Planet makes available select imagery for major disaster events, including major earthquakes, floods, storms, wildfires, and human-made disasters. These are available here in a STAC Catalog under a CC-BY-NC license. See the Planet Disaster Data page for more information.
You are looking at a Portolan / STAC collection (collection.json, STAC 1.1.0, Portolan profile v0.1.0) — inside Disaster Data Releases from Planet Labs PBC: Planet Crisis Response imagery for major disaster events.
Pre-event baseline from the Planet global quarterly basemap for Q2 2026 (imagery acquired 1 April – 1 July 2026), covering the earthquake-affected region of western Colombia at ~4.8 m ground sample distance. 93 quads span the Pacific cordillera from Chocó through Valle del Cauca and Cauca to Risaralda, all fully covered, providing a cloud-free reference surface for change detection against the post-event PlanetScope and SkySat imagery. Quads are true-colour RGB with an alpha band, in Web Mercator (EPSG:3857). 93 quads.
Everything is plain HTTPS — no credentials, no signing, no request-payer.
Two caveats worth knowing before you write a fetch loop:
Python-urllib User-Agent. Send a
browser or curl UA if you use urllib; requests, curl, GDAL/rasterio, rio-tiler and
DuckDB all work as-is.aws s3 ls; navigate the STAC
links instead — every object links to its parent, children and items.Each collection publishes a STAC-GeoParquet mirror of its items — one row per item, with geometry and all properties. Query it directly, no download:
That is almost always faster than walking the rel:"item" links, which are there for
STAC clients and for humans clicking through the browser.
Every raster is a cloud-optimized GeoTIFF, so read the window you need rather than the file:
Asset keