberta
- Interactive Mapping Application
- Northwest Territories
- Mineral Tenure
- Nunavut Geoscience
USA
- USGS -> Map database
- MRDS -> Mineral Resources Data Systems
- Earth Explorer -> USGS Remote Sensing Data Portal
- National Map Database
- National Map Database
- Alaska
- ReSci -> Registry of Scientific Collections of the National Geological and Geophysical Data Preservation Program
- Michigan
Africa
- Cadastre
- Hydrogeology -> Hydrogeology and geology from groundwater atlas
- West Africa -> Mineral deposits
- Namibia
- Mineral Occurrences
- Miners
- South Africa -> South Africa geological survey
- Mineral Occurrences -> Example where you need to log in to download
- Uganda -> GMIS portal
- Metallic minerals
- Tanzania
- Mineral Occurrences
- Mines
- SIGM -> Tunisia Geology and Mining
- Zambia -> Zambia tenements here
Asia
ASEAN
China
Indonesia
India
- Bhukosh -> India Geological Survey
- Note Rajasthan geology doesn't work except piecemeal which is painful - if you want it, let me
Japan
- [IGG Data] (https://unit.aist.go.jp/igg/en/database/index.html)
Korea
Saudi Arabia
Thailand
Other
Geology
- StratDB
- GEM Global Active Faults
- RRuff Mineral Properties
- article -> Evolutionary system of mineralogy
- OneGeology
- catalog
Iran
Geology
General
- OSF -> Open Science Foundation
- Sediment Hosted Base Metals -> Sediment Hosted Base Metals
- Lithosphere Athenosphere Boundary -> LAB Hoggard/Czarnota
- Geological Survey list
Reports
Australia
- Northern Territory GEMIS
- South Australia SARIG
- Western Australia WAMEX
- Queensland
- NSW Digs
- PorterGEO -> World mineral deposits databases with summary overviews
- Sustainable Minerals Institute -> Queensland organisation of university affiliated researchers producing datasets and knowledge
Canada
- British Columbia
- Search -> Mineral Assessment Reports
- Publications -> Publications
- Ontario -> Mineral Asssessment Reports
- Alberta
- Yukon
- Footprint
- Manitoba
- Newfoundland and Labrador
- Northwest Territories
- Nova Scotia
- Quebec
- Saskatchewan
USA
UK
- British Geological Survey NERC
- Mineral Potential
- Search
- API example
- Publications
- MEIGA -> MEIGA 600 BGS mineral exploration project reports
Sweden
- GeoLagret -> Sweden
Other
- MinData -> Compilation of rock locations from around the world
- Mineral Database -> Exportable list of minerals with scientific properties and ages
- NASA
- ResearchGate -> Researcher and professional network
Tools
GIS
- QGIS -> GIS Data Visualisation and Analysis Open Source desktop application, has some ML tools : Indispensible for some quick and easy viewing
- 2D Geology in QGIS -> Workshop for QGIS NA 2020 introducing geologic maps and cross-sections for students and hobbyists
- OpenLog -> Drillhole plugin beta
- Geo-SAM -> QGIS plugin for Segment Anything with rasters
- QGIS Project Packager
- Weights-of-Evidence
- plugin
- GRASS
- saga -> mirror of sourceforge
3D
-
PyVista -> VTK wrapping api for great data visualisation and analysis
- PVGeo
- Pyvista-Xarray -> Transforming xarray data to VTK 3D painlessly: a great library!
- OMFVista -> Pyvista for Open Mining Format
- Scipy 2022 Tutorial
-
TorchMesh -> GPU accelerated Mesh programming with PyVista integration
-
PyMeshLab -> Mesh transformation
-
- GUI -> Desktop version
-
Geolambda -> AWS Lambda setup
-
- geoh5py -> getting data to and from geoh5 projects
- geoapps -> notebook based applications for geophysics via geoh5py
- geoh5vista
- gams -> magnetic data analysis
- paper - A Framework for Mineral Geoscience Data and Model Portability - geoh5
Geospatial General
- Python resources for earth science
- geoutils -> geospatial analysis and foster inter-operability between other Python GIS packages.
Vector Data
Python
- Geopandas
- Dask-geopandas
- geofileops -> Increased speed spatial joins via database functions and geopackage
- Kart -> Distributed version control for daata
- PyESRIDump -> Library to grab data at scale from ESRI Rest
- DuckDB Spatial Extension -> Can also use standalone no install necessary executable
- Pairwise -> Pairwise parallel geospatial processing
R
- SF
- terra -> terra provides methods to manipulate geographic (spatial) data in "raster" and "vector" form.
Raster Data
C
- exactextract -> command line zonal stats in C
Julia
- Rasters.jl -> reading and writing common raster data types
Python
- Rasterio -> python base library for raster data handling
- georeader -> process raster data from different satellite missions
- Rasterstats -> summarising geospatial raster datasets based on vector geometries
- Raster threading -> raster threading tests
- Xarray -> Multidimensional Labelled array handling and analysis
- Rioxarray -> Fabulous high level api for xarray handling of raster data
- gdalxarray -> integrate GDAL with xarray, especially for the multidimensional API
- Geocube -> Rasterisation of vector data api
- ODC-GEO -> Tools for remote sensing based raster handling with many extremely handy tools like colorisation, grid workflows
- Rasterix -> Raster tricks for xarray
- COG Validator -> checking format of cloud optimised geotiffs
- Griffine -> utilities for working with affine grids
- ouroboros -> Extract terrible GDB rasters to something else!
- serverless-datacube-demo -> xarray via lithops / Coiled / Modal
- tifviewer -> Lightweight cli geotiff viewer
- Xarray Spatial -> Statistical analysis of raster data such as classification like natural breaks
- xarray-einstats -> Stats, linear algebra and einops for xarray
- xdggs -> Other types of grids
- xgcm -> Histograms with labels
- xrft -> Xarray based Fourier Transforms
- xvec -> Vector data cubes for Xarray
R
- Raster -> R library
- terra -> provides methods to manipulate geographic (spatial) data in "raster" and "vector" form.
- stars -> spatiotemporal Arrays: Raster and Vector Datacubes
- exactextracr -> raster zonal statistics for R
Rust
- async-geotiff -> Cloud optimised tiff reading
Benchmarks
- raster-benchmark -> Benchmarking some raster libaries in python and R
Gui
- Whitebox Tools -> python api, gui, etc. have used for topographical wetness index calculation
Other
- Smoothify -> Smoothing out polygonised raster data
Data Collection
- PiAutoStage -> 'An Open-Source 3D Printed Tool for the Automatic Collection of High-Resolution Microscope Imagery;' designed for mineral samples.
ok ## Data Conversion
GOCAD
- AuScope -> Data from binary GOCAD models
- GOCAD SG Grid Reader
- geomodel-2-3dweb -> In here they have a method to extract data from binary GOCAD SG Grids
- GOCAD TS Surface Reader -> GOCAD TS Surface Reader
Geosoft
-
Harmonica Geosoft Grid -> Pull request in progress on conversion to xarray
- Loop Geosoft Grid -> old version
-
Geophysics Data Reverse Engineering -> framework for analysing and reverse engineering legacy binary geophysics data formats
-
mining-ds-toolkit -> Datamine binary converter
-
OMF -> Open Mining Format for conversion between things
Geochemistry
- Pygeochemtools -> library and command line to enable rapid QC and plotting of geochemical data
- SA Geochemical Maps -> Data Analysis and plotting of South Australia geochemistry data from the Geological Survey of SA
- Geochemical levenning
- Scott Halley's geochemistry tutorial
- Periodic Table
Geostatistics
Geochronology
- Geologic Time Scale -> Code to produce, but also has a nice regular csv of the Ages
Geology
-
Gempy -> Implicit Modelling geo-lm -> GemPy models via Llama-4
-
Gemgis -> Geospatial Data Analysis assistance
-
LoopStructural -> Implicity Modelling
-
Manual python geologia -> Analysis of geology data
-
Map2Loop -> 3D Modelling Automation
- Loop3D -> GUI for Map2Loop
- Loop Autobedding -> Can you do approximates for use with above when none
-
SA Stratigraphy -> Stratigraphy database editor webapp
-
Global Tectonics -> Open source dataset to build on, plates, margins etc.
Geophysics
- Geoscience Australia Utilities
- Geophysics for Practicing Geoscientists
- Potential Field Toolbox -> Some xarray based Fast Fourier Transform filters - derivatives, pseudogravity, rpg etc.
- Notebook -> Class with some examples [Vertical derivative, Pseudogravity, Upward Continuation etc)
- Computation geophysics sandbox
- RIS Basement Sediment -> Depth to Magnetic Basement in Antarctica
- Signal Image Processing
Electromagnetic
- Geoscience Australia AEM
- UH Electromagnetics -> Coursework notebooks on understanding this domain
- AEM Interpretation
- EMag Py -> FDEM
- ResIPy -> DC / IP
Gravity and Magnetics
- Harmonica
- Filter examples -> Fast Fourier transform based processing via xarray
- Australian Gravity Data
- Worms
- Worms update <- potential fields worm creation with some minor updates to handle new networkx api *github mirror
- Osborne Magnetic -> Survey data processing example
Seismic
- Segyio
- Segysak -> Xarray based seg-y data handling and analysis
- Geophysical notes -> Seismic data processing
Magnetotellurics
- MtPy
- Tutorials
- MtPy -> update of the above to make things easier
- Mineral Stats Toolkit -> Distance to MT features analysis
- Lithospheric conductors paper
- mtwaffle -> MT data analysis examples
- pyMT
- resistics
- MECMUS -> tools to read Electrical Conductivity model of the USA
- model
Gridding
- GMT
- Verde
- Grid_aeromag -> Brazilian gridding example
- pyinterp -> Multidimensional gridding via Boost
- Pseudogravity -> From Blakely, 95
Inversion
- SimPEG
- Gimli
- Tomofast-x
- USGS anonymous ftp
- USGS Software -> longer list of older useful stuff: dosbox, anyone?
- Geophysics Subroutines -> Fortran code
- 2020 Aachen Inversion problems -> Overview of gravity inversion theory
Geochemistry
Drilling
- dh2loop -> Drilling Interval assistance
- drilldown -> Drilling visualisation in notebooks via geoh5py -> note desurveying
- PyGSLib -> Downhole surveying and interval normalising
- pyborehole -> Processing and visualizing borehole data
- dhcomp -> composites geophysical data to a set of intervals
Remote Sensing
- ASTER Analysis -> Global time series analysis of ASTER public data
- Awesome spectral indices -> Guide to spectral index creation
- Lefa -> Fracture analysis, lineaments
- Open Data Cube
- DEA Notebooks -> Code for use in ODC style workflows
- Datacube-stats -> Statistical analysis library for ODC
- Geo Notebooks -> Code examples from Element 84
- Raster4ML -> A large number of vegetation indices
Serverless
- Kerchunk -> Serverless access to cloud based data via Zarr
- Kerchunk geoh5 -> Access to Geoscient Analyst/geoh5 projects serverlessly via kerchunk
- Tifffile variant
- Virtuallizar -> Similar idea to kerchunk
- icehunk -> Transactional storage engine for tensor / ND-array data designed for use on cloud object storage.
Stac catalogues
- DEA Stackstac -> Examples of working with Digital Earth Australia data
- Intake-stac
- ML AOI Extension
- ML Model Extension Specification -> Machine Learning Model Specification for CatalogingSpatio-Temporal Models
- ODC-Stac -> Database free Open Data Cube
- Pystac
- Sat-search
- Stackstac -> Metadata speeded up dask and xarray timeseries
Reverse Engineering
Statistics
Visualisation
Mineral Potential
- Nickel Mineral Potential Mapping -> ESRI Based analysis
- Prospectivity Online Tool
Mining Economics
- Bluecap -> Framework from Monash University for assessing mine viability
- Zipfs Law -> Curve fitting the distribution of Mineral Depositions
- PyASX -> ASX Data Feed scraping
- Metal Price API -> Containerised Microservice
Visualisation
- Napari -> Multidimensional image viewer
- Holoviews -> Large scale data visualisation
- Graphviz -> Graph plotting/viewing assistance windows installation info
- Spatial-kde
Colormaps
- CET Perceptually Uniform Colormaps
- PU Colormaps -> Formatted for user in Geoscience Analyst
- Colormap distortions -> A Panel app to demonstrate distortions created by non-perceptual colormaps on geophysical data
- Ripping Data from Colormpas
- Open Geoscience Code Projects
Geospatial
- Geospatial >- installs multiple common python packages
- Geospatial python -> Curated list
Technology Stacks
C
- GDAL -> Absolutely crucial data transformation and analysis framework
- Tools -> Note has many command line tools that are very useful as well
Julia
- Julia Earth -> Fostering geospatial data science and geostatistical modeling in Earth sciences
- Julia Geodynamics -> computational geodynamics code
- Introduction to Julia for Geoscience
- Zarrs -> Zarr for Julia
Python - PyData
- Anaconda -> Get lots installed already with this package manager.
- GDAL et al -> Take the pain out of GDAL and Tensorflow installs here
- Git Bash -> Getting conda to work in Git Bash
- Numpy Multidimensional arrays
- Pandas Tabular data analysis
- Matplotlib visualisation
- Zarr -> Compressed, chunked distributed arrays
- Dask -> Parallel, distributed computing
- Dask Cloud Provider -> Automatically start dask clusters on the cloud
- Dask Median -> Notebook giving a Dask median function prototype
- Python Geospatial Ecosystem -> Curated information
Rust - GeoRust
- GeoRust -> Collection of geospatial utilities in rust
Databases
- DuckDB -> In process OLAP DB at speed - has some geospatial and array capabilities
- ibis + Duckdb geopsatial -> scipy2024 talk
Data Science
- Python Data Science Template -> Project package setup
- Awesome python data science -> Curated guide
Probability
- distfit -> Probability density fitting
Science
Docker
- AWS Deep Learning Containers
- Spatial Docker
- DL Docker Geospatial
- Rocker
- Docker Lambda
- Geobase
- DL Docker Geospatial
Ontologies
- Geological Society of Queensland vocabularies
- Geological Society of Western Australia
- Stratigraphic
- Geoscience Knowledge Manager
- GeoSciML Vocabularies
Books
Python
- Python geospatial analysis cookbook
- Geoprocessing with Python -> Manning livebook
Other
- Textbook
- Machine Learning in the Oil and Gas industry
- Geocomputation with R
- Earthdata Cloud Cookbook -> How to access NASA resources
- Data Cleaner's Cookbook -> Putting unix tools to good use for data wrangling and cleaning
- Encyclopedia of Mathematical Geosciences
- Handbook of Mathematical Geosciences
Other
- GXPy -> Geosoft Python API
- EarthArxiv -> Download papers from the preprint archive
- Essoar -> Preprint paper archive
Datasets
World
Drilling
Ocean
Oil and Gas Wells
- GOGI -> GOGI Oil and Gas wells
- OGIM -> Oil and Gas Infrastructure Mapping [including wells]
- paper -> OGIM paper
- supplement -> Permian Basin ML check
- paper -> Wellpad detection from space
Geochemistry
Geology
- Bedrock -> Generalised geology of the world
- GLIM -> Global lithology map
- Paleogeology An Atlas of Phanerozoic Paleogeographic Maps
- Phanerozoic Paleoclimate
- Sedimentary Layers -> Global 1-km Gridded Thickness of Soil, Regolith, and Sedimentary Deposit Layers
- World Stress Map -> Global compilation of information on the crustal present-day stress field
- GMBA -> Global mountain inventory
Minerals
MineralTD -> dataset containing 400 unique minerals for ML
- zenodo
- paper -> MRMinerals and MineralTD: Machine-Readable Mineral Formula and Compositions Data Set for Data-Driven Research
Geophysics
Gravity
Magnetics
Magnetotellurics
- EMC -> global 3D inverse model of electrical conductivity
Remote Sensing
- GEBCO_2024 Grid -> global continuous terrain model for ocean and land with a spatial resolution of 15 arc seconds.
