Aditya937172/SATQUERYAI

0

stars

1

commits

Python

primary language

Sep 9, 2026

updated

README

SatQuery

SatQuery turns Earth-observation questions and satellite imagery into inspectable results, evidence, maps and scientific exports. Earth supports location-based investigations; Scientific supports uploaded images; Compare supports temporal and optical/SAR pairs.

AgentScope and GLM interpret the request, select tools and synthesize evidence. Remote-sensing specialists and deterministic GIS tools produce imagery observations and measurements.

CapabilityFrozen method
Attribute/counting VQARSCoVLM
Infrastructure/spatial VQARSThinker
Scene/presence/land-use/general VQAVRSBench-finetuned GeoChat
CaptionGeoChat
GroundingRSThinker + consensus and crop verification
Building changeTinyCD
Generic surface changeDeterministic SatQuery pipeline
Optical/SARCROMA
Data discoveryBhoonidhi
ScienceCRS, reprojection, registration, nodata, vegetation/flood and area tools

Scientific rejection, technical failure, unknown confidence and NOT_ANALYZED support remain distinct. Judge Mode offers LIVE and VALIDATED REPLAY explicitly. PDF, CSV, GeoJSON and GeoTIFF are available only when a stored result supports their scientific meaning.

Quick start

Password-protected accounts and the Earth map's + polygon tool, administrative outlines and per-account cache glow are documented in Accounts and map selection. Initial setup reserves account 1 for Aditya Singh (aditya); choose its password in the UI.

Requirements: Python 3.12+ (accepted local profile uses 3.13), Node.js 22+, npm and disk space for bounded raster/model caches. Run from this repository root:

python -m venv .venv
.\.venv\Scripts\Activate.ps1
python -m pip install -r requirements.txt
python -m pip install torch==2.9.1 einops==0.8.2
Copy-Item .env.example .env
python -m uvicorn app.main:app --reload --port 8765

Copy the environment file only on first setup. Linux/macOS use source .venv/bin/activate and cp. Configure live credentials using environment documentation. Live reasoning needs Bedrock GLM access, remote perception needs SatQuery's Modal apps, and acquisition needs Bhoonidhi. CROMA runs locally with its separately installed dependencies.

In a second terminal:

cd frontend
npm ci
Copy-Item .env.example .env.local
npm run dev

Use Vite's printed URL; the development backend is on port 8765. No PostgreSQL is required. Results and evidence are file-backed, with one production worker.

Source checkout

This repository excludes credentials, downloaded satellite imagery, model weights, benchmark image assets, generated screenshots, runtime evidence, and local outputs. Environment examples contain placeholders; supply your own values in an ignored .env file. Live investigations acquire their required data at runtime. Historical replay and visual-fixture scenarios need their separately prepared evidence. Docker starts without a replay seed; mount one and set SATQUERY_EVIDENCE_SEED explicitly when replay is needed. The download and benchmark preparation scripts are included, but their generated data is not.

Production and verification

Deployment covers built same-origin serving, portable replay evidence, Docker and health. The accepted local production target is http://127.0.0.1:8765; no public hosting domain is claimed.

python -m pytest -q
python -m compileall -q app scripts
cd frontend
npm run verify

See testing. Step 6B.4B passed real Chrome, 464 backend tests, 137 frontend tests and four browser download formats. Final release evidence is in submission.

Documentation and judging

Open /judge for six registered scenarios. Choose live execution or a checksum-verified prior result. Replay is never labeled live. V1–V4 remain frozen; no V5 exists. The later private VQA diagnostic is separate from locked V4.

Repository

app/: API, agent, science, providers, exports and Judge. frontend/: workspace. services/: isolated model services. tests/ and scripts/: verification. benchmarks/: benchmark code and manifests; image assets are excluded. deploy/runtime-evidence/: optional local evidence seed, excluded from Git. docs/ and submission/: release documentation. tmp/: local runtime/research storage, excluded from Git.

This release targets a trusted SIH/research demonstration. VQA remains imperfect, external services can fail, and some sensors remain AMBER. Original SatQuery code has no owner-selected open-source license grant; third-party model/data rights are separate. Consult NOTICE before redistribution.

