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sample-geospatial-kiro-power-pack

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What's in it

Data offered docs-verified: catalogs · imagery · vector · geocoding/routing · terrain · weather/climate · biodiversity
Coverage llm-inferred: Global (source-dependent; e.g. USGS 3DEP is US-only)
Resolution docs-verified: 1/3 arc-second for the USGS 3DEP DEM; not stated for other sources
Formats docs-verified: COG · GeoParquet · GeoJSON · glTF/GLB · 3D Tiles (.pnts) · LAZ · COPC
Access docs-verified: Mixed: Open tier for most servers, Free-Tier for some, Proprietary and credentialed for geo-warehouse and geo-commercial-imagery; licence MIT-0 per catalogue metadata

Useful for

Use cases llm-inferred: Zonal slope, aspect and elevation statistics over a site boundary from a DEM (geo-terrain dem_zonal) for drainage or civils options appraisal · Reproject and validate site boundary and survey vectors (geo-ops CRS transforms, geometry validation) before exchange with clients · Summer Sentinel-2 scene search over a site bbox (geo-stac) for pre-development land cover context · Species occurrence and OSM feature pulls (geo-biodiversity, geo-vector) as inputs to an ecological desk-study baseline
Audience llm-inferred: GIS analysts · geospatial developers · hydrologists · ecologists

Limitations

Constraints docs-verified: Foundation-model embeddings use a stand-in backend by default; real weights need a configured backend · Credentialed servers (geo-warehouse, geo-commercial-imagery, NOAA CDO, IUCN Red List) need API or cloud credentials · ERA5 is reached via the Open-Meteo archive, not a direct CDS client · Copernicus CLMS covers land-monitoring products, not raw Sentinel · Heavy compute depends on the separate aws-geo-compute peer Power and an AWS account · Without the [pdal] extra, point-cloud output is a local container and not interoperable COPC · Repository is named sample-*, so treat it as a reference implementation and assess maintenance risk

Licence: MIT-0
Authentication: Credentials via env: ACCESS_TOKEN, API_KEY, AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY, EARTHDATA_TOKEN, HF_TOKEN, OPENSEARCH_PASSWORD, OPENSEARCH_USERNAME, PC_SDK_SUBSCRIPTION_KEY, PL_API_KEY, SENTINELHUB_CLIENT_ID, SENTINELHUB_CLIENT_SECRET (README-verified)
GitHub stars: 21
Last commit: 24/09/2026
Last successful page check: 14/10/2026
Page health: healthy
Package: pypi:awslabs.roda-mcp-server
Verification: Not independently verified

Provenance & evidence

Tools/install/auth auto-extracted from README; quality score heuristic (stars, recency, tool count, licence).

Metadata observed 15/10/2026 · research sweep: sparkgeo/geo-mcp-servers