Seismic
- LAB SLNAAFSA
- LAB CAM2016
- Moho -> GEMMA Data
- Moho -> Szwillus Data
- Seismic Velocity - > Debayle et al
- LithoRef18 -> A global reference model of the lithosphere and upper mantle from joint inversion and analysis of multiple data sets
- CRUST1.0 -> global crustal model netcdf
- Overview homepage
Thermal
General
- Deep Time Digital Earth -> Data and visualisation for a variety of data sources and models
- EarthChem -> Community-driven preservation, discovery, access, and visualization of geochemical, geochronological, and petrological data
- GEOROC -> Geochemical composition of rocks
- Global Copper Deposits
- global geology -> A short recipe to make a global geology map in GIS format (e.g. shapefile), with age ranges mapped to the GTS2020 timescale
- Large Igenous Provinces Commission
- Mantle Plumes
- Sediment Thickness -> Map
- spatialreference.org -> repository for the website
Australia
Geochemistry
- Predictive grids of major oxide concentrations in surface rock and regolith over the Australian continent -> Various oxides & IGC -> Industry Geochemistry pilot
Geology
- Alkaline Rocks Atlas
- Cenozoic
- Mesozoic
- Paleozoic
- Archaean
- search
- Proterozoic Alkaline Rocks -> Proterozoic alkaline and related igneous rocks of Australia GIS
- Cenozoic
- Mesozoic
- Paleozoic
- Archaean
- 3D Chronostratigraphic Surfaces
- Hydrogeology -> Hydrogeology Map of Australia
- Hydrogeology -> 5M
- Layered Geology -> 1M
- Surface Geology -> 1M Scale
- The Australian Mafic-Ultramafic Magmatic Events GIS Dataset
Geophysics
- Gravity -> 2019 Australian National Gravity Grids
Magnetics
- TMI -> Magnetic Anomaly Map of Australia, Seventh Edition, 2019 TMI
- 40m -> 40m version
- VRTP -> Total Magnetic Intensity (TMI) Grid of Australia with Variable Reduction to Pole (VRTP) 2019
- 1VD -> Total Magnetic Intensity Grid of Australia 2019 - First Vertical Derivative (1VD)
Radiometrics
- Radiometrics -> Complete Radiometric Grid of Australia (Radmap) v4 2019 with modelled infill
- K -> Radiometric Grid of Australia (Radmap) v4 2019 filtered pct potassium grid
- U -> Radiometric Grid of Australia (Radmap) v4 2019 filtered ppm uranium
- Th -> Radiometric Grid of Australia (Radmap) v4 2019 filtered ppm thorium
- Th/K -> Radiometric Grid of Australia (Radmap) v4 2019 ratio thorium over potassium
- U/K -> Radiometric Grid of Australia (Radmap) v4 2019 ratio uranium over potassium
- U/Th -> Radiometric Grid of Australia (Radmap) v4 2019 ratio uranium over thorium
- U squared/Th -> Radiometric Grid of Australia (Radmap) v4 2019 ratio uranium squared over thorium
- Dose Rate-> Radiometric Grid of Australia (Radmap) v4 2019 filtered terrestrial dose rate
- Ternary Picture -> Radiometric grid of Australia (Radmap) v4 2019 - Ternary image (K, Th, U)
AusAEM
- AusAEM 1 -> AusAEM Year 1 NT/QLD Airborne Electromagnetic Survey; GA Layered Earth Inversion Products
- AusAEM 1 -> AusAEM Year 1 NT/QLD: TEMPEST® airborne electromagnetic data and Em Flow® conductivity estimates
- AusAEM 1 -> AusAEM1 Interpretation Data Package
- AusAEM 2 -> AusAEM 02 WA/NT 2019-20 Airborne Electromagnetic Survey
- AusAEM–WA -> AusAEM–WA, Murchison Airborne Electromagnetic Survey Blocks
- AusAEM–WA -> AusAEM-WA, Southwest-Albany Airborne Electromagnetic Survey Blocks
- AusAEM–WA -> AusAEM WA 2020-21, Eastern Goldfields & East Yilgarn Airborne
- AusAEM–WA -> AusAEM (WA) 2020-21, Earaheedy & Desert Strip
- AusAEM ERC -> AusAEM Eastern Resources Corridor
- AusAEM WRC -> AusAEM Western Resources Corridor
- interp overview
- National surface and near-surface conductivity grids -> National ML interpolation for AusEM in similar fashion to Northern Australia
AusLAMP
- AusLAMP SEA -> Resistivity model of the southeast Australian mainland from AusLAMP magnetotelluric data
- Victoria Data
- NSW Data
- AusLAMP TISA -> Resistivity model derived from magnetotellurics: AusLAMP-TISA project
- AusLAMP Delamerian -> Lithospheric resistivity model of the Delamerian Orogen from AusLAMP magnetotelluric data
- AusLAMP NE SA
- AusLAMP Gawler
- AusLAMP Stations -> circa 2017
- Tasmanides Paper
Moho
Mineral Deposits
- Geological setting, age and endowment of major Australian mineral deposits
- A Comprehensive dataset for Australian mine production 1799 to 2021
Mineral Potential
- Overview - Geoscience Australia -> Overview of publications and datasets
- Sediment Hosted Zinc
- Report
- Sediment Hosted Copper
- Report
- Abstract
- Carbonatite Rare Earth Elements
- Unconformity Rare Earth Elements
- Cenozoic Heavy Mineral Sands
Mine Waste
Native Title
Remote Sensing
- Landsat Bare Earth - Bare earth median from Landsat
- Enhanced barest earth Landsat imagery for soil and lithological modelling: Dataset -> Details of an enhancement
- Global mining footprint mapped from high-resolution satellite imagery -> Mine mapping
- DEM -> Australia 1 sec SRTM DEM of various varieties
- Land Water Mask - 3km geotiff mask
Structure
Velocity
- AU Tomo -> Next-generation velocity model of the Australian crust from synchronous and asynchronous ambient noise imaging
Topography
- Multiscale Topographic Position - RGB
- Info
- Topographic Wetness Index - 1 and 3 arc seconds
- Info
- Topographic Position Index - 1 and 3 arc seconds
- Info
- Weathering Intensity Model
- Info
- {Info](https://researchdata.edu.au/weathering-intensity-model-australia/1361069)
Northern
- Cover thickness TISA -> Cover thickness points for Tennant Creek Mt Isa with interpolated grids
- High resolution conductivity mapping using regional AEM survey and machine learning -> ML conductivity interpolation for AusAEM
- Extended abstract
- Solid Geology -> Solid Geology of the North Australian Craton
- Inversion Models -> The North Australian Craton 3D Gravity and Magnetic Inversion Models
- Ni-Cu-PGE -> Potential for intrusion-hosted Ni-Cu-PGE sulfide deposits in Australia: A continental-scale analysis of mineral system prospectivity
- TISA IOCG -> Iron oxide copper-gold (IOCG) mineral potential assessment for the Tennant Creek – Mt Isa region: geospatial data
- TISA Alteration -> Producing Magnetite and Hematite Alteration Proxies using 3D Gravity and Magnetic Inversion
South Australia
Geology
- Bedrock Geology
- Crystalline Basement -> Crystalline basement intersecting drillholes
- Mines and Mineral Deposits
- Mineral Drillholes
- Solid Geology 3D
- 100K Faults
- Archaean
- Archaean Faults
- Mesoproterozoic -> Middle
- Mesoproterozoic -> Middle faults
- Mesoproterozoic - > Late
- Mesoproterozoic Faults -> Late faults
- Neoproterozoic
- Neoproterozoic faults
- Stuart Shelf Sedimentary Copper 3D Model
- Surface Geology
Geophysics
- AusLAMP 3D -> Magnetotelluric inversions
- GCAS -> Gawler Craton Airborne Survey
- Gravity -> Gravity grids
- Stations -> Gravity stations
- Magnetics -> Magnetics
- Seismic Lines -> Seismic lines
Gawler
- Gawler MPP -> Gawler Mineral Promotion Project - Data
Queensland
- Overview
- Deep Mining Queensland-> Deep Mining Queensland
- Deposit Atlas -> Northwest Mineral Province Deposit Atlas
- Geology -> Geology series overview
- Mineral and Energy Report -> NORTH-WEST QUEENSLAND MINERAL AND ENERGY PROVINCE REPORT 2011 - NWQMEP
- Vectoring -> Mineral geochemistry vectoring
- Petroleum Wells
- Coal Seam Gas Wells
- Drillholes
Cloncurry
- Toolkit -> Multielement toolkit and laboratory
Northern Territory
- Arunta IOCG -> Iron oxide-copper-gold potential of the southern Arunta Region
- South Uranium -> Southern Northern Territory uranium and geothermal energy systems assessment digil data package
- Tennant Creek -> Conductivity Model Derived from Magnetotelluric Data in the East Tennant Region, Northern Territory
New South Wales
Geology
- Seamless Geology -> NSW Seamless Geology Data Package (older version also on this page)
Mineral Potential Data Packages
Western Australia
Geochemistry
Geology
- 100K Bedrock
- 100K mapsheets for surface you have to download individually and combine - they aren't consistent
- 250K mapsheets for surface you have to download individually and combine - they aren't consistent
- 500K Bedrock
- Abandoned Mines
- Mineral Occurrences
Mineral Potential
Prospectivity
- Capricorn-> Prospectivity analysis using a mineral systems approach - Capricorn case study project
- King Leopold -> Mineral prospectivity of the King Leopold Orogen and Lennard Shelf: analysis of potential field data in the west Kimberley region
- Yilgarn Gold
- Yilgarn 2 -> Predictive mineral discovery in the eastern Yilgarn Craton: an example of district-scale targeting of an orogenic gold mineral system
- [Shop note] -> WA has a few prospectivity packages available to purchase on USB drive for 50-60AU type prices - see in geospaital maps section
Tasmania
Geology
Victoria
New Zealand
- Mineral Data Pack -> Mineral Exploration Data Pack
North Americia
- National-Scale Geophysical, Geologic, and Mineral Resource Data and Grids -> Also has some Australia data
- Groundwater wells -> Database
- Maximum horizontal stress orientation and relative stress magnitude (faulting regime) data throughout North America
- NWUS-MT-2025 -> 3-D electrical resistivity model of northwestern U.S. by FEMTIC with non-conforming deformed hexahedral mesh
- paper -> Revealing the Non-uniqueness Inherent in MT Inversion: A Comparative Study of Influential Factors and Algorithm-Dependent Uncertainties in FEMTIC and ModEM with USArray MT Data
Canada
Geochemistry
- Database of Canadian surveys -> some standardisation done here
Geology
- Map
- Geology -> Updated Bedrock geology map
- Geology -> Bedrock geology compilation and regional synthesis of south Rae and parts of Hearne domains, Churchill Province, Northwest Territories, Saskatchewan, Nunavut, Manitoba and Alberta
- Moho -> National database of Moho depth estimates estimates from seismic refraction and teleseismic surveys
Geophysics
- Dap Search -> Geoportal search - note annoyingly these are in Geosoft grids - see elsewere for conversion possibilties
- [Gravity, Magnetics, Radiometrics] -> Mostly country scale
Newfoundland
Europe
European
Finland
- FODD -> Fennoscandian Mineral Deposits
Ireland
- MPM -> Mineral Potentinal Mapping project
Papers with Code
NLP
- https://www.sciencedirect.com/science/article/pii/S2590197422000064?via%3Dihub#bib20- -> Geoscience language models and their intrinsic evaluation -> NRCan code above [includes model]
- https://www.researchgate.net/publication/334507958_Word_embeddings_for_application_in_geosciences_development_evaluation_and_examples_of_soil-related_concepts -> GeoVec [includes model]
- https://www.researchgate.net/publication/347902344_Portuguese_word_embeddings_for_the_oil_and_gas_industry_Development_and_evaluation -> PetroVec [includes model]
- A resource for automated search and collation of geochemical datasets from journal supplements
Geochemistry
Geology
- https://github.com/sydney-machine-learning/autoencoders_remotesensing -> Stacked Autoencoders for Lithological Mapping
Mineral
Papers with Features Data
- These you can reproduce the output geospatially from the data given.
Mineral Prospectivity
- https://www.sciencedirect.com/science/article/pii/S016913682100010X#s0135 -> Prospectivity modelling of Canadian magmatic Ni (±Cu ± Co ± PGE) sulphide mineral systems [well worth reading]
- https://www.sciencedirect.com/science/article/pii/S0169136821006612#b0510 -> Data–driven prospectivity modelling of sediment–hosted Zn–Pb mineral systems and their critical raw materials [well worth reading]
- https://www.researchgate.net/publication/358956673_Towards_a_fully_data-driven_prospectivity_mapping_methodology_A_case_study_of_the_Southeastern_Churchill_Province_Quebec_and_Labrador
England
Geochemistry
Geology
- https://eprints.utas.edu.au/32368/ -> Machine-assisted modelling of lithology and metasomatism
Geophysics
- https://github.com/TomasNaprstek/Aeromagnetic_CNN - Aeromagnetic CNN
- Paper https://www.researchgate.net/publication/354772176_Convolution_Neural_Networks_Applied_to_the_Interpretation_of_Lineaments_in_Aeromagnetic_Data
- PhD -> New Methods for the Interpolation and Interpretation of Lineaments in Aeromagnetic Data
- Paper https://www.researchgate.net/publication/354772176_Convolution_Neural_Networks_Applied_to_the_Interpretation_of_Lineaments_in_Aeromagnetic_Data -> Convolution Neural Networks Applied to the Interpretation of Lineaments in Aeromagnetic Data
Geospatial Output - No Code
- https://geoscience.data.qld.gov.au/report/cr113697 -> NWMP Data-Driven Mineral Exploration And Geological Mapping [CSIRO too]
Journals
- https://www.sciencedirect.com/journal/artificial-intelligence-in-geosciences -> Artificial Intelligence in Geosciences
Papers
- Generally Not ML, or no Code/Data and sometimes no availability at all
- Eventually will separate out into things that have data packages or not like NSW Zone studies.
- However, if interested in an area you can often georeference a picture if nothing else as a rough guide.
- Generally these are not reproducible - a few like the NSW prospectivity zone studies and NWQMP are with some work.
- The occasional paper in this section may be listed above
New to File
General
- https://www.researchgate.net/publication/337650865_A_combinative_knowledge-driven_integration_method_for_integrating_geophysical_layers_with_geological_and_geochemical_datasets
- https://link.springer.com/article/10.1007/s11053-023-10237-w - A New Generation of Artificial Intelligence Algorithms for Mineral Prospectivity Mapping
- https://www.researchgate.net/publication/235443297_Addressing_challenges_with_exploration_datasets_to_generate_usable_mineral_potential_maps
- https://www.researchgate.net/publication/330077321_An_Improved_Data-Driven_Multiple_Criteria_Decision-Making_Procedure_for_Spatial_Modeling_of_Mineral_Prospectivity_Adaption_of_Prediction-Area_Plot_and_Logistic_Functions
- Artificial intelligence and machine learning to enhance critical mineral deposit discovery -> https://www.sciencedirect.com/science/article/pii/S2772883825000111?via%3Dihub
- Artificial intelligence for mineral exploration: A review and perspectives on future directions from data science -> https://www.sciencedirect.com/science/article/pii/S0012825224002691
- https://www.researchgate.net/project/Bayesian-Machine-Learning-for-Geological-Modeling-and-Geophysical-Segmentation
- https://www.researchgate.net/publication/229714681_Classifiers_for_Modeling_of_Mineral_Potential
- https://www.researchgate.net/publication/352251078_Data_Analysis_Methods_for_Prospectivity_Modelling_as_applied_to_Mineral_Exploration_Targeting_State-of-the-Art_and_Outlook
- https://www.researchgate.net/publication/267927728_Data-Driven_Evidential_Belief_Modeling_of_Mineral_Potential_Using_Few_Prospects_and_Evidence_with_Missing_Values
- https://www.linkedin.com/pulse/deep-learning-meets-downward-continuation-caldera-analytics/?trackingId=Ybkv3ukNI7ygH3irCHZdGw%3D%3D
- https://www.researchgate.net/publication/382560010_DINOv2_Rocks_Geological_Image_Analysis_Classification_Segmentation_and_Interpretability
- https://www.researchgate.net/publication/368489689_Discrimination_of_Pb-Zn_deposit_types_using_sphalerite_geochemistry_New_insights_from_machine_learning_algorithm
- Dual Random Fields and their Application to Mineral Potential Mapping -> https://arxiv.org/abs/2412.07488
- https://link.springer.com/article/10.1007/s11430-024-1309-9 -> Explainable artificial intelligence models for mineral prospectivity mapping
- https://www.researchgate.net/publication/229792860_From_Predictive_Mapping_of_Mineral_Prospectivity_to_Quantitative_Estimation_of_Number_of_Undiscovered_Prospects
- https://www.researchgate.net/publication/339997675_Fully_reversible_neural_networks_for_large-scale_surface_and_sub-surface_characterization_via_remote_sensing
- https://www.researchgate.net/publication/220164488_Geocomputation_of_mineral_exploration_targets
- https://www.researchgate.net/publication/272494576_Geological_knowledge_discovery_and_minerals_targeting_from_regolith_using_a_machine_learning_approach
- https://www.researchgate.net/publication/280013864_Geometric_average_of_spatial_evidence_data_layers_A_GIS-based_multi-criteria_decision-making_approach_to_mineral_prospectivity_mapping
- https://www.researchgate.net/publication/355467413_Harnessing_the_Power_of_Artificial_Intelligence_and_Machine_Learning_in_Mineral_Exploration-Opportunities_and_Cautionary_Notes
- https://www.researchgate.net/publication/335819474_Importance_of_spatial_predictor_variable_selection_in_machine_learning_applications_-Moving_from_data_reproduction_to_spatial_prediction
- https://www.researchgate.net/publication/337003268_Improved_supervised_classification_of_bedrock_in_areas_of_transported_overburden_Applying_domain_expertise_at_Kerkasha_Eritrea - Gazley/Hood
- https://www.researchgate.net/publication/360660467_Lithospheric_conductors_reveal_source_regions_of_convergent_margin_mineral_systems
- https://api.research-repository.uwa.edu.au/portalfiles/portal/5263287/Lysytsyn_Volodymyr_2015.pdf (PhD thesis) GIS-based epithermal copper prospectivity mapping of the Mt Isa Inlier, Australia: Implications for exploration targeting
- https://www.researchgate.net/publication/374972769_Knowledge_and_technology_transfer_in_and_beyond_mineral_exploration -> Knowledge and technology transfer in and beyond mineral exploration
- https://www.researchgate.net/publication/331946100_Machine_learning_for_data-driven_discovery_in_solid_Earth_geoscience
- https://theses.hal.science/tel-04107211/document - Machine Learning Approaches for Sub-surface Geological Heterogeneous Sources
- https://www.researchgate.net/publication/309715081_Magmato-hydrothermal_space_A_new_metric_for_geochemical_characterisation_of_metallic_ore_deposits - Magmato-hydrothermal space: A new metric for geochemical characterisation of metallic ore deposits
- https://www.researchgate.net/publication/220164234_Mapping_complexity_of_spatial_distribution_of_faults_using_fractal_and_multifractal_models_Vectoring_towards_exploration_targets
- https://www.researchgate.net/publication/220163838_Objective_selection_of_suitable_unit_cell_size_in_data-driven_modeling_of_mineral_prospectivity
- https://www.researchgate.net/publication/273500012_Prediction-area_P-A_plot_and_C-A_fractal_analysis_to_classify_and_evaluate_evidential_maps_for_mineral_prospectivity_modeling
- https://www.researchgate.net/publication/354925136_Soil-sample_geochemistry_normalised_by_class_membership_from_machine-learnt_clusters_of_satellite_and_geophysics_data [Gazley/Hood]
- https://link.springer.com/article/10.1007/s12665-024-11870-1 -> Quantification of the uncertainty of geoscientific maps relying on human sensory engagement
- https://www.researchgate.net/publication/235443294_The_effect_of_map-scale_on_geological_complexity
- https://www.researchgate.net/publication/235443305_The_effect_of_map_scale_on_geological_complexity_for_computer-aided_exploration_targeting
- https://link.springer.com/article/10.1007/s11053-024-10322-8 -> Workflow-Induced Uncertainty in Data-Driven Mineral Prospectivity Mapping
Mineral Prospectivity
Australia
- https://www.mdpi.com/2072-4292/15/16/4074 -> A Spatial Data-Driven Approach for Mineral Prospectivity Mapping
- https://www.researchgate.net/publication/253217016_Advanced_methodologies_for_the_analysis_of_databases_of_mineral_deposits_and_major_faults
- https://www.researchgate.net/publication/362260616_Assessing_the_impact_of_conceptual_mineral_systems_uncertainty_on_prospectivity_predictions
- https://www.researchgate.net/publication/352310314_Central_Lachlan_Mineral_Potential_Study
- https://meg.resourcesregulator.nsw.gov.au/sites/default/files/2024-05/EITH%202024%20Muller_Exploration_in_the_House_keynote.pdf -> Critical minerals – prospectivity mapping using generative AI
- https://www.tandfonline.com/doi/pdf/10.1080/22020586.2019.12073159?needAccess=true - > Integrating a Minerals Systems Approach with Machine Learning: A Case Study of ‘Modern Minerals Exploration’ in the Mt Woods Inlier – northern Gawler Craton, South Australia
- https://www.researchgate.net/publication/365697240_Mineral_potential_modelling_of_orogenic_gold_systems_in_the_Granites-Tanami_Orogen_Northern_Territory_Australia_A_multi-technique_approach
- https://link.springer.com/article/10.1007/s10596-026-10487-6 -> Sandstone-hosted uranium mineral prospectivity map based on Resnet 50 self-distillation
- https://publications.csiro.au/publications/publication/PIcsiro:EP2022-0483 -> Signatures of Key Mineral Systems in the Eastern Mount Isa Province, Queensland: New Perspectives from Data Analytics
- https://link.springer.com/article/10.1007/s11004-021-09989-z -> Stochastic Modelling of Mineral Exploration Targets
- https://www.researchgate.net/publication/276171631_Supervised_Neural_Network_Targeting_and_Classification_Analysis_of_Airborne_EM_Magnetic_and_Gamma-ray_Spectrometry_Data_for_Mineral_Exploration
- https://www.researchgate.net/publication/353058758_Using_Machine_Learning_to_Map_Western_Australian_Landscapes_for_Mineral_Exploration
- https://www.researchgate.net/publication/264535019_Weights-of-evidence_and_logistic_regression_modeling_of_magmatic_nickel_sulfide_prospectivity_in_the_Yilgarn_Craton_Western_Australia
- MineTRACE: An Evidence-Grounded Interactive Reasoning System for Mineral Prospectivity -> https://arxiv.org/abs/2609.02060v1
Argentina
- https://www.researchgate.net/publication/263542691_ANALYSIS_OF_SPATIAL_DISTRIBUTION_OF_EPITHERMAL_GOLD_DEPOSITS_IN_THE_DESEADO_MASSIF_SANTA_CRUZ_PROVINCE
- https://www.researchgate.net/publication/263542560_EVIDENTIAL_BELIEF_MAPPING_OF_EPITHERMAL_GOLD_POTENTIAL_IN_THE_DESEADO_MASSIF_SANTA_CRUZ_PROVINCE_ARGENTINA
- https://www.researchgate.net/publication/277940917_Porphyry_epithermal_and_orogenic_gold_prospectivity_of_Argentina
- https://www.researchgate.net/publication/269518805_Prospectivity_for_epithermal_gold-silver_deposits_in_the_Deseado_Massif_Argentina
- https://www.researchgate.net/publication/235443303_Prospectivity_mapping_for_multi-stage_epithermal_gold_mineralization_in_Argentina
Brazil
- https://www.researchgate.net/publication/367245252_Geochemical_multifractal_modeling_of_soil_and_stream_sediment_data_applied_to_gold_prospectivity_mapping_of_the_Pitangui_Greenstone_Belt_northwest_of_Quadrilatero_Ferrifero_Brazil
- https://www.researchgate.net/publication/381880769_How_do_non-deposit_sites_influence_the_performance_of_machine_learning-based_gold_prospectivity_mapping_A_study_case_in_the_Pitangui_Greenstone_Belt_Brazil
- https://www.researchsquare.com/article/rs-5066453/v1 -> Enhancing Lithium Exploration in the Borborema Province, Northeast Brazil: Integrating Airborne Geophysics, Low-Density Geochemistry, and Machine Learning Algorithms
- https://www.researchgate.net/publication/362263694_Machine_Learning_Methods_for_Quantifying_Uncertainty_in_Prospectivity_Mapping_of_Magmatic-Hydrothermal_Gold_Deposits_A_Case_Study_from_Juruena_Mineral_Province_Northern_Mato_Grosso_Brazil
- https://www.researchgate.net/publication/360055592_Predicting_mineralization_and_targeting_exploration_criteria_based_on_machine-learning_in_the_Serra_de_Jacobina_quartz-pebble-metaconglomerate_Au-U_deposits_Sao_Francisco_Craton_Brazil
Fuzzy
- https://www.researchgate.net/publication/272170968_A_Comparative_Analysis_of_Weights_of_Evidence_Evidential_Belief_Functions_and_Fuzzy_Logic_for_Mineral_Potential_Mapping_Using_Incomplete_Data_at_the_Scale_of_Investigation A Comparative Analysis of Weights of Evidence, Evidential Belief Functions, and Fuzzy Logic for Mineral Potential Mapping Using Incomplete Data at the Scale of Investigation
- https://www.researchgate.net/publication/360386350_Application_of_Fuzzy_Gamma_Operator_to_Generate_Mineral_Prospectivity_Mapping_for_Cu-Mo_Porphyry_Deposits_Case_Study_Kighal-Bourmolk_Area_Northwestern_Iran
- https://www.researchgate.net/publication/348823482_Combining_fuzzy_analytic_hierarchy_process_with_concentration-area_fractal_for_mineral_prospectivity_mapping_A_case_study_involving_Qinling_orogenic_belt_in_central_China
- https://tupa.gtk.fi/raportti/arkisto/m60_2003_1.pdf -> Conceptual Fuzzy Logic Prospectivity Analysis of the Kuusamo Area
- https://www.researchgate.net/publication/356508827_Geophysical-spatial_Data_Modeling_using_Fuzzy_Logic_Applied_to_Nova_Aurora_Iron_District_Northern_Minas_Gerais_State_Southeastern_Brazil
- https://www.researchgate.net/publication/356937528_Mineral_prospectivity_mapping_a_potential_technique_for_sustainable_mineral_exploration_and_mining_activities_-_a_case_study_using_the_copper_deposits_of_the_Tagmout_basin_Morocco
Cameroon
- https://www.nature.com/articles/s40494-025-02062-6 -> Unlocking Cameroon’s geomaterials heritage via 3D AI-driven intelligence and NLP-based resource analysis
Canada
- https://open.library.ubc.ca/soa/cIRcle/collections/ubctheses/24/items/1.0340340 -> Application of machine learning algorithms to mineral prospectivity mapping
- https://www.researchgate.net/publication/369599705_A_study_of_faults_in_the_Superior_province_of_Ontario_and_Quebec_using_the_random_forest_machine_learning_algorithm_spatial_relationship_to_gold_mines
- A balanced mineral prospectivity model of Canadian magmatic Ni (± Cu ± Co ± PGE) sulphide mineral systems using conditional variational autoencoders -> https://www.sciencedirect.com/science/article/pii/S0169136824004621
- https://link.springer.com/article/10.1007/s11053-025-10468-z -> Class Label Representativeness in Machine Learning-Based Mineral Prospectivity Mapping
- https://www.researchgate.net/publication/273176257_Data-_and_Knowledge_driven_mineral_prospectivity_maps_for_Canada's_North
- https://www.researchgate.net/publication/300153215_Data_mining_for_real_mining_A_robust_algorithm_for_prospectivity_mapping_with_uncertainties
- https://www.sciencedirect.com/science/article/pii/S1674987123002268 -> Development and application of feature engineered geological layers for ranking magmatic, volcanogenic, and orogenic system components in Archean greenstone belts
- https://eartharxiv.org/repository/view/8898/ -> Geoscientific Input Feature Selection for CNN-driven Mineral Prospectivity Mapping 365782501_Improving_Mineral_Prospectivity_Model_Generalization_An_Example_from_Orogenic_Gold_Mineralization_of_the_Sturgeon_Lake_Transect_Ontario_Canada
- https://qspace.library.queensu.ca/bitstream/handle/1974/28138/Cevik_Ilkay_S_202009_MASc.pdf?sequence=3&isAllowed=y -> MACHINE LEARNING ENHANCEMENTS FOR KNOWLEDGE DISCOVERY IN MINERAL EXPLORATION AND IMPROVED MINERAL RESOURCE CLASSIFICATION
- https://www.researchgate.net/publication/348983384_Mineral_prospectivity_mapping_using_a_VNet_convolutional_neural_network
- corporate link
- https://link.springer.com/article/10.1007/s11053-024-10451-0 -> Mineral Prospectivity Modeling of Graphite Deposits and Occurrences in Canada
- https://www.researchgate.net/publication/337167506_Orogenic_gold_prospectivity_mapping_using_machine_learning
- https://www.researchgate.net/publication/290509352_Precursors_predicted_by_artificial_neural_networks_for_mass_balance_calculations_Quantifying_hydrothermal_alteration_in_volcanic_rocks
- https://link.springer.com/article/10.1007/s11053-024-10438-x#Sec9 -> Pan-Canadian Predictive Modeling of Lithium–Cesium–Tantalum Pegmatites with Deep Learning and Natural Language Processing
- https://cmscontent.nrs.gov.bc.ca/geoscience/PublicationCatalogue/GeoFile/BCGS_GF2025-24.pdf -> Pan-Canadian mineral prospectivity workshop abstracts 2025
- https://link.springer.com/article/10.1007/s11053-024-10369-7 -> Predictive Modeling of Canadian Carbonatite-Hosted REE +/− Nb Deposits
- https://www.sciencedirect.com/science/article/pii/S0098300422001406 -> Preliminary geological mapping with convolution neural network using statistical data augmentation on a 3D model
- https://www.researchgate.net/publication/220164155_Support_vector_machine_A_tool_for_mapping_mineral_prospectivity
- PhD thesis -> https://zone.biblio.laurentian.ca/bitstream/10219/3736/1/PhD%20Thesis%20Maepa_20210603.%281%29.pdf -> Exploration targeting for gold deposits using spatial data analytics, machine learning and deep transfer learning in the Swayze and Matheson greenstone belts, Ontario, Canada
- https://data.geology.gov.yk.ca/Reference/95936#InfoTab -> Updates to the Yukon Geological Survey’s mineral potential mapping methodology
British Columbia
- http://www.geosciencebc.com/i/pdf/SummaryofActivities2015/SoA2015_Granek.pdf -> Advanced Geoscience Targeting via Focused Machine Learning Applied to the QUEST Project Dataset, British Columbia
- https://www.researchgate.net/publication/352046255_Study_of_the_Influence_of_Non-Deposit_Locations_in_Data-Driven_Mineral_Prospectivity_Mapping_A_Case_Study_on_the_Iskut_Project_in_Northwestern_British_Columbia_Canada
- https://www.researchgate.net/publication/343511849_Identification_of_intrusive_lithologies_in_volcanic_terrains_in_British_Columbia_by_machine_learning_using_Random_Forests_the_value_of_using_a_soft_classifier
- https://www.researchgate.net/publication/
Nunavut
- https://link.springer.com/article/10.1007/s11053-026-10699-8#Sec3 -> Bridging the Scale Gap: Regional Refinement of National Mineral Prospectivity Models for Nunavut, Canada
Ontario
- https://www.researchgate.net/publication/369048379_Mineral_Prospectivity_Mapping_Using_Machine_Learning_Techniques_for_Gold_Exploration_in_the_Larder_Lake_Area_Ontario_Canada
- https://www.researchgate.net/publication/348111963_Support_Vector_Machine_and_Artificial_Neural_Network_Modelling_of_Orogenic_Gold_Prospectivity_Mapping_in_the_Swayze_greenstone_belt_Ontario_Canada
Central Africa
- https://www.researchgate.net/publication/323452014_The_Utility_of_Machine_Learning_in_Identification_of_Key_Geophysical_and_Geochemical_Datasets_A_Case_Study_in_Lithological_Mapping_in_the_Central_African_Copper_Belt
- https://www.researchgate.net/publication/334436808_Lithological_Mapping_in_the_Central_African_Copper_Belt_using_Random_Forests_and_Clustering_Strategies_for_Optimised_Results
Chile
China
- https://www.researchgate.net/publication/374968979_3D_cooperative_inversion_of_airborne_magnetic_and_gravity_gradient_data_using_deep_learning_techniques - 3D cooperative inversion of airborne magnetic and gravity gradient data using deep learning techniques
- https://link.springer.com/article/10.1007/s11053-025-10593-9 -> 3D GCN–CNN Hybrid Model for 3D Mineral Prospectivity Modeling of Porphyry- and Skarn-Type Mineralization
- https://www.researchgate.net/publication/369919958_3D_mineral_exploration_Cu-Zn_targeting_with_multi-source_geoscience_datasets_in_the_Weilasituo-bairendaba_district_Inner_Mongolia_China
- https://www.researchgate.net/publication/350817136_3D_Mineral_Prospectivity_Mapping_Based_on_Deep_Metallogenic_Prediction_Theory_A_Case_Study_of_the_Lala_Copper_Mine_Sichuan_China
- https://www.researchgate.net/publication/336771580_3D_Mineral_Prospectivity_Mapping_with_Random_Forests_A_Case_Study_of_Tongling_Anhui_China
- https://www.sciencedirect.com/science/article/pii/S0169136823005772 -> 3D mineral prospectivity modeling in the Sanshandao goldfield, China using the convolutional neural network with attention mechanism
- https://www.sciencedirect.com/science/article/pii/S0009281924001144 -> 3D mineral prospectivity modeling using deep adaptation network transfer learning: A case study of the Xiadi
Truncated — view the full README on GitHub.
artificial-intelligence
copper
data
data-science
deep-learning
geochemistry
geology
geophysics
geoscience
lithology
machine-learning
mineral-exploration
minerals
modelling
nickel
nlp
prospectivity
rocks
spectral-unmixing
stratigraphy
Significant stargazers
Ghanshyam Thakkar
18 followers · starred May 2026
Mads Lorentzen
723 followers · starred Feb 2024
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List of resources for mineral exploration and machine learning, generally with useful code and examples.
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1,698 commits
updated Sep 26, 2026
README
mineral-exploration-machine-learning
This page lists resources for mineral exploration and machine learning, generally with useful code and examples. ML and Data Science is a huge field, these are resources I have found useful and/or interesting to me in practice. Links currently to a fork of a repository are because I have changed something to use and put in a list for reference. Resources are also given for data analysis, transformation and visualisation as that is most of the work.
Suggestions welcome: open a discussion, issue or pull request.
Table of Contents
- Prospectivity
- Geology
- Natural Language Processing
- Remote Sensing
- Data Quality
- Community
- Cloud providers
- Domains
- Overview
- Web Services
- Data Portals
- Tools
- Ontologies
- Books
- Datasets
- Papers
- Other
- General Interest
Map
- Map of Github
- DeepWiki -> automagic wiki style analysis of a repo via llm
Frameworks
-
- Geo-Wavelets
- ML-Preprocessing
- Landshark -> Large-scale spatial inference with tensorflow
- GIS ML Workflow
-
EIS Toolkit -> Python library for mineral prospectivity mapping from EIS Horizon EU Project
-
PySpatialML -> Library that facilitates prediction and handling for raster machine learning automatically to geotiff, etc.
-
- competition info
- uncharted T1 -> Automated feature extraction and georeferencing of geologic maps
- paper -> Extracting data from maps: Lessons learned from the artificial intelligence for critical mineral assessment competition
- training data
- QueryPlot - Generating mineral evidence maps from geological queries
- paper - Generating mineral evidence maps from geological queriesGenerating mineral evidence maps from geological queries
-
TorchGeo -> Pytorch library for remote sensing style models
-
terratorch -> Flexible fine-tuning framework for Geospatial Foundation Models
-
torch-harmonics -> Differentiable signal processing on the sphere for PyTorch
-
Geo Deep Learning -> Simple deep learning framework based on RGB
-
ExPloRA -> ExPLoRA: Parameter-Efficient Extended Pre-training to Adapt Vision Transformers under Domain Shifts
-
[paper] -> https://www.sciencedirect.com/science/article/pii/S0169136825001519?via%3Dihub -> Clustering in geo-data science: Navigating uncertainty to select the most reliable method
-
GeoStat Framework -> Group of repositories with kriging and other
-
CoreJepa - LeJea for Remote Sensing
-
Senseiver -> Development of the Senseiver for efficient field reconstruction from sparse observations
R
- CAST -> Caret Applications for Spatio-Temporal models
- geodl -> semantic segmentation of geospatial data using convolutional neural network-based deep learning
Pipelines
- geotargets -> Extension of targets to terra and stars
Prospectivity
World
- Porphyry prospectivity global -> Spatio-temporal global mapping
- Spatiotemporal-Data-Mining-of-Sediment-Hosted-Deposits-Subduction-Craton-Distance Public
Oceania
Australia
- Iron oxide copper-gold mineral potential maps
- [Lateritic Ni-Co prospectivity modeling in eastern Australia using an enhanced generative adversarial network and positive-unlabeled bagging] -> (https://zenodo.org/records/14037494)
- Machine learning for geological mapping : algorithms and applications -> PhD thesis with code and data
- minpot-toolkit -> Example of Hoggard et al Lab Boundary analysis with Sedimentary copper
- MPM-WofE -> Mineral Potential Mapping - Weights of Evidence
- Porphyry Copper Spatio-Temporal Exploration
- Prospectivity Mapping of Ni-Co Laterites
- Transform 2022 Tutorial -> Random forest example
- Tin-Tungsten
Explorer Challenge
- Explorer Challenge -> OZ Minerals run competition with Data Science introduction
South Australia
- DEEP-SEAM -> An explainable semi-supervised deep learning framework for mineral prospectivity mapping: DEEP-SEAM v1.0
- Gawler_MPM -> Cobalt, Chromium, Nickel
- Geophysical Data Clustering in the Gawler Craton
- [Zenodo Data](Automated detection of mineralization-related craton structures using geophysical data and unsupervised machine learning)
Explore SA - South Australian Department of Energy and Mining Competition
- Winners -> SARIG data information
- Caldera -> Caldera Analytics analysis
- IncertoData
- Butterworth and Barnett -> Butterworth and Barnett entry
- Data Driven Mineralisation Mapping
Papua New Guinea
North America
Canada
-
Generative Neural Network for Mineral Prospectivity with Uncertainty Quantification
- paper -> A generative neural network approach to uncertainty and risk-return analysis in mineral prospectivity modelling
-
Transfer Prospectivity Learnnig
- paper -> Porphyry-type mineral prospectivity mapping with imbalanced data via prior geological transfer learning
-
Probabilistic mineral prospectivity modelling with TAGI, BNN, and MC dropout
- paper -> Tractable approximate Gaussian inference for interpretable mineral prospectivity modelling
South America
Brazil
- Mapa Preditivo -> Brazil student project
- Course_Predictive_Mapping_USP -> Course Project
- Mineral Prospectivity Mapping
- 3D Weights of Evidence
- Geological Complexity SMOTE -> includes fractal analysis
- MPM Jurena -> Jurena Mineral Province
Colombia
- mapo_prospectivo -> Machine Learning-Based Prospective Modeling for Alluvial Gold Mining: A Study Area in Colombia
China
- MPM by ensemble learning -> Qingchengzi Pb-Zn-Ag-Au polymetallic district China
- Mineral Prospectivity Prediction Convolutional Neural Networks -> CNN Example with a few architectures [a paper by this author uses GoogleNet]
- Mineral Prospectivity Prediction by CSAE
- Mineral Prospectivity Prediction by CAE
India
- MPM-Gold -> gold mineral prospectivity mapping using multiple machine learning models (FKELM and WGAN others are baselines)
- paper -> A Hybrid Framework for Detecting Gold Mineralization Zones in G.R. Halli, Western Dharwar Craton, Karnataka, India
- mineral_mapping -> Mineral Prospectivity Mapping — Deep Multi-Modal Fusion
- paper -> Self-Supervised Multi-modal Fusion for Mineral Prospectivity Mapping Using Vision Transformers Integrating Multi-scale Geological Maps with Aeromagnetic Data [UNSEEN]
Norway
Africa
Namibia
- data_and_code_of_narr -> Uranium Mineral Prospectivity Modeling – Husab Deposit, Namibia
- paper - > Integrating Cost-Sensitive Ensemble Learning and Geoscience Big Data for Uranium Prospectivity Mapping in the Husab Uranium Deposit, Namibia
Sudan
Europe
Russia
- Korznhinskii-Net -> Physics-Informed Neural Network for Sub-Surface Mineral Prospectivity Modelling
Uncertainty
- MPM-uncertainty -> Mineral Potential Mapping uncertainty quantification
Geology
- autoencoders_remotesensing
- paper -> Remote sensing framework for geological mapping via stacked autoencoders and clustering
- Bedrock-vs-sediment
- Brazil Predictive Geology Maps -> Work by the Brazil geological survey
- depth to bedrock(Evaluating spatially enabled machine learning approaches for depth to bedrock mapping)
- DL-RMD -> A geophysically constrained electromagnetic resistivity model database for deep learning applications
- Earthscape -> EarthScape: A Multimodal Dataset for Surficial Geologic Mapping and Earth Surface Analysis
- Geological Image Classifier
- geological map explanatory power
- paper -> Quantifying the limited explanatory power of geological maps
- Geological mapping in the age of artificial intelligence -> Geological mapping in the age of artificial intelligence
- GeolNR -> Geological Implicit Neural Representation for three-dimensional structural geological modelling applications
- Geological Section Generated based on per-pixel linked lists
- Geoscience Transformers for Predictive Mapping of Critical Minerals
- paper -> Large Language Models and Geoscience Transformers for Predictive Mapping of Canadian Critical Minerals
- mapeamento_litologico_preditivo
- Mapping Global Lithospheric Mantle Pressure-Temperature Conditions by Machine-Learning Thermobarometry
- MGALNet - Multisource Remote Sensing Interpretation of Geological Lithology via Multigranularity Adaptive Learning
- paper [UNSEEN]
- Non Stationarity Mitigation Transformer
- Neural Rock Typing
- PEACE -> Empowering Geologic Map Holistic Understanding with MLLMs) *paper -> GeoMap-Bench
- SimCLR Core Disturbance
- Uncertainty Driven Geoogical Mapping
- West Musgraves Geology Uncertainty -> Uncertainty map prediction with entropy analysis: highly useful
Training Data
- Into the Noddyverse -> a massive data store of 3D geological models for machine learning and inversion applications
- Geo-Bench
Lithology
-
litho2strat -> Estimate stratigraphy from drillhole logs using Loop techniques
- [paper](Automated stratigraphic interpretation from drillhole lithological descriptions with uncertainty quantification: litho2strat 1.0 -> Automated stratigraphic interpretation from drillhole lithological descriptions with uncertainty quantification: litho2strat 1.0
-
dawson-facies-2022 -> Transfer learning for geological images
- paper - > Impact of dataset size and convolutional neural network architecture on transfer learning for carbonate rock classification
-
Litho-Classification -> Volcanic facies Classification using Random Forest
-
Multi-view ensemble machine learning approach for 3D modeling using geological and geophysical data
-
Petromind -> PetroMind: A multimodal petrographic model for rock image classification and lithological description generation
-
SCB-Net -> Lithological mapping using Spatially Constrained Bayesian Network
Mineralogy
- [hywiz][(https://github.com/samthiele/hywiz/tree/v0.15)] - Predicting Mineralogy with Hyperspectral Data: A Benchmark Dataset and Machine Learning Framework to Enable Hyperspectral Geometallurgy
Drilling
- Heterogenous Drilling - Nicta/Data61 project report for looking at modelling using drillholes that don't go far enough
- corel -> smart computer vision model that identifies facies and performs rock typing on core images
- baselode -> processing, managing, and visualizing geological and mining data
Paleovalleys
Stratigraphy
- Predicatops -> Stratigraphic predication designed for hydrocarbon
- stratal-geometries -> Predicting Stratigraphic Geometries from Subsurface Well Logs
Structural
- APGS -> Structural geology package
- Assessing plate reconstruction models using plate driving force consistency tests -> Jupyter notebook and data
- CIG-Bench ->
- Curlew -> Spatio-temporal implicit geological modelling with neural fields in python
- gplately
- [structural geology cookbook](https://github.com/gcmatos/structural-geology-cookbook]
- GEOMAPLEARN 1.0 -> Detecting geological structures from geological maps with machine learning
- [GemPy Model Mexico Basin(https://github.com/Nauj29/GemPy_Model_Mexico_Basin)
- Lineament Learning -> Fault prediction and mapping via potential field deep learning and clustering Update
- Lineament Learning -> original version
- Lineament DEM Extractor -> Topographic lineaments extraction in digital elevation model
- LitMod3D -> 3D integrated geophysical-petrological interactive modelling of the lithosphere and underlying upper mantle
- Machine Learning Based Mohometry -> Paleo Crustal Thickness Estimation and Evolution Visualization
- others
- StructuralGeo
Simulation
- GebPy -> generation of geological data for rocks and minerals
- OpenGeoSys -> development of numerical methods for the simulation of thermo-hydro-mechanical-chemical (THMC) processes in porous and fractured media
- Stratigraphics.jl -> Creating 3D stratigraphy from 2D geostatistical processes
- SubsurfaceGen -> SubsurfaceGen: Procedural Generation of Field-Scale Earth Models and Seismic Data
Geodynamics
- Badlands -> Basin and Landscape Dynamics
- CitcomS -> Finite element code designed to solve compressible thermochemical convection problems relevant to Earth's mantle.
- LaMEM -> simulate various thermo-mechanical geodynamical processes such as mantle-lithosphere interaction
- PTatin3D -> studying long time-scale processes relevant to geodynamics [original motivation :toolkit capable of studying high-resolution, three-dimensional models of lithospheric deformation]
- underworld -> Finite element modelling of geodynamics
- Discern detachment of the subducting slab in an ancient subduction zone using machine learning
- ThermoPlates -> integrate thermochronology data with plate tectonic, mantle dynamics, and paleoclimate model outputs for interpreting long-term exhumation histories
- HalTracks -> AI-based approach for constraining the thermal evolution of Earth's upper crust through automated digital fission-track analysis
- Paleocoordinates Calculator -> A user-friendly online tool for paleocoordinate calculation and 3D visualization
Geophysics
General
- Feature fusion-enhanced t-SNE image atlas for geophysical features discovery
- Geophysics Blakey
- Fortran version -> ports of Blakely geophysics algorithms
- Gridmerger -> Merge many overlapping grids with polynomial fitting and blending
Structural
- Structural Geophysics Tools -> QGIS aimed
Foundation Models
- Cross-Domain Foundation Model Adaptation: Pioneering Computer Vision Models for Geophysical Data Analysis -> some of code to come
- Seismic Foundation Model -> "a new generation deep learning model in geophysics"
- Geological Everything Model -> Geological Everything Model 3D: A Physics-informed Promptable Foundation Model for Unified and Zero-Shot Subsurface Understanding
- SeismicFoundationModel-01-2025 -> development of a multimodal AI model combining seismic waveforms and geophysical images, based on two foundation models: Seismic Foundation Model (SFM) and SeisLM
- NCS-Model -> The NCS-Model: A seismic foundation model trained on the Norwegian repository of public data
Australia
Regolith Depth
AEM Interpolation
Electromagnetics
- AEM-Assist
- TEM-NLnet: A Deep Denoising Network for Transient Electromagnetic Signal with Noise Learning
- OpenEM -> Large-scale multi-structural 3D datasets for electromagnetic methods
- Geoelectrical3D -> Model generation tool for OpenEM
- OpenEM Dataset
Inversion
- Machine Learning and Geophysical Inversion -> reconstruct paper from Y. Kim and N. Nakata (The Leading Edge, Volume 37, Issue 12, Dec 2018)
- Deep Learning for Magnetotelluric Data Inversion
- GP-Cubed -> Gaussian Processes for GeoPhysics and Geology Playground
- article -> Using NeuralOperator for Geophysical Surrogate Modeling
Euler deconvolution
- https://legacy.fatiando.org/gallery/gravmag/euler_moving_window.html
- Harmonica version eventually? https://hackmd.io/@fatiando/development-calls-2024?utm_source=preview-mode&utm_medium=rec
- https://notebook.community/joferkington/tutorials/1404_Euler_deconvolution/euler-deconvolution-examples
- https://github.com/ffigura/Euler-deconvolution-plateau
Gravity
- [Recovering 3D Basement Relief Using Gravity Data Through Convolutional Neural Networks]
- Stable downward continuation of the gravity potential field implemented using deep learning
- Fast imaging for the 3D density structures by machine learning approach
- Gravity Geophysics -> Julia package for 3D gravity forward modeling and analysis with UBC-GIF format support
Magnetics
Seismic
- StorSeismic -> An approach to pre-train a neural network to store seismic data features
- PINNtomo -> Seismic tomography using physics-informed neural networks
Seismology
- obspy -> framework for processing seismological
Petrophysics
- ML4Rocks -> Some intro work
Seismic
- torchseis -> 3D Deep Learning Framework for Seismic and Subsurface Modeling
- paper -> Memory-efficient full-volume inference for large-scale 3D dense prediction without performance degradation
Tectonics
- Discern detachment of the subducting slab in an ancient subduction zone using machine learning -> Notebook
- Colab notebook -> Google Colab input file for benchmark results of ML-SEISMIC publication
- Unleashing the power of Machine Learning in Geodynamics
- Physics-Infomred Neural Networks for fault slip simulation with rate and state friction law
- simulation and frictional paramter estimation on slow slip events
- paper -> Physics-Informed Deep Learning for Estimating the Spatial Distribution of Frictional Parameters in Slow Slip Regions
Geochemistry
- CODAinPractice -> Compositional Data Analysis in Practice
- GeoCoDa
- DAN-GRF -> Deep autoencoder network connected to geographical random forest for spatially aware geochemical anomaly detection
- Dash Geochemical Prospection -> Web-app classifying stream sediments with K-means
- DZ-ML -> Classifying Detrital Zircon U-Pb Age Distributions using Automated Machine Learning
- Enhancing machine learning thermobarometry for clinopyroxene-bearing magmas
- paper -> Enhancing-ML-Thermobarometry-for-Clinopyroxene-Bearing-Magmas
- Zircon fertility models -> Decision trees to predict fertile zircon from porphyry copper deposits
- Machine Learning Zircon Trace Element Tool to Predict Porphyry Deposit Type and Resource Size
- geology_class0 -> A machine learning approach to discrimination of igneous rocks and ore deposits by zircon trace elements
- geochemical anomaly detection -> Multivariate Outlier Detection in Geochemical Datasets
- GeochemPrint
- Global geochemistry
- ICBMS Jacobina -> Analysis of pyrite chemistry from a gold deposit
- indicator_minerals -> Can PCA can tell the story of the origin of tourmaline?
- Interpretation of Trace Element Chemistry of Zircons from Bor and Cukaru Peki: Conventional Approach and Random Forest Classification
- Journal of Geochemical Exploration - Manifold
- LewisML -> Analysis of the Lewis Formation
- MICA -> Chemical composition, in Shiny
- Multivariate statistical analysis and bespoke deviation network modeling for geochemical anomaly detection of rare earth elements
- Prospectivity mapping of rare earth elements through geochemical data analysis -> Prospectivity mapping of rare earth elements through geochemical data analysis
- QMineral Modeller -> Mineral Chemistry virtual assistant from the Brazilian geological survey
- Recognizing-geochemical-spatial-patterns-using-DCN-guided-with-geological-knowledge
- Secular Changes in the Occurrence of Subduction During the Archean -> Zenodo code archive
- [paper] https://www.researchgate.net/publication/380289934_Secular_Changes_in_the_Occurrence_of_Subduction_During_the_ArcheanA machine learning approach to discrimination of igneous rocks and ore deposits by zircon trace elements
Kriging
Natural Language Processing
Frameworks
- spacy -> NLP Library
Text Extraction
- Automated Extraction of Mining Company Drillhole Results
- BERT CWS
- Geocorpus
- Geological-table-analysis -> Understanding table content for mineral exploration reports using deep learning and natural language processing
- NASA Concept Tagging -> Keyword prediction
- API -> API web service
- Presentation
- Petrography Report Data Extractor
- Portuguese BERT
- SA Exploration Topic Modelling -> Topic modelling from exploration reports
- Stratigraph
- Text Extraction -> Text extraction from documents : paid ML as a service, but works very well, can extract tables efficiently
- Large Scale -> Large scale version
PDF handling
- pdfminer
- pdfplumber -> pdf table extraction
- pikepdf -> pdf image extraction
- PyMuPDF -> pdf parser
Tables
- camelot -> pdf text table extraction
- layoutparser -> deep learning layhout detection
- messytables -> find headers and datatypes
Heuristic Aids
Java
Python
- GIS Metadata parsing -> extract data from xml etc.
R
- crssuggest -> coordinate reference system suggerstions
- tidyxl
OCR
- Apache Tika -> OCR, content analysis
- Parsee PDF Reader - PDF Reading/OCR
- Tesseract -> OCR
Word Embeddings
- Geoscience Language Models -> processing code pipeline and models [Glove, BERT) retrained on geoscience documents from Canada
- GeoVec -> Word embedding model trained on 300K geoscience papers
- GeoVec Model -> OSF Storage for GeoVec model
- paper
- GeoVecto Litho -> 3D Models interpolation from word embeddings
- GeoVEC Playground -> Working with the Padarian GeoVec glove word embeddings model
- GloVe -> Standford library for producing word embeddings
- gloVE python glove, glove-python highly problematic on windows: here Binary version for Windows installs:
- Mittens -> In memory vectorized glove implementation
- PetroNLP -> Organisation
- PetroVec -> Portuguese Word Embeddings for the Oil and Gas Industry: development and evaluation
- Petro KGraph -> Ontological work with petrovec
- paper -> [UNSEEN]
- wordembeddingsOG -> Portuguese Oil and Gas word embeddings
- Portuguese Word Embeddings
- Spanish Word Embeddings
- Multilingual alignment
- Application-of-natural-language-processing-for-finding-semantic-relation-of-elusive-natural-resource
- paper -> Geological Inference from Textual Data using Word Embeddings
Named Entity Recognition
- Geo NER Model -> Named entity recognition
- GeoBERT - hugging face repo for model in
- GLiNER -> Few shot deep learning NER
- GLiNKER -> Entity linking framework combining NER, multi-layer database search, and neural entity disambiguation.
- INDUS -> NASA science tailored LLM suite
- How to find key geoscience terms in text without mastering NLP using Amazon Comprehend
- OzRock - OzRock: A labeled dataset for entity recognition in geological (mineral exploration) domain
- EntityTextMatchProject
- paper -> A deep learning matching method for geological spatial entities and descriptive texts
Ontology
- GAKG -> A Multimodal Geoscience Academic Knowledge Graph (Chinese)
- GeoERE-Net -> Understanding geological reports based on knowledge graphs using a deep learning approach
- GeoFault Ontology
- geosim -> Semantically Triggered Qualitative Simulation of a Geological Process
- [https://www.duo.uio.no/handle/10852/111467](Knowledge Modelling for Digital Geology) -> PhD thesis with two papers
- SIRIUS GeoAnnotator -> Website example from above
- Ontology CWS
- Stratigraphic Knowledge Graph (StraKG)
Spelling
- pyenchant -> spelling checker
Large Language Models
- GeoChat -> grounded Large Vision Language Model for Remote Sensing
- GeoGalactica -> A Larger foundation language model in Geoscience
- GeoLLM -> Qwen3.5-FineTune on WA Exploration Reports
- Geo-MAG -> Knowledge Graph-Enhanced Multimodal Retrieval-Augmented Generation Framework for Geological Map Understanding
- GeoMinLM -> GeoMinLM: A Large Language Model in Geology and Mineral Survey in Yunnan Province
- JiuZhou -> Open Foundation Language Models for Geoscience
- LAGDAL -> LLM Matching geology map information to location experiments
- Large Language Model for Geoscience
- MetalGPT -> built on Qwen/Qwen3-32B and incorporates both continual pre-training and supervised fine-tuning on domain-specific data from mining and metallurgy (Norilsk)
- OmniGeo -> Towards a Multimodal Large Language Models for Geospatial Artificial Intelligence
- GeoAssist ->
Chatbots
- GeoGPT -> Deep Time Digital Earth Research Group from China project
- GeoGPT -> Deep Time Digital Earth Research Group from China project
- GeoGPT-Research-Project
Cross-Section
- GeoSirr -> Translate free-form geological narratives into structured, coordinate-based cross-section geometries
- GeoSIRR: Geological Section Interpretation, Reconstruction & Refinement -> Zenodo Code
- paper -> GeoSIRR 1.0: Conversational Geological Cross-Section Modeling Using Large Language Models
Agents
Remote Sensing
- AiTLAS -> an open-source benchmark suite for evaluating state-of-the-art deep learning approaches for image classification in Earth Observation
- CIMAE -> CIMAE - Channel Independent Masked Autoencoder
- fork -> to give it the name for reference
- [Self-Supervised Representation Learning for Remote Sensing] -> Master's thesis includes the above and comparisons of several models
- CNN Sentinel -> Overview about land-use classification from satellite data with CNNs based on an open dataset
- Core-JEPA: LeJEPA for Earth Observation
- DEA notebooks -> Scalable machine learning example but lots of useful things here
- deep_learning_alteration_zones
- DS_UNet -> Unet fusing Sentinel-1 Synthetic Aperture Radar (SAR) and Sentinel-2 Multispectral Imager
- EASI cookbook notebooks -> CSIRO Earth Analytics platform introductions for ODC style analysis
- FSDFirner -> FSDFormer: A Frequency-Selected Differential Fusion Transformer for Remote Sensing Image Spatiotemporal Fusion
- GeoAI -> Artificial intelligence and geospatial intelligence - remote sensing
- GeoTorchAI -> GeoTorchAI: A Spatiotemporal Deep Learning Framework
- GHFMP -> Gradual Fusion Framework of Hyperspectral, Multispectral, and Panchromatic Images Using a Novel Spatial–Spectral Cross-Fusion Network
- Multi Pretext Masked Autoencoder (MP-MAE)
- data
- SamGIS -> Segment Anything applied to GIS
- EarthFoundationModels -> On the foundations of Earth foundation models
- paper -> On the foundations of Earth foundation models
- PCP -> Prompt-Based Cartographic-Level Polygonal Vector Extraction Framework for Remote Sensing Images
- [pytorcheo](https://github.com/earthpulse/pytorchEO -> Deep Learning for Earth Observation applications and research
- pytorch cloud geotiff optimization
- paper -> Optimizing Cloud-to-GPU Throughput for Deep Learning With Earth Observation Data
- SatMAE++ -> Rethinking Transformers Pre-training for Multi-Spectral Satellite Imagery
- grid-mae -> Investigate using multiscale grids in a Vision Transformer Masked Autoencoder
- SpecPool-Former -> Research on hyperspectral remote sensing alteration mineral mapping using an improved ViT model
- ScaleMae
- segment-geospatial -> Segment anything for geospatial uses
- U Barn
- earthnets
- Segmentation Gym -> Gym is designed to be a "one stop shop" for image segmentation on "N-D" - any number of coincident
- SynFSNet -> SynFSNet AFSIFormer: Adaptive Frequency–Spatial Interaction Attention Mechanism for Aerial Image Semantic Segmentation
- paper bands in a multispectral image
- awesome mining band ratio collection -> collection of simple band ratio uses for highlight various minerals
Foundation Models
- awesome remote sensing foundation models
- ChatEarthNet
- Zenodo
- [paper] -> a global-scale image–text dataset empowering vision–language geo-foundation models
- Clay -> An open source AI model and interface for Earth
- CROMA -> Remote Sensing Representations with Contrastive Radar-Optical Masked Autoencoders
- PAPER
- [GeoDINO]A Vision Foundation Model for Earth Observation Leveraging DINO Architecture and Sentinel-2 Multi-Spectral Data
- IBM-NASA-GEOSPATIAL Prithvi
- Image segmentation by foundation model finetuning -> For Prithvi
- AM-RADIO: Agglomerative Vision Foundation Model
- nasa-ibm-ai4science/NASA-IBM-Lunar-Foundation-Model -> nasa-ibm-ai4science/NASA-IBM-Lunar-Foundation-Model
- paper -> - Reduce All Domains Into One
- RemoteCLIP -> A Vision Language Foundation Model for Remote Sensing
- SpectralGPT
- zenodo) -> remote sensing foundation model customized for spectral data
- paper -> Unseen
- TerraFM -> A Scalable Foundation Model for Unified Multisensor Earth Observation
- [Terramind] (https://github.com/IBM/terramind) -> any-to-any generative foundation model for Earth Observation
- paper -> Terramind paper
- Scaling Remote Sensing Foundation Models -> paper
Processing
- ASTER Conversion -> Conversion from ASTER hd5 to geotiff NASA github
- HLS Data Resources -> Harmonized Landsat Sentinel wrangling
- sarsen -> xarray based SAR image processing and correction
- openEO -> openEO develops an open API to connect R, Python, JavaScript and other clients to EO cloud back-ends
Spectral Unmixing
- Conventional-to-Transformer-for-Hyperspectral-Image-Classification-Survey-2024
- Hyperspectral Deep Learning Review
- Hyperspectral Autoencoders
- Deeplearn HSI
- 3DCAE-hyperspectral-classification
- DeHIC
- Rev-Net
- paper -> A Reversible Generative Network for Hyperspectral Unmixing With Spectral Variability
- Pysptools -> also has useful heuristic algorithms
- Spectral Python
- Spectral Dataset RockSL -> Open spectral dataset
- Unmixing
- Unmamba -> Cascaded Spatial–Spectral Mamba for Blind Hyperspectral Unmixing
A Joint Multi-Scale Graph Attention and Classify-Driven Autoencoder Framework for Hyperspectral Unmixing
Hyperspectral
- CasFormer: Cascaded Transformers for Fusion-aware Computational Hyperspectral Imaging
- Spectral Normalization for Keras
- S^2HM^2 -> S2HM2: A Spectral-Spatial Hierarchical Masked Modeling Framework for Self-Supervised Feature Learning and Classification of Large-Scale Hyperspectral Image
Visualisation
- Deep Colormap Extraction from Visualizations
- Semantic Segmentation for Extracting Historic Surface Mining Disturbance from Topographic Maps -> Example is for coal mines
- International Chronostratigraphic Color Codes -> RGB codes and others in spreadsheet and other formats
- LithClass -> USGS version of lithology color codes
- color version
- SeisWiz -> Lightweight python SEG-Y viewer
Texture
Simulation
- Intelligent Prospector -> Sequential data acquisition planning
- Zenodo
Geometry
- Deep Angle -> Fast calculation of contact angles in tomography images using deep learning
Other
- Network Analysis of Mineralogical Systems
- Data -> Data from paper here
- GeospanNN
- paper -> Neural Networks for Geospatial Data
- Geoanalytics and machine learning
- Machine Learning Subsurface
- ML Geoscience
- Be a Geoscience Detective
- Earth ML -> Some basic tutorials in PyData approaches
- GeoMLA -> Machine Learning algorithms for spatial and spatiotemporal data
- open-geospatial -> Install multiple common packages at once
Platforms
Guides
- Geospatial CLI - List of geospatial command line tools
- Satellite Image Deep Learning
- Earth Observation
- Earth Artificial Intelligence
- Open Source GIS -> Comprehensive overview of the ecosystem
Data Quality
- Geoscience Data Quality for Machine Learning -> Geoscience Data Quality for Machine Learning Package
- Australian Gravity Data -> Overview and analysis of gravity station data
- Geodiff -> Comparison of vector data
- Redflag -> Analysis of data and an overview to detect problems
Machine Learning
- CuML -> CUDA accelerated
- Dask-ml -> Distributed versions of some common ML algorithms
- geospatial-rf -> Functions and wrappers to assist with random forest applications in a spatial context
- Geospatial-ml -> Install multiple common packages at once
Latent Space
- Nested Fusion
- paper -> Nested Fusion: Dimensionality Reduction and Latent Structure Analysis of Multi-Scale Nested Data for M2020 PIXL RGBU and XRF Data
Metrics
- scores -> Verifying and evaluating models and predictions with xarray
Probabilistic
- NG Boost -> probabilistic regression
- Probabilistic ML
- Bagging PU with BO -> Positive Unlabeled Bagging with Bayesian Optimisation
Spatial
- Spatial-Random-Forest
- paper -> Beyond random forest: how spatial bagging and spatial random forest dominate for subsurface applications?
Clustering
Self Organising Maps
- GisSOM -> Geospatial centred Self Organising Maps from Finland Geological Survey
- paper -> example of GisSOM example
- SimpSOM -> Self Organising Maps
GPU Accelerated
- GPU_PROCLUS -> gpu accelerated kmediods variant on subspaces
- GPU_PROCLUS -> Windows 11 / MVCC version
Self Organising Maps
- TorchSOM -> Self Organising Maps in Torch
- aweSOM -> Accelerated Self-organizing Map (SOM) and Statistically Combined Ensemble (SCE)
Other
Bayesian
- Bayseg -> Spatial segmentation
Explainability
- InterpretML -> Interpreting models of tabular data
- InterpretML -> Community addition
Deep Learning
- Deep Colormap Extraction -> Trying to extract a data scale from pictures
- Extract and Classify Images from Geoscience Documents
Data
- Xbatcher -> Xarray based data reading for deep learning
- zen3geo -> Xbatcher style data science with pytorch
Explainability
- Shap Values
- Weight Watcher -> Analyse how well networks are trained
- weightwatcher.ai
- weightwatcher-ai.com -> Professional web version
Self-supervised learning
- Self Supervised -> Pytorch lightning implementations of multiple algorithms
- Simclr
- Awesome self-supervised learning -> Curated list
Hyperparameters
Coding Environments
Community
- Software Underground - Community of people interested in exploring the intersection of the subsurface and code
- Chat Signup - SWUNG community chat signup
- Mattermost- Community chat service
- Old Slack Channel(deprecated, see mattermost above)
- Geoscience Open Source Tie-In
- Videos
- Awesome Open Geoscience[note Oil and Gas Biased]
- Transform 2021 Hacking Examples
- Segysak 2021 Tutorial
- T21 Seismic Notebook
- Practical Seismic with Python
- Transform 2021 Simpeg
- Pangeo
- Digital Earth Australia
- Open Source Geospatial Foundation
- OSGeoLive -> Bootable DVD/USB with lots of open source geospatial software
- ASEG -> videos from Australia Society of Exploration Geoscientists
- AI for Geological Modelling and Mapping -> videos from the conference day
- conference
Cloud Providers
AWS
- ec2 Spot Labs -> Making automatically working sith Spot instances easier
- Sagemaker Geospatial ML
- Sagemaker -> ML Managed Service
Batch
- Shepard -> Automated cloud formation setup of AWS Batch Pipelines: this is great
Packages
- Mlmax - Start fast library
- Smallmatter
- Pyutil
General
- Deep Learning Containers
- Loguru -> Logging library
- AWS GDAL Robot -> Lambda and batch processing of geotiffs
- Serverless Seismic Processing
- Lithops -> multi-cloud distributed computing framework
Overviews
Domains
Web Services
If listed it is assumed they are generally data, if just pictures like WMS it will say so.
World
- Critical Minerals and Deposits
- PANGAEA -> Data Publisher for Earth & Environmental Science
Australia
Geology
- AUSLAMP - > Tennant Creek - MtIsa
- Field Geology
- Deep Lithosphere -> Deep Lithospheric Mineral Potential
- Geochronology -> Geochronology
- Geological Provinces
- WMS -> WMS picture
- EGGS -> Estimates of Geological and Geophysical Surfaces
- Chronostratigraphic Surfaces -> 3D Chronostratigraphic Model of Australia
- Proterozoic Alkaline Rocks - Proterozoic Alkaline Rocks Dataset WFS {also has WMS}
- Cenozoic
- Mesozoic
- Paleozoic
- Archaean
- Stratigraphy -> Stratigraphic Units
Geophysics
- Geophysics Surveys
- Seismic Surveys -> Onshore seismic surveys
- Magnetotelluric -> Northern Australia AUSLAMP Stations
Other
- Ni-Cu-PEGE -> Intrusion hosted Nickel Copper PGE Deposits
- EFTF Area -> Exploring for the future areas
- Temperature -> Interpreted temperature
- DEA -> Digital Earth Australia
- Land Cover
- Waterbodies
- BOM -> Bureau of Meteorology Hydrogeochemistry
New South Wales
- NSW
- WCS
- WFS Mineral Drillholes
- WFS Petroleum Drillholes
- WFS Coal Drillholes
- Seismic -> Seismic and others
Queensland
- Queensland
- Geoscientific -> Geophysics and Report Index
- Geology
- Regional
- State
- Tenements
- Roads
- Watercourse
South Australia
- SARIG
- Drillholes
- Geology
- Geophysics
- Prospectivity
- Minerals and Mines
- Remote Sensing
- Seismic
- Tenements
Northern Territory
- NTGS -> Northern Territory Geological Survey
Tasmania
Victoria
Western Australia
New Zealand
- GNS -> List of web services
South America
Brazil
Peru
Mexico
- GeoInfo -> Rest services
Argentina
Colombia
Uruguay
Other
- SIG Andes -> Andes geology
Europe
EGDI -> EGDI Minerals
Britain
- BGS -> British Geological Survey
- Geoindex -> mineral occurrence example
- Rest -> BGS Rest services
- Inspire 625
Czech Republic
Denmark
- deus -> Greenland WMS/WFS
- Deus - Update? (needs checking)
- Greemin -> Greenland mineral resources portal
Iceland
Ireland
Finland
- GTK -> Geological Survey of Finland
- Arctic Minerals -> Arctic 1M Mineral Occurrences
Germany
Greenland
- Greenmin -> Web map portal
Hungary
Poland
- Rest example -> Many more mapservers
Portugal
Romania
- IGR -> WMS only
- IGR minres -> WMS only
Slovakia
Spain
- Spain
- Geology -> 200K
- 1M -> 1M
- 50K -> 50K
- IGME Geode
- Geophysics
- Copper - Copper
- GeoFPI - > Geology and Minerals South Portuguese Zone
- Water
Sweden
Ukraine
- Geoinform -> [currently suspended]
North America
Canada
USA
Asia
- China -> WMS mineral deposit wap
- orefield -> Mineral occurrence points
- India Mineral -> WMS
- India Geophysics
- Korea
- ASEAN wms -> no data, just picture
Africa
- Africa Geoportal -> Rest services
- Africa 10M -> Africa 10M Mineral Occurrences https://pubs.usgs.gov/of/2005/1294/e/OF05-1294-E.pdf
- IPIS Artisanal Mines - > There is a WMS version too
- github
- Uganda -> GMIS WMS
General
- Mineral Exploration Web Services -> QGIS plugin with access to many relevant web services
Other
- Open Street Map -> useful general tile service
APIs
- Open Data API -> GSQ Open Data Portal API
- CORE -> Open Research Texts
- API Notebook -> Example and fucntions
- SHARE -> Open Science API
- USGS Publications
- CROSSREF
- xDD -> former GeoDeepDive
- ADEPT -> GUI to xDD to search 15M harvested papers
- OpenAlex
- Macrostrat
- paper
- Macrostrat-xvec -> Macrostrat style data adaptation to xarray xvec
- OpenMinData -> facilitate querying and retrieving data on minerals and geomaterials from the Mindat API
- Iceland Geological Society
Data Portals
World
- Earth Model Collaboration -> access to various Earth models, visualization tools for model preview, facilities to extract model data/metadata and access to the contributed processing software and scripts.
- ISC Bulletin -> Earthquake focal mechanism search
- Magnetics Information Consortium -> paleomagnetic, geomagnetic, rock magnetic
- Earthchem -> Community-driven preservation, discovery, access, and visualization of geochemical, geochronological, and petrological data
- PANGAEA -> Earth and environmental science data
Australia
Geoscience Australia
- Geoscience Australia Data Catalogue
- AusAEM
- Geoscience Australia Portal
- Exploring for the Future Portal -> Geoscience Australia web portal with download information
- AusAEM
- AusLAMP
- Geochronology and Isotopes
- Hydrogeology Catchments -> search for catchments layer
- Critical Minerals Mapping Initiative
- Australian Stratigraphic Units
- Australian Borehole Stratigraphic Units -> Compilation for groundwater of sedimentary units
- Geoscience Australia Geophysics thredds -> OpendDAP and https access
- MORPH gdb -> Officer Musgrave drilling data
CSIRO
- CSIRO Data Access Portal
- Regolith Depth
- TWI -> Topographic Wetness Index
- ASTER Geoscience Maps -> Website
- FTP -> CSIRO ftp site
- ASTER Maps notes -> Notes for the above
AuScope
- 3D Geology -> Models from multiple areas
TERN
Bureau of Meteorology
- Groundwater Explorer -> Bureau of Meteorology
Foundational Spatial Data
South Australia
- SARIG -> South Australia Geological Survey geospatial map based search
- SARIG Catalogue -> data catalogue
- 3D Models
- Data Packages - Annual update
- s3 Reports -> Reports and textracted versions in s3 bucket with web interface)
- Reports
- Seismic
- Seismic downloads -> One page of links
Northern Territory
- STRIKE -> Northern Territory Geological Survey
- GEMIS
- McArthur Basin -> 3D Model
- Geophysical Surveys
- Geophysics -> reference
- Drilling and Geochemistry -> reference
- Data Package -> data package
Queensland
Western Australia
- GEOVIEW -> Western Australia Geological Survey
- DMIRS -> DMIRS Data and Software Centre
- Download URLS -> dataset of download links
- Drilling and Geochemistry
- Download package - improvement?
