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Search and recommend the best Google Earth Engine public datasets offline using a bilingual catalog with schema validation and comparison features.
# 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.
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