Contributors

Aditya937172

1 commits

Aditya937172/SATQUERYAI

0

stars

1

commits

Python

primary language

Sep 9, 2026

updated

README

SatQuery

SatQuery turns Earth-observation questions and satellite imagery into inspectable results, evidence, maps and scientific exports. Earth supports location-based investigations; Scientific supports uploaded images; Compare supports temporal and optical/SAR pairs.

AgentScope and GLM interpret the request, select tools and synthesize evidence. Remote-sensing specialists and deterministic GIS tools produce imagery observations and measurements.

CapabilityFrozen method
Attribute/counting VQARSCoVLM
Infrastructure/spatial VQARSThinker
Scene/presence/land-use/general VQAVRSBench-finetuned GeoChat
CaptionGeoChat
GroundingRSThinker + consensus and crop verification
Building changeTinyCD
Generic surface changeDeterministic SatQuery pipeline
Optical/SARCROMA
Data discoveryBhoonidhi
ScienceCRS, reprojection, registration, nodata, vegetation/flood and area tools

Scientific rejection, technical failure, unknown confidence and NOT_ANALYZED support remain distinct. Judge Mode offers LIVE and VALIDATED REPLAY explicitly. PDF, CSV, GeoJSON and GeoTIFF are available only when a stored result supports their scientific meaning.

Quick start

Password-protected accounts and the Earth map's + polygon tool, administrative outlines and per-account cache glow are documented in Accounts and map selection. Initial setup reserves account 1 for Aditya Singh (aditya); choose its password in the UI.

Requirements: Python 3.12+ (accepted local profile uses 3.13), Node.js 22+, npm and disk space for bounded raster/model caches. Run from this repository root:

python -m venv .venv
.\.venv\Scripts\Activate.ps1
python -m pip install -r requirements.txt
python -m pip install torch==2.9.1 einops==0.8.2
Copy-Item .env.example .env
python -m uvicorn app.main:app --reload --port 8765

Copy the environment file only on first setup. Linux/macOS use source .venv/bin/activate and cp. Configure live credentials using environment documentation. Live reasoning needs Bedrock GLM access, remote perception needs SatQuery's Modal apps, and acquisition needs Bhoonidhi. CROMA runs locally with its separately installed dependencies.

In a second terminal:

cd frontend
npm ci
Copy-Item .env.example .env.local
npm run dev

Use Vite's printed URL; the development backend is on port 8765. No PostgreSQL is required. Results and evidence are file-backed, with one production worker.

Source checkout

This repository excludes credentials, downloaded satellite imagery, model weights, benchmark image assets, generated screenshots, runtime evidence, and local outputs. Environment examples contain placeholders; supply your own values in an ignored .env file. Live investigations acquire their required data at runtime. Historical replay and visual-fixture scenarios need their separately prepared evidence. Docker starts without a replay seed; mount one and set SATQUERY_EVIDENCE_SEED explicitly when replay is needed. The download and benchmark preparation scripts are included, but their generated data is not.

Production and verification

Deployment covers built same-origin serving, portable replay evidence, Docker and health. The accepted local production target is http://127.0.0.1:8765; no public hosting domain is claimed.

python -m pytest -q
python -m compileall -q app scripts
cd frontend
npm run verify

See testing. Step 6B.4B passed real Chrome, 464 backend tests, 137 frontend tests and four browser download formats. Final release evidence is in submission.

Documentation and judging

Open /judge for six registered scenarios. Choose live execution or a checksum-verified prior result. Replay is never labeled live. V1–V4 remain frozen; no V5 exists. The later private VQA diagnostic is separate from locked V4.

Repository

app/: API, agent, science, providers, exports and Judge. frontend/: workspace. services/: isolated model services. tests/ and scripts/: verification. benchmarks/: benchmark code and manifests; image assets are excluded. deploy/runtime-evidence/: optional local evidence seed, excluded from Git. docs/ and submission/: release documentation. tmp/: local runtime/research storage, excluded from Git.

This release targets a trusted SIH/research demonstration. VQA remains imperfect, external services can fail, and some sensors remain AMBER. Original SatQuery code has no owner-selected open-source license grant; third-party model/data rights are separate. Consult NOTICE before redistribution.

Contributors

Aditya937172

1 commits

Languages

Python

78.1%

TypeScript

13.5%

JavaScript

4.7%

CSS

3.5%