- Geochemistry
- Petroleum Wells with depths
- data WA subset
NSW
Tasmania
Victoria
- Earth Resources
- GeoVIC -> Webmaps needs registration to be more useful
New Zealand
- Exploration Database -> Online
- GERM -> Geological Resource Map of New Zealand
- Geology -> Web Map
South America
Argentina
Bolivia
- SERGEOMIN IDE -> Bolivia Geological Mining Service geospatial data
Brazil
- CPRM -> Brazil Geological Survey
- Downloads -> Brazil Geological Survey Downloads
- Rigeo -> Institutional Repository of Geosciences
Chile
Colombia
Ecuador
- IIGE Geoenergia -> Ecudaor energy institute geological, mineral and energy resources
Mexico
Paraguay
Peru
- Ingemmet GeoPROMINE -> Geological Survey of Peru
- GeoMAPE
Uruguay
Europe
- EGDI -> European Geological Data Infrastructure Pan-European geological data portal with 800+ map layers including mineral occurrences and critical raw materials; OGC WFS/WMS services at https://www.europe-geology.eu/data-tools/
- Inspire -> Inspire Geoportal
Austria
- GeoSphere -> Austrian geological and geophysical open data hub with FAIR datasets; REST API available
Belgium
- RBINS -> Royal Belgian Institute of Natural Sciences (RBINS) — geological maps, subsurface databases and mineral resource data for
Bulgaria
- Bulgarian Geological Institute -> Bulgarian Academy of Sciences Geological Institute — geological databases, maps and mineral resources data
Croatia
Czech Republic
- GS -> Czech Geological Survey
- GS (English) -> Czech Geological Survey English version
Denmark
Finland
- Minerals4EU
- GTK -> Geological Survey of Finland
- Geochemical Maps -> pdf only!
France
- Infoterre -> French Geological Survey
Germany
Greece
- IGME Geoportal -> Greek Institute of Geology and Mineral Exploration — geological maps, mineral deposits, geochemistry and geophysics data portal; WMS/WFS at gis.igme.gr
Hungary
Ireland
- GSI -> Geological Survey of Ireland
- GSI - Map viewer
- Goldmine -> Map and document search
- data.gov.ie -> National portal view
- isde -> Irish Spatial Data Exchange
- ISPRA Geological Survey -> Italian geological survey portal with geological maps, mineral resources, and OGC web services (WMS/WFS/WCS)
- DINOloket -> Netherlands subsurface data portal with boreholes, geology, groundwater and mineral information (TNO); WFS/WMS services
Norway
- NGU -> Norway Geological Survey
- database -> Mineral resources and stratigraphy lookups
- github
- API
- Geoporta -> Geophysics
- GEONORGE -> Data catalogue with download
Poland
Portugal
Romania
- IGR -> Romania Geological Survey
- Mineral Resources
Russia
- Russian Geological Research Institute -> Inaccessible currently
- RGU -> GIS project of deposits
Serbia
- Geological Survey of Serbia -> Serbia Geological Survey — geological maps, mineral deposits database and geohazard data
Slovakia
Slovenia
Spain
- IGME -> Spanish Geological Survey
Sweden
- SGU -> Swedish Geological Survey
Switzerland
- Swisstopo Geology Data -> Federal Office of Topography geology datasets — national geological maps, boreholes, tectonics and mineral resources open data; STAC API at https://data.geo.admin.ch/api/stac/v1/
Ukraine
United Kingdom
- Britain
- mapserver
- github
- UK Onshore Geophysical Library
- OS Data Hub British Geology
- Mineral Potential -> BGS mineral potential mapper
North America
Canada
- Natural Resources Canada
- github
- Geoscience Data Repository -> DAP Server
- Mining Web Map Portal
- DEM -> Canada DEM in COG format
- CDEM -> Digital Elevation Model (2011)
- Ontario
- Quebec
- SIGEOM Database
- Drilling
- British Columbia
- Mineral occcurrence database
- Yukon
- Nova Scotia
- provincial
- Prince Edward Island
- Saskatchewan
- Mineral occurrence database
- Newfoundland -> didn't work in Chrome, tried it in Edge
- New Brunswick
- Alberta
- Interactive Mapping Application
- Northwest Territories
- Mineral Tenure
- Nunavut Geoscience
USA
- USGS -> Map database
- MRDS -> Mineral Resources Data Systems
- Earth Explorer -> USGS Remote Sensing Data Portal
- National Map Database
- National Map Database
- Alaska
- ReSci -> Registry of Scientific Collections of the National Geological and Geophysical Data Preservation Program
- Michigan
Africa
- Cadastre
- Hydrogeology -> Hydrogeology and geology from groundwater atlas
- West Africa -> Mineral deposits
- Namibia
- Mineral Occurrences
- Miners
- South Africa -> South Africa geological survey
- Mineral Occurrences -> Example where you need to log in to download
- Uganda -> GMIS portal
- Metallic minerals
- Tanzania
- Mineral Occurrences
- Mines
- SIGM -> Tunisia Geology and Mining
- Zambia -> Zambia tenements here
Asia
ASEAN
China
Indonesia
India
- Bhukosh -> India Geological Survey
- Note Rajasthan geology doesn't work except piecemeal which is painful - if you want it, let me
Japan
- [IGG Data] (https://unit.aist.go.jp/igg/en/database/index.html)
Korea
Saudi Arabia
Thailand
Other
Geology
- StratDB
- GEM Global Active Faults
- RRuff Mineral Properties
- article -> Evolutionary system of mineralogy
- OneGeology
- catalog
Iran
Geology
General
- OSF -> Open Science Foundation
- Sediment Hosted Base Metals -> Sediment Hosted Base Metals
- Lithosphere Athenosphere Boundary -> LAB Hoggard/Czarnota
- Geological Survey list
Reports
Australia
- Northern Territory GEMIS
- South Australia SARIG
- Western Australia WAMEX
- Queensland
- NSW Digs
- PorterGEO -> World mineral deposits databases with summary overviews
- Sustainable Minerals Institute -> Queensland organisation of university affiliated researchers producing datasets and knowledge
Canada
- British Columbia
- Search -> Mineral Assessment Reports
- Publications -> Publications
- Ontario -> Mineral Asssessment Reports
- Alberta
- Yukon
- Footprint
- Manitoba
- Newfoundland and Labrador
- Northwest Territories
- Nova Scotia
- Quebec
- Saskatchewan
USA
UK
- British Geological Survey NERC
- Mineral Potential
- Search
- API example
- Publications
- MEIGA -> MEIGA 600 BGS mineral exploration project reports
Sweden
- GeoLagret -> Sweden
Other
- MinData -> Compilation of rock locations from around the world
- Mineral Database -> Exportable list of minerals with scientific properties and ages
- NASA
- ResearchGate -> Researcher and professional network
Tools
GIS
- QGIS -> GIS Data Visualisation and Analysis Open Source desktop application, has some ML tools : Indispensible for some quick and easy viewing
- 2D Geology in QGIS -> Workshop for QGIS NA 2020 introducing geologic maps and cross-sections for students and hobbyists
- OpenLog -> Drillhole plugin beta
- Geo-SAM -> QGIS plugin for Segment Anything with rasters
- QGIS Project Packager
- Weights-of-Evidence
- plugin
- GRASS
- saga -> mirror of sourceforge
3D
-
PyVista -> VTK wrapping api for great data visualisation and analysis
- PVGeo
- Pyvista-Xarray -> Transforming xarray data to VTK 3D painlessly: a great library!
- OMFVista -> Pyvista for Open Mining Format
- Scipy 2022 Tutorial
-
TorchMesh -> GPU accelerated Mesh programming with PyVista integration
-
PyMeshLab -> Mesh transformation
-
- GUI -> Desktop version
-
Geolambda -> AWS Lambda setup
-
- geoh5py -> getting data to and from geoh5 projects
- geoapps -> notebook based applications for geophysics via geoh5py
- geoh5vista
- gams -> magnetic data analysis
- paper - A Framework for Mineral Geoscience Data and Model Portability - geoh5
Geospatial General
- Python resources for earth science
- geoutils -> geospatial analysis and foster inter-operability between other Python GIS packages.
Vector Data
Python
- Geopandas
- Dask-geopandas
- geofileops -> Increased speed spatial joins via database functions and geopackage
- Kart -> Distributed version control for daata
- PyESRIDump -> Library to grab data at scale from ESRI Rest
- DuckDB Spatial Extension -> Can also use standalone no install necessary executable
- Pairwise -> Pairwise parallel geospatial processing
R
- SF
- terra -> terra provides methods to manipulate geographic (spatial) data in "raster" and "vector" form.
Raster Data
C
- exactextract -> command line zonal stats in C
Julia
- Rasters.jl -> reading and writing common raster data types
Python
- Rasterio -> python base library for raster data handling
- georeader -> process raster data from different satellite missions
- Rasterstats -> summarising geospatial raster datasets based on vector geometries
- Raster threading -> raster threading tests
- Xarray -> Multidimensional Labelled array handling and analysis
- Rioxarray -> Fabulous high level api for xarray handling of raster data
- gdalxarray -> integrate GDAL with xarray, especially for the multidimensional API
- Geocube -> Rasterisation of vector data api
- ODC-GEO -> Tools for remote sensing based raster handling with many extremely handy tools like colorisation, grid workflows
- Rasterix -> Raster tricks for xarray
- COG Validator -> checking format of cloud optimised geotiffs
- Griffine -> utilities for working with affine grids
- ouroboros -> Extract terrible GDB rasters to something else!
- serverless-datacube-demo -> xarray via lithops / Coiled / Modal
- tifviewer -> Lightweight cli geotiff viewer
- Xarray Spatial -> Statistical analysis of raster data such as classification like natural breaks
- xarray-einstats -> Stats, linear algebra and einops for xarray
- xdggs -> Other types of grids
- xgcm -> Histograms with labels
- xrft -> Xarray based Fourier Transforms
- xvec -> Vector data cubes for Xarray
R
- Raster -> R library
- terra -> provides methods to manipulate geographic (spatial) data in "raster" and "vector" form.
- stars -> spatiotemporal Arrays: Raster and Vector Datacubes
- exactextracr -> raster zonal statistics for R
Rust
- async-geotiff -> Cloud optimised tiff reading
Benchmarks
- raster-benchmark -> Benchmarking some raster libaries in python and R
Gui
- Whitebox Tools -> python api, gui, etc. have used for topographical wetness index calculation
Other
- Smoothify -> Smoothing out polygonised raster data
Data Collection
- PiAutoStage -> 'An Open-Source 3D Printed Tool for the Automatic Collection of High-Resolution Microscope Imagery;' designed for mineral samples.
ok ## Data Conversion
GOCAD
- AuScope -> Data from binary GOCAD models
- GOCAD SG Grid Reader
- geomodel-2-3dweb -> In here they have a method to extract data from binary GOCAD SG Grids
- GOCAD TS Surface Reader -> GOCAD TS Surface Reader
Geosoft
-
Harmonica Geosoft Grid -> Pull request in progress on conversion to xarray
- Loop Geosoft Grid -> old version
-
Geophysics Data Reverse Engineering -> framework for analysing and reverse engineering legacy binary geophysics data formats
-
mining-ds-toolkit -> Datamine binary converter
-
OMF -> Open Mining Format for conversion between things
Geochemistry
- Pygeochemtools -> library and command line to enable rapid QC and plotting of geochemical data
- SA Geochemical Maps -> Data Analysis and plotting of South Australia geochemistry data from the Geological Survey of SA
- Geochemical levenning
- Scott Halley's geochemistry tutorial
- Periodic Table
Geostatistics
Geochronology
- Geologic Time Scale -> Code to produce, but also has a nice regular csv of the Ages
Geology
-
Gempy -> Implicit Modelling geo-lm -> GemPy models via Llama-4
-
Gemgis -> Geospatial Data Analysis assistance
-
LoopStructural -> Implicity Modelling
-
Manual python geologia -> Analysis of geology data
-
Map2Loop -> 3D Modelling Automation
- Loop3D -> GUI for Map2Loop
- Loop Autobedding -> Can you do approximates for use with above when none
-
SA Stratigraphy -> Stratigraphy database editor webapp
-
Global Tectonics -> Open source dataset to build on, plates, margins etc.
Geophysics
- Geoscience Australia Utilities
- Geophysics for Practicing Geoscientists
- Potential Field Toolbox -> Some xarray based Fast Fourier Transform filters - derivatives, pseudogravity, rpg etc.
- Notebook -> Class with some examples [Vertical derivative, Pseudogravity, Upward Continuation etc)
- Computation geophysics sandbox
- RIS Basement Sediment -> Depth to Magnetic Basement in Antarctica
- Signal Image Processing
Electromagnetic
- Geoscience Australia AEM
- UH Electromagnetics -> Coursework notebooks on understanding this domain
- AEM Interpretation
- EMag Py -> FDEM
- ResIPy -> DC / IP
Gravity and Magnetics
- Harmonica
- Filter examples -> Fast Fourier transform based processing via xarray
- Australian Gravity Data
- Worms
- Worms update <- potential fields worm creation with some minor updates to handle new networkx api *github mirror
- Osborne Magnetic -> Survey data processing example
Seismic
- Segyio
- Segysak -> Xarray based seg-y data handling and analysis
- Geophysical notes -> Seismic data processing
Magnetotellurics
- MtPy
- Tutorials
- MtPy -> update of the above to make things easier
- Mineral Stats Toolkit -> Distance to MT features analysis
- Lithospheric conductors paper
- mtwaffle -> MT data analysis examples
- pyMT
- resistics
- MECMUS -> tools to read Electrical Conductivity model of the USA
- model
Gridding
- GMT
- Verde
- Grid_aeromag -> Brazilian gridding example
- pyinterp -> Multidimensional gridding via Boost
- Pseudogravity -> From Blakely, 95
Inversion
- SimPEG
- Gimli
- Tomofast-x
- USGS anonymous ftp
- USGS Software -> longer list of older useful stuff: dosbox, anyone?
- Geophysics Subroutines -> Fortran code
- 2020 Aachen Inversion problems -> Overview of gravity inversion theory
Geochemistry
Drilling
- dh2loop -> Drilling Interval assistance
- drilldown -> Drilling visualisation in notebooks via geoh5py -> note desurveying
- PyGSLib -> Downhole surveying and interval normalising
- pyborehole -> Processing and visualizing borehole data
- dhcomp -> composites geophysical data to a set of intervals
Remote Sensing
- ASTER Analysis -> Global time series analysis of ASTER public data
- Awesome spectral indices -> Guide to spectral index creation
- Lefa -> Fracture analysis, lineaments
- Open Data Cube
- DEA Notebooks -> Code for use in ODC style workflows
- Datacube-stats -> Statistical analysis library for ODC
- Geo Notebooks -> Code examples from Element 84
- Raster4ML -> A large number of vegetation indices
Serverless
- Kerchunk -> Serverless access to cloud based data via Zarr
- Kerchunk geoh5 -> Access to Geoscient Analyst/geoh5 projects serverlessly via kerchunk
- Tifffile variant
- Virtuallizar -> Similar idea to kerchunk
- icehunk -> Transactional storage engine for tensor / ND-array data designed for use on cloud object storage.
Stac catalogues
- DEA Stackstac -> Examples of working with Digital Earth Australia data
- Intake-stac
- ML AOI Extension
- ML Model Extension Specification -> Machine Learning Model Specification for CatalogingSpatio-Temporal Models
- ODC-Stac -> Database free Open Data Cube
- Pystac
- Sat-search
- Stackstac -> Metadata speeded up dask and xarray timeseries
Reverse Engineering
Statistics
Visualisation
Mineral Potential
- Nickel Mineral Potential Mapping -> ESRI Based analysis
- Prospectivity Online Tool
Mining Economics
- Bluecap -> Framework from Monash University for assessing mine viability
- Zipfs Law -> Curve fitting the distribution of Mineral Depositions
- PyASX -> ASX Data Feed scraping
- Metal Price API -> Containerised Microservice
Visualisation
- Napari -> Multidimensional image viewer
- Holoviews -> Large scale data visualisation
- Graphviz -> Graph plotting/viewing assistance windows installation info
- Spatial-kde
Colormaps
- CET Perceptually Uniform Colormaps
- PU Colormaps -> Formatted for user in Geoscience Analyst
- Colormap distortions -> A Panel app to demonstrate distortions created by non-perceptual colormaps on geophysical data
- Ripping Data from Colormpas
- Open Geoscience Code Projects
Geospatial
- Geospatial >- installs multiple common python packages
- Geospatial python -> Curated list
Technology Stacks
C
- GDAL -> Absolutely crucial data transformation and analysis framework
- Tools -> Note has many command line tools that are very useful as well
Julia
- Julia Earth -> Fostering geospatial data science and geostatistical modeling in Earth sciences
- Julia Geodynamics -> computational geodynamics code
- Introduction to Julia for Geoscience
- Zarrs -> Zarr for Julia
Python - PyData
- Anaconda -> Get lots installed already with this package manager.
- GDAL et al -> Take the pain out of GDAL and Tensorflow installs here
- Git Bash -> Getting conda to work in Git Bash
- Numpy Multidimensional arrays
- Pandas Tabular data analysis
- Matplotlib visualisation
- Zarr -> Compressed, chunked distributed arrays
- Dask -> Parallel, distributed computing
- Dask Cloud Provider -> Automatically start dask clusters on the cloud
- Dask Median -> Notebook giving a Dask median function prototype
- Python Geospatial Ecosystem -> Curated information
Rust - GeoRust
- GeoRust -> Collection of geospatial utilities in rust
Databases
- DuckDB -> In process OLAP DB at speed - has some geospatial and array capabilities
- ibis + Duckdb geopsatial -> scipy2024 talk
Data Science
- Python Data Science Template -> Project package setup
- Awesome python data science -> Curated guide
Probability
- distfit -> Probability density fitting
Science
Docker
- AWS Deep Learning Containers
- Spatial Docker
- DL Docker Geospatial
- Rocker
- Docker Lambda
- Geobase
- DL Docker Geospatial
Ontologies
- Geological Society of Queensland vocabularies
- Geological Society of Western Australia
- Stratigraphic
- Geoscience Knowledge Manager
- GeoSciML Vocabularies
Books
Python
- Python geospatial analysis cookbook
- Geoprocessing with Python -> Manning livebook
Other
- Textbook
- Machine Learning in the Oil and Gas industry
- Geocomputation with R
- Earthdata Cloud Cookbook -> How to access NASA resources
- Data Cleaner's Cookbook -> Putting unix tools to good use for data wrangling and cleaning
- Encyclopedia of Mathematical Geosciences
- Handbook of Mathematical Geosciences
Other
- GXPy -> Geosoft Python API
- EarthArxiv -> Download papers from the preprint archive
- Essoar -> Preprint paper archive
Datasets
World
Drilling
Ocean
Oil and Gas Wells
- GOGI -> GOGI Oil and Gas wells
- OGIM -> Oil and Gas Infrastructure Mapping [including wells]
- paper -> OGIM paper
- supplement -> Permian Basin ML check
- paper -> Wellpad detection from space
Geochemistry
Geology
- Bedrock -> Generalised geology of the world
- GLIM -> Global lithology map
- Paleogeology An Atlas of Phanerozoic Paleogeographic Maps
- Phanerozoic Paleoclimate
- Sedimentary Layers -> Global 1-km Gridded Thickness of Soil, Regolith, and Sedimentary Deposit Layers
- World Stress Map -> Global compilation of information on the crustal present-day stress field
- GMBA -> Global mountain inventory
Minerals
MineralTD -> dataset containing 400 unique minerals for ML
- zenodo
- paper -> MRMinerals and MineralTD: Machine-Readable Mineral Formula and Compositions Data Set for Data-Driven Research
Geophysics
Gravity
Magnetics
Magnetotellurics
- EMC -> global 3D inverse model of electrical conductivity
Remote Sensing
- GEBCO_2024 Grid -> global continuous terrain model for ocean and land with a spatial resolution of 15 arc seconds.
Seismic
- LAB SLNAAFSA
- LAB CAM2016
- Moho -> GEMMA Data
- Moho -> Szwillus Data
- Seismic Velocity - > Debayle et al
- LithoRef18 -> A global reference model of the lithosphere and upper mantle from joint inversion and analysis of multiple data sets
- CRUST1.0 -> global crustal model netcdf
- Overview homepage
Thermal
General
- Deep Time Digital Earth -> Data and visualisation for a variety of data sources and models
- EarthChem -> Community-driven preservation, discovery, access, and visualization of geochemical, geochronological, and petrological data
- GEOROC -> Geochemical composition of rocks
- Global Copper Deposits
- global geology -> A short recipe to make a global geology map in GIS format (e.g. shapefile), with age ranges mapped to the GTS2020 timescale
- Large Igenous Provinces Commission
- Mantle Plumes
- Sediment Thickness -> Map
- spatialreference.org -> repository for the website
Australia
Geochemistry
- Predictive grids of major oxide concentrations in surface rock and regolith over the Australian continent -> Various oxides & IGC -> Industry Geochemistry pilot
Geology
- Alkaline Rocks Atlas
- Cenozoic
- Mesozoic
- Paleozoic
- Archaean
- search
- Proterozoic Alkaline Rocks -> Proterozoic alkaline and related igneous rocks of Australia GIS
- Cenozoic
- Mesozoic
- Paleozoic
- Archaean
- 3D Chronostratigraphic Surfaces
- Hydrogeology -> Hydrogeology Map of Australia
- Hydrogeology -> 5M
- Layered Geology -> 1M
- Surface Geology -> 1M Scale
- The Australian Mafic-Ultramafic Magmatic Events GIS Dataset
Geophysics
- Gravity -> 2019 Australian National Gravity Grids
Magnetics
- TMI -> Magnetic Anomaly Map of Australia, Seventh Edition, 2019 TMI
- 40m -> 40m version
- VRTP -> Total Magnetic Intensity (TMI) Grid of Australia with Variable Reduction to Pole (VRTP) 2019
- 1VD -> Total Magnetic Intensity Grid of Australia 2019 - First Vertical Derivative (1VD)
Radiometrics
- Radiometrics -> Complete Radiometric Grid of Australia (Radmap) v4 2019 with modelled infill
- K -> Radiometric Grid of Australia (Radmap) v4 2019 filtered pct potassium grid
- U -> Radiometric Grid of Australia (Radmap) v4 2019 filtered ppm uranium
- Th -> Radiometric Grid of Australia (Radmap) v4 2019 filtered ppm thorium
- Th/K -> Radiometric Grid of Australia (Radmap) v4 2019 ratio thorium over potassium
- U/K -> Radiometric Grid of Australia (Radmap) v4 2019 ratio uranium over potassium
- U/Th -> Radiometric Grid of Australia (Radmap) v4 2019 ratio uranium over thorium
- U squared/Th -> Radiometric Grid of Australia (Radmap) v4 2019 ratio uranium squared over thorium
- Dose Rate-> Radiometric Grid of Australia (Radmap) v4 2019 filtered terrestrial dose rate
- Ternary Picture -> Radiometric grid of Australia (Radmap) v4 2019 - Ternary image (K, Th, U)
AusAEM
- AusAEM 1 -> AusAEM Year 1 NT/QLD Airborne Electromagnetic Survey; GA Layered Earth Inversion Products
- AusAEM 1 -> AusAEM Year 1 NT/QLD: TEMPEST® airborne electromagnetic data and Em Flow® conductivity estimates
- AusAEM 1 -> AusAEM1 Interpretation Data Package
- AusAEM 2 -> AusAEM 02 WA/NT 2019-20 Airborne Electromagnetic Survey
- AusAEM–WA -> AusAEM–WA, Murchison Airborne Electromagnetic Survey Blocks
- AusAEM–WA -> AusAEM-WA, Southwest-Albany Airborne Electromagnetic Survey Blocks
- AusAEM–WA -> AusAEM WA 2020-21, Eastern Goldfields & East Yilgarn Airborne
- AusAEM–WA -> AusAEM (WA) 2020-21, Earaheedy & Desert Strip
- AusAEM ERC -> AusAEM Eastern Resources Corridor
- AusAEM WRC -> AusAEM Western Resources Corridor
- interp overview
- National surface and near-surface conductivity grids -> National ML interpolation for AusEM in similar fashion to Northern Australia
AusLAMP
- AusLAMP SEA -> Resistivity model of the southeast Australian mainland from AusLAMP magnetotelluric data
- Victoria Data
- NSW Data
- AusLAMP TISA -> Resistivity model derived from magnetotellurics: AusLAMP-TISA project
- AusLAMP Delamerian -> Lithospheric resistivity model of the Delamerian Orogen from AusLAMP magnetotelluric data
- AusLAMP NE SA
- AusLAMP Gawler
- AusLAMP Stations -> circa 2017
- Tasmanides Paper
Moho
Mineral Deposits
- Geological setting, age and endowment of major Australian mineral deposits
- A Comprehensive dataset for Australian mine production 1799 to 2021
Mineral Potential
- Overview - Geoscience Australia -> Overview of publications and datasets
- Sediment Hosted Zinc
- Report
- Sediment Hosted Copper
- Report
- Abstract
- Carbonatite Rare Earth Elements
- Unconformity Rare Earth Elements
- Cenozoic Heavy Mineral Sands
Mine Waste
Native Title
Remote Sensing
- Landsat Bare Earth - Bare earth median from Landsat
- Enhanced barest earth Landsat imagery for soil and lithological modelling: Dataset -> Details of an enhancement
- Global mining footprint mapped from high-resolution satellite imagery -> Mine mapping
- DEM -> Australia 1 sec SRTM DEM of various varieties
- Land Water Mask - 3km geotiff mask
Structure
Velocity
- AU Tomo -> Next-generation velocity model of the Australian crust from synchronous and asynchronous ambient noise imaging
Topography
- Multiscale Topographic Position - RGB
- Info
- Topographic Wetness Index - 1 and 3 arc seconds
- Info
- Topographic Position Index - 1 and 3 arc seconds
- Info
- Weathering Intensity Model
- Info
- {Info](https://researchdata.edu.au/weathering-intensity-model-australia/1361069)
Northern
- Cover thickness TISA -> Cover thickness points for Tennant Creek Mt Isa with interpolated grids
- High resolution conductivity mapping using regional AEM survey and machine learning -> ML conductivity interpolation for AusAEM
- Extended abstract
- Solid Geology -> Solid Geology of the North Australian Craton
- Inversion Models -> The North Australian Craton 3D Gravity and Magnetic Inversion Models
- Ni-Cu-PGE -> Potential for intrusion-hosted Ni-Cu-PGE sulfide deposits in Australia: A continental-scale analysis of mineral system prospectivity
- TISA IOCG -> Iron oxide copper-gold (IOCG) mineral potential assessment for the Tennant Creek – Mt Isa region: geospatial data
- TISA Alteration -> Producing Magnetite and Hematite Alteration Proxies using 3D Gravity and Magnetic Inversion
South Australia
Geology
- Bedrock Geology
- Crystalline Basement -> Crystalline basement intersecting drillholes
- Mines and Mineral Deposits
- Mineral Drillholes
- Solid Geology 3D
- 100K Faults
- Archaean
- Archaean Faults
- Mesoproterozoic -> Middle
- Mesoproterozoic -> Middle faults
- Mesoproterozoic - > Late
- Mesoproterozoic Faults -> Late faults
- Neoproterozoic
- Neoproterozoic faults
- Stuart Shelf Sedimentary Copper 3D Model
- Surface Geology
Geophysics
- AusLAMP 3D -> Magnetotelluric inversions
- GCAS -> Gawler Craton Airborne Survey
- Gravity -> Gravity grids
- Stations -> Gravity stations
- Magnetics -> Magnetics
- Seismic Lines -> Seismic lines
Gawler
- Gawler MPP -> Gawler Mineral Promotion Project - Data
Queensland
- Overview
- Deep Mining Queensland-> Deep Mining Queensland
- Deposit Atlas -> Northwest Mineral Province Deposit Atlas
- Geology -> Geology series overview
- Mineral and Energy Report -> NORTH-WEST QUEENSLAND MINERAL AND ENERGY PROVINCE REPORT 2011 - NWQMEP
- Vectoring -> Mineral geochemistry vectoring
- Petroleum Wells
- Coal Seam Gas Wells
- Drillholes
Cloncurry
- Toolkit -> Multielement toolkit and laboratory
Northern Territory
- Arunta IOCG -> Iron oxide-copper-gold potential of the southern Arunta Region
- South Uranium -> Southern Northern Territory uranium and geothermal energy systems assessment digil data package
- Tennant Creek -> Conductivity Model Derived from Magnetotelluric Data in the East Tennant Region, Northern Territory
New South Wales
Geology
- Seamless Geology -> NSW Seamless Geology Data Package (older version also on this page)
Mineral Potential Data Packages
Western Australia
Geochemistry
Geology
- 100K Bedrock
- 100K mapsheets for surface you have to download individually and combine - they aren't consistent
- 250K mapsheets for surface you have to download individually and combine - they aren't consistent
- 500K Bedrock
- Abandoned Mines
- Mineral Occurrences
Mineral Potential
Prospectivity
- Capricorn-> Prospectivity analysis using a mineral systems approach - Capricorn case study project
- King Leopold -> Mineral prospectivity of the King Leopold Orogen and Lennard Shelf: analysis of potential field data in the west Kimberley region
- Yilgarn Gold
- Yilgarn 2 -> Predictive mineral discovery in the eastern Yilgarn Craton: an example of district-scale targeting of an orogenic gold mineral system
- [Shop note] -> WA has a few prospectivity packages available to purchase on USB drive for 50-60AU type prices - see in geospaital maps section
Tasmania
Geology
Victoria
New Zealand
- Mineral Data Pack -> Mineral Exploration Data Pack
North Americia
- National-Scale Geophysical, Geologic, and Mineral Resource Data and Grids -> Also has some Australia data
- Groundwater wells -> Database
- Maximum horizontal stress orientation and relative stress magnitude (faulting regime) data throughout North America
- NWUS-MT-2025 -> 3-D electrical resistivity model of northwestern U.S. by FEMTIC with non-conforming deformed hexahedral mesh
- paper -> Revealing the Non-uniqueness Inherent in MT Inversion: A Comparative Study of Influential Factors and Algorithm-Dependent Uncertainties in FEMTIC and ModEM with USArray MT Data
Canada
Geochemistry
- Database of Canadian surveys -> some standardisation done here
Geology
- Map
- Geology -> Updated Bedrock geology map
- Geology -> Bedrock geology compilation and regional synthesis of south Rae and parts of Hearne domains, Churchill Province, Northwest Territories, Saskatchewan, Nunavut, Manitoba and Alberta
- Moho -> National database of Moho depth estimates estimates from seismic refraction and teleseismic surveys
Geophysics
- Dap Search -> Geoportal search - note annoyingly these are in Geosoft grids - see elsewere for conversion possibilties
- [Gravity, Magnetics, Radiometrics] -> Mostly country scale
Newfoundland
Europe
European
Finland
- FODD -> Fennoscandian Mineral Deposits
Ireland
- MPM -> Mineral Potentinal Mapping project
Papers with Code
NLP
- https://www.sciencedirect.com/science/article/pii/S2590197422000064?via%3Dihub#bib20- -> Geoscience language models and their intrinsic evaluation -> NRCan code above [includes model]
- https://www.researchgate.net/publication/334507958_Word_embeddings_for_application_in_geosciences_development_evaluation_and_examples_of_soil-related_concepts -> GeoVec [includes model]
- https://www.researchgate.net/publication/347902344_Portuguese_word_embeddings_for_the_oil_and_gas_industry_Development_and_evaluation -> PetroVec [includes model]
- A resource for automated search and collation of geochemical datasets from journal supplements
Geochemistry
Geology
- https://github.com/sydney-machine-learning/autoencoders_remotesensing -> Stacked Autoencoders for Lithological Mapping
Mineral
Papers with Features Data
- These you can reproduce the output geospatially from the data given.
Mineral Prospectivity
- https://www.sciencedirect.com/science/article/pii/S016913682100010X#s0135 -> Prospectivity modelling of Canadian magmatic Ni (±Cu ± Co ± PGE) sulphide mineral systems [well worth reading]
- https://www.sciencedirect.com/science/article/pii/S0169136821006612#b0510 -> Data–driven prospectivity modelling of sediment–hosted Zn–Pb mineral systems and their critical raw materials [well worth reading]
- https://www.researchgate.net/publication/358956673_Towards_a_fully_data-driven_prospectivity_mapping_methodology_A_case_study_of_the_Southeastern_Churchill_Province_Quebec_and_Labrador
England
Geochemistry
Geology
- https://eprints.utas.edu.au/32368/ -> Machine-assisted modelling of lithology and metasomatism
Geophysics
- https://github.com/TomasNaprstek/Aeromagnetic_CNN - Aeromagnetic CNN
- Paper https://www.researchgate.net/publication/354772176_Convolution_Neural_Networks_Applied_to_the_Interpretation_of_Lineaments_in_Aeromagnetic_Data
- PhD -> New Methods for the Interpolation and Interpretation of Lineaments in Aeromagnetic Data
- Paper https://www.researchgate.net/publication/354772176_Convolution_Neural_Networks_Applied_to_the_Interpretation_of_Lineaments_in_Aeromagnetic_Data -> Convolution Neural Networks Applied to the Interpretation of Lineaments in Aeromagnetic Data
Geospatial Output - No Code
- https://geoscience.data.qld.gov.au/report/cr113697 -> NWMP Data-Driven Mineral Exploration And Geological Mapping [CSIRO too]
Journals
- https://www.sciencedirect.com/journal/artificial-intelligence-in-geosciences -> Artificial Intelligence in Geosciences
Papers
- Generally Not ML, or no Code/Data and sometimes no availability at all
- Eventually will separate out into things that have data packages or not like NSW Zone studies.
- However, if interested in an area you can often georeference a picture if nothing else as a rough guide.
- Generally these are not reproducible - a few like the NSW prospectivity zone studies and NWQMP are with some work.
- The occasional paper in this section may be listed above
New to File
General
- https://www.researchgate.net/publication/337650865_A_combinative_knowledge-driven_integration_method_for_integrating_geophysical_layers_with_geological_and_geochemical_datasets
- https://link.springer.com/article/10.1007/s11053-023-10237-w - A New Generation of Artificial Intelligence Algorithms for Mineral Prospectivity Mapping
- https://www.researchgate.net/publication/235443297_Addressing_challenges_with_exploration_datasets_to_generate_usable_mineral_potential_maps
- https://www.researchgate.net/publication/330077321_An_Improved_Data-Driven_Multiple_Criteria_Decision-Making_Procedure_for_Spatial_Modeling_of_Mineral_Prospectivity_Adaption_of_Prediction-Area_Plot_and_Logistic_Functions
- Artificial intelligence and machine learning to enhance critical mineral deposit discovery -> https://www.sciencedirect.com/science/article/pii/S2772883825000111?via%3Dihub
- Artificial intelligence for mineral exploration: A review and perspectives on future directions from data science -> https://www.sciencedirect.com/science/article/pii/S0012825224002691
- https://www.researchgate.net/project/Bayesian-Machine-Learning-for-Geological-Modeling-and-Geophysical-Segmentation
- https://www.researchgate.net/publication/229714681_Classifiers_for_Modeling_of_Mineral_Potential
- https://www.researchgate.net/publication/352251078_Data_Analysis_Methods_for_Prospectivity_Modelling_as_applied_to_Mineral_Exploration_Targeting_State-of-the-Art_and_Outlook
- https://www.researchgate.net/publication/267927728_Data-Driven_Evidential_Belief_Modeling_of_Mineral_Potential_Using_Few_Prospects_and_Evidence_with_Missing_Values
- https://www.linkedin.com/pulse/deep-learning-meets-downward-continuation-caldera-analytics/?trackingId=Ybkv3ukNI7ygH3irCHZdGw%3D%3D
- https://www.researchgate.net/publication/382560010_DINOv2_Rocks_Geological_Image_Analysis_Classification_Segmentation_and_Interpretability
- https://www.researchgate.net/publication/368489689_Discrimination_of_Pb-Zn_deposit_types_using_sphalerite_geochemistry_New_insights_from_machine_learning_algorithm
- Dual Random Fields and their Application to Mineral Potential Mapping -> https://arxiv.org/abs/2412.07488
- https://link.springer.com/article/10.1007/s11430-024-1309-9 -> Explainable artificial intelligence models for mineral prospectivity mapping
- https://www.researchgate.net/publication/229792860_From_Predictive_Mapping_of_Mineral_Prospectivity_to_Quantitative_Estimation_of_Number_of_Undiscovered_Prospects
- https://www.researchgate.net/publication/339997675_Fully_reversible_neural_networks_for_large-scale_surface_and_sub-surface_characterization_via_remote_sensing
- https://www.researchgate.net/publication/220164488_Geocomputation_of_mineral_exploration_targets
- https://www.researchgate.net/publication/272494576_Geological_knowledge_discovery_and_minerals_targeting_from_regolith_using_a_machine_learning_approach
- https://www.researchgate.net/publication/280013864_Geometric_average_of_spatial_evidence_data_layers_A_GIS-based_multi-criteria_decision-making_approach_to_mineral_prospectivity_mapping
- https://www.researchgate.net/publication/355467413_Harnessing_the_Power_of_Artificial_Intelligence_and_Machine_Learning_in_Mineral_Exploration-Opportunities_and_Cautionary_Notes
- https://www.researchgate.net/publication/335819474_Importance_of_spatial_predictor_variable_selection_in_machine_learning_applications_-Moving_from_data_reproduction_to_spatial_prediction
- https://www.researchgate.net/publication/337003268_Improved_supervised_classification_of_bedrock_in_areas_of_transported_overburden_Applying_domain_expertise_at_Kerkasha_Eritrea - Gazley/Hood
- https://www.researchgate.net/publication/360660467_Lithospheric_conductors_reveal_source_regions_of_convergent_margin_mineral_systems
- https://api.research-repository.uwa.edu.au/portalfiles/portal/5263287/Lysytsyn_Volodymyr_2015.pdf (PhD thesis) GIS-based epithermal copper prospectivity mapping of the Mt Isa Inlier, Australia: Implications for exploration targeting
- https://www.researchgate.net/publication/374972769_Knowledge_and_technology_transfer_in_and_beyond_mineral_exploration -> Knowledge and technology transfer in and beyond mineral exploration
- https://www.researchgate.net/publication/331946100_Machine_learning_for_data-driven_discovery_in_solid_Earth_geoscience
- https://theses.hal.science/tel-04107211/document - Machine Learning Approaches for Sub-surface Geological Heterogeneous Sources
- https://www.researchgate.net/publication/309715081_Magmato-hydrothermal_space_A_new_metric_for_geochemical_characterisation_of_metallic_ore_deposits - Magmato-hydrothermal space: A new metric for geochemical characterisation of metallic ore deposits
- https://www.researchgate.net/publication/220164234_Mapping_complexity_of_spatial_distribution_of_faults_using_fractal_and_multifractal_models_Vectoring_towards_exploration_targets
- https://www.researchgate.net/publication/220163838_Objective_selection_of_suitable_unit_cell_size_in_data-driven_modeling_of_mineral_prospectivity
- https://www.researchgate.net/publication/273500012_Prediction-area_P-A_plot_and_C-A_fractal_analysis_to_classify_and_evaluate_evidential_maps_for_mineral_prospectivity_modeling
- https://www.researchgate.net/publication/354925136_Soil-sample_geochemistry_normalised_by_class_membership_from_machine-learnt_clusters_of_satellite_and_geophysics_data [Gazley/Hood]
- https://link.springer.com/article/10.1007/s12665-024-11870-1 -> Quantification of the uncertainty of geoscientific maps relying on human sensory engagement
- https://www.researchgate.net/publication/235443294_The_effect_of_map-scale_on_geological_complexity
- https://www.researchgate.net/publication/235443305_The_effect_of_map_scale_on_geological_complexity_for_computer-aided_exploration_targeting
- https://link.springer.com/article/10.1007/s11053-024-10322-8 -> Workflow-Induced Uncertainty in Data-Driven Mineral Prospectivity Mapping
Mineral Prospectivity
Australia
- https://www.mdpi.com/2072-4292/15/16/4074 -> A Spatial Data-Driven Approach for Mineral Prospectivity Mapping
- https://www.researchgate.net/publication/253217016_Advanced_methodologies_for_the_analysis_of_databases_of_mineral_deposits_and_major_faults
- https://www.researchgate.net/publication/362260616_Assessing_the_impact_of_conceptual_mineral_systems_uncertainty_on_prospectivity_predictions
- https://www.researchgate.net/publication/352310314_Central_Lachlan_Mineral_Potential_Study
- https://meg.resourcesregulator.nsw.gov.au/sites/default/files/2024-05/EITH%202024%20Muller_Exploration_in_the_House_keynote.pdf -> Critical minerals – prospectivity mapping using generative AI
- https://www.tandfonline.com/doi/pdf/10.1080/22020586.2019.12073159?needAccess=true - > Integrating a Minerals Systems Approach with Machine Learning: A Case Study of ‘Modern Minerals Exploration’ in the Mt Woods Inlier – northern Gawler Craton, South Australia
- https://www.researchgate.net/publication/365697240_Mineral_potential_modelling_of_orogenic_gold_systems_in_the_Granites-Tanami_Orogen_Northern_Territory_Australia_A_multi-technique_approach
- https://link.springer.com/article/10.1007/s10596-026-10487-6 -> Sandstone-hosted uranium mineral prospectivity map based on Resnet 50 self-distillation
- https://publications.csiro.au/publications/publication/PIcsiro:EP2022-0483 -> Signatures of Key Mineral Systems in the Eastern Mount Isa Province, Queensland: New Perspectives from Data Analytics
- https://link.springer.com/article/10.1007/s11004-021-09989-z -> Stochastic Modelling of Mineral Exploration Targets
- https://www.researchgate.net/publication/276171631_Supervised_Neural_Network_Targeting_and_Classification_Analysis_of_Airborne_EM_Magnetic_and_Gamma-ray_Spectrometry_Data_for_Mineral_Exploration
- https://www.researchgate.net/publication/353058758_Using_Machine_Learning_to_Map_Western_Australian_Landscapes_for_Mineral_Exploration
- https://www.researchgate.net/publication/264535019_Weights-of-evidence_and_logistic_regression_modeling_of_magmatic_nickel_sulfide_prospectivity_in_the_Yilgarn_Craton_Western_Australia
- MineTRACE: An Evidence-Grounded Interactive Reasoning System for Mineral Prospectivity -> https://arxiv.org/abs/2609.02060v1
Argentina
- https://www.researchgate.net/publication/263542691_ANALYSIS_OF_SPATIAL_DISTRIBUTION_OF_EPITHERMAL_GOLD_DEPOSITS_IN_THE_DESEADO_MASSIF_SANTA_CRUZ_PROVINCE
- https://www.researchgate.net/publication/263542560_EVIDENTIAL_BELIEF_MAPPING_OF_EPITHERMAL_GOLD_POTENTIAL_IN_THE_DESEADO_MASSIF_SANTA_CRUZ_PROVINCE_ARGENTINA
- https://www.researchgate.net/publication/277940917_Porphyry_epithermal_and_orogenic_gold_prospectivity_of_Argentina
- https://www.researchgate.net/publication/269518805_Prospectivity_for_epithermal_gold-silver_deposits_in_the_Deseado_Massif_Argentina
- https://www.researchgate.net/publication/235443303_Prospectivity_mapping_for_multi-stage_epithermal_gold_mineralization_in_Argentina
Brazil
- https://www.researchgate.net/publication/367245252_Geochemical_multifractal_modeling_of_soil_and_stream_sediment_data_applied_to_gold_prospectivity_mapping_of_the_Pitangui_Greenstone_Belt_northwest_of_Quadrilatero_Ferrifero_Brazil
- https://www.researchgate.net/publication/381880769_How_do_non-deposit_sites_influence_the_performance_of_machine_learning-based_gold_prospectivity_mapping_A_study_case_in_the_Pitangui_Greenstone_Belt_Brazil
- https://www.researchsquare.com/article/rs-5066453/v1 -> Enhancing Lithium Exploration in the Borborema Province, Northeast Brazil: Integrating Airborne Geophysics, Low-Density Geochemistry, and Machine Learning Algorithms
- https://www.researchgate.net/publication/362263694_Machine_Learning_Methods_for_Quantifying_Uncertainty_in_Prospectivity_Mapping_of_Magmatic-Hydrothermal_Gold_Deposits_A_Case_Study_from_Juruena_Mineral_Province_Northern_Mato_Grosso_Brazil
- https://www.researchgate.net/publication/360055592_Predicting_mineralization_and_targeting_exploration_criteria_based_on_machine-learning_in_the_Serra_de_Jacobina_quartz-pebble-metaconglomerate_Au-U_deposits_Sao_Francisco_Craton_Brazil
Fuzzy
- https://www.researchgate.net/publication/272170968_A_Comparative_Analysis_of_Weights_of_Evidence_Evidential_Belief_Functions_and_Fuzzy_Logic_for_Mineral_Potential_Mapping_Using_Incomplete_Data_at_the_Scale_of_Investigation A Comparative Analysis of Weights of Evidence, Evidential Belief Functions, and Fuzzy Logic for Mineral Potential Mapping Using Incomplete Data at the Scale of Investigation
- https://www.researchgate.net/publication/360386350_Application_of_Fuzzy_Gamma_Operator_to_Generate_Mineral_Prospectivity_Mapping_for_Cu-Mo_Porphyry_Deposits_Case_Study_Kighal-Bourmolk_Area_Northwestern_Iran
- https://www.researchgate.net/publication/348823482_Combining_fuzzy_analytic_hierarchy_process_with_concentration-area_fractal_for_mineral_prospectivity_mapping_A_case_study_involving_Qinling_orogenic_belt_in_central_China
- https://tupa.gtk.fi/raportti/arkisto/m60_2003_1.pdf -> Conceptual Fuzzy Logic Prospectivity Analysis of the Kuusamo Area
- https://www.researchgate.net/publication/356508827_Geophysical-spatial_Data_Modeling_using_Fuzzy_Logic_Applied_to_Nova_Aurora_Iron_District_Northern_Minas_Gerais_State_Southeastern_Brazil
- https://www.researchgate.net/publication/356937528_Mineral_prospectivity_mapping_a_potential_technique_for_sustainable_mineral_exploration_and_mining_activities_-_a_case_study_using_the_copper_deposits_of_the_Tagmout_basin_Morocco
Cameroon
- https://www.nature.com/articles/s40494-025-02062-6 -> Unlocking Cameroon’s geomaterials heritage via 3D AI-driven intelligence and NLP-based resource analysis
Canada
- https://open.library.ubc.ca/soa/cIRcle/collections/ubctheses/24/items/1.0340340 -> Application of machine learning algorithms to mineral prospectivity mapping
- https://www.researchgate.net/publication/369599705_A_study_of_faults_in_the_Superior_province_of_Ontario_and_Quebec_using_the_random_forest_machine_learning_algorithm_spatial_relationship_to_gold_mines
- A balanced mineral prospectivity model of Canadian magmatic Ni (± Cu ± Co ± PGE) sulphide mineral systems using conditional variational autoencoders -> https://www.sciencedirect.com/science/article/pii/S0169136824004621
- https://link.springer.com/article/10.1007/s11053-025-10468-z -> Class Label Representativeness in Machine Learning-Based Mineral Prospectivity Mapping
- https://www.researchgate.net/publication/273176257_Data-_and_Knowledge_driven_mineral_prospectivity_maps_for_Canada's_North
- https://www.researchgate.net/publication/300153215_Data_mining_for_real_mining_A_robust_algorithm_for_prospectivity_mapping_with_uncertainties
- https://www.sciencedirect.com/science/article/pii/S1674987123002268 -> Development and application of feature engineered geological layers for ranking magmatic, volcanogenic, and orogenic system components in Archean greenstone belts
- https://eartharxiv.org/repository/view/8898/ -> Geoscientific Input Feature Selection for CNN-driven Mineral Prospectivity Mapping 365782501_Improving_Mineral_Prospectivity_Model_Generalization_An_Example_from_Orogenic_Gold_Mineralization_of_the_Sturgeon_Lake_Transect_Ontario_Canada
- https://qspace.library.queensu.ca/bitstream/handle/1974/28138/Cevik_Ilkay_S_202009_MASc.pdf?sequence=3&isAllowed=y -> MACHINE LEARNING ENHANCEMENTS FOR KNOWLEDGE DISCOVERY IN MINERAL EXPLORATION AND IMPROVED MINERAL RESOURCE CLASSIFICATION
- https://www.researchgate.net/publication/348983384_Mineral_prospectivity_mapping_using_a_VNet_convolutional_neural_network
- corporate link
- https://link.springer.com/article/10.1007/s11053-024-10451-0 -> Mineral Prospectivity Modeling of Graphite Deposits and Occurrences in Canada
- https://www.researchgate.net/publication/337167506_Orogenic_gold_prospectivity_mapping_using_machine_learning
- https://www.researchgate.net/publication/290509352_Precursors_predicted_by_artificial_neural_networks_for_mass_balance_calculations_Quantifying_hydrothermal_alteration_in_volcanic_rocks
- https://link.springer.com/article/10.1007/s11053-024-10438-x#Sec9 -> Pan-Canadian Predictive Modeling of Lithium–Cesium–Tantalum Pegmatites with Deep Learning and Natural Language Processing
- https://cmscontent.nrs.gov.bc.ca/geoscience/PublicationCatalogue/GeoFile/BCGS_GF2025-24.pdf -> Pan-Canadian mineral prospectivity workshop abstracts 2025
- https://link.springer.com/article/10.1007/s11053-024-10369-7 -> Predictive Modeling of Canadian Carbonatite-Hosted REE +/− Nb Deposits
- https://www.sciencedirect.com/science/article/pii/S0098300422001406 -> Preliminary geological mapping with convolution neural network using statistical data augmentation on a 3D model
- https://www.researchgate.net/publication/220164155_Support_vector_machine_A_tool_for_mapping_mineral_prospectivity
- PhD thesis -> https://zone.biblio.laurentian.ca/bitstream/10219/3736/1/PhD%20Thesis%20Maepa_20210603.%281%29.pdf -> Exploration targeting for gold deposits using spatial data analytics, machine learning and deep transfer learning in the Swayze and Matheson greenstone belts, Ontario, Canada
- https://data.geology.gov.yk.ca/Reference/95936#InfoTab -> Updates to the Yukon Geological Survey’s mineral potential mapping methodology
British Columbia
- http://www.geosciencebc.com/i/pdf/SummaryofActivities2015/SoA2015_Granek.pdf -> Advanced Geoscience Targeting via Focused Machine Learning Applied to the QUEST Project Dataset, British Columbia
- https://www.researchgate.net/publication/352046255_Study_of_the_Influence_of_Non-Deposit_Locations_in_Data-Driven_Mineral_Prospectivity_Mapping_A_Case_Study_on_the_Iskut_Project_in_Northwestern_British_Columbia_Canada
- https://www.researchgate.net/publication/343511849_Identification_of_intrusive_lithologies_in_volcanic_terrains_in_British_Columbia_by_machine_learning_using_Random_Forests_the_value_of_using_a_soft_classifier
- https://www.researchgate.net/publication/
Nunavut
- https://link.springer.com/article/10.1007/s11053-026-10699-8#Sec3 -> Bridging the Scale Gap: Regional Refinement of National Mineral Prospectivity Models for Nunavut, Canada
Ontario
- https://www.researchgate.net/publication/369048379_Mineral_Prospectivity_Mapping_Using_Machine_Learning_Techniques_for_Gold_Exploration_in_the_Larder_Lake_Area_Ontario_Canada
- https://www.researchgate.net/publication/348111963_Support_Vector_Machine_and_Artificial_Neural_Network_Modelling_of_Orogenic_Gold_Prospectivity_Mapping_in_the_Swayze_greenstone_belt_Ontario_Canada
Central Africa
- https://www.researchgate.net/publication/323452014_The_Utility_of_Machine_Learning_in_Identification_of_Key_Geophysical_and_Geochemical_Datasets_A_Case_Study_in_Lithological_Mapping_in_the_Central_African_Copper_Belt
- https://www.researchgate.net/publication/334436808_Lithological_Mapping_in_the_Central_African_Copper_Belt_using_Random_Forests_and_Clustering_Strategies_for_Optimised_Results
Chile
China
- https://www.researchgate.net/publication/374968979_3D_cooperative_inversion_of_airborne_magnetic_and_gravity_gradient_data_using_deep_learning_techniques - 3D cooperative inversion of airborne magnetic and gravity gradient data using deep learning techniques
- https://link.springer.com/article/10.1007/s11053-025-10593-9 -> 3D GCN–CNN Hybrid Model for 3D Mineral Prospectivity Modeling of Porphyry- and Skarn-Type Mineralization
- https://www.researchgate.net/publication/369919958_3D_mineral_exploration_Cu-Zn_targeting_with_multi-source_geoscience_datasets_in_the_Weilasituo-bairendaba_district_Inner_Mongolia_China
- https://www.researchgate.net/publication/350817136_3D_Mineral_Prospectivity_Mapping_Based_on_Deep_Metallogenic_Prediction_Theory_A_Case_Study_of_the_Lala_Copper_Mine_Sichuan_China
- https://www.researchgate.net/publication/336771580_3D_Mineral_Prospectivity_Mapping_with_Random_Forests_A_Case_Study_of_Tongling_Anhui_China
- https://www.sciencedirect.com/science/article/pii/S0169136823005772 -> 3D mineral prospectivity modeling in the Sanshandao goldfield, China using the convolutional neural network with attention mechanism
- https://www.sciencedirect.com/science/article/pii/S0009281924001144 -> 3D mineral prospectivity modeling using deep adaptation network transfer learning: A case study of the Xiadi
Truncated — view the full README on GitHub.
artificial-intelligence
copper
data
data-science
deep-learning
geochemistry
geology
geophysics
geoscience
lithology
machine-learning
mineral-exploration
minerals
modelling
nickel
nlp
prospectivity
rocks
spectral-unmixing
stratigraphy
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