Geospatial Deep Learning & Earth Observation
11 repos
Deep learning models and frameworks for analyzing satellite and aerial imagery, with a focus on semantic segmentation and computer vision tasks on geospatial data. This cluster covers foundation models trained on Earth observation data, PyTorch-based tools for processing geospatial inputs, and applications like flood risk mapping and land-use classification. Repositories here provide both pre-trained models and extensible libraries for researchers and practitioners working at the intersection of remote sensing and machine learning.
Python · 9
HTML · 1
geospatial ·9,245
deep-learning ·9,221
segmentation ·7,506
geopython ·7,505
earth-observation ·5,087
machine-learning ·4,166
artificial-intelligence ·4,143
segment-anything ·4,143
remote-sensing ·3,385
data-science ·3,362
