Gee Minimal Test

Search, compare, and recommend Google Earth Engine datasets from an offline bilingual catalog with schema validation and curated overrides.

gee-dataset-intelligence

Search, filter, compare, recommend, and explain Google Earth Engine (GEE) public datasets using a bundled bilingual official catalog.

Capabilities

This skill provides:

• Local dataset catalog query (offline, 1900+ GEE datasets in bilingual)
• Schema validation (CMR UMM JSON, GEE STAC, EE catalog snapshot)
• Comparison matrix (between GEE datasets, band specs, providers)
• Recommendation engine (AOI + time + bands -> best dataset)
• Audit-overrides (curated corrections on top of upstream catalog)

Usage

bash

# 1. audit / refresh (offline)
python gee_dataset_intelligence.py audit

# 2. search by keyword
python gee_dataset_intelligence.py search "sentinel"

# 3. compare two datasets
python gee_dataset_intelligence.py compare COPERNICUS/S2 LANDSAT/LC08

# 4. get recommendation
python gee_dataset_intelligence.py recommend --aoi 116 39 117 41 --time 2024-01-01,2024-12-31 --bands nir,red

Catalog sources

Bundled assets/catalog.jsonl.xz.base64.txt is sourced from GEE public catalog snapshot (read-only mirror). License: GEE Terms of Service.

Auth

Optional: GEE service account (Earth Engine asset upload). Set GOOGLE_APPLICATION_CREDENTIALS env var. Local catalog queries do not require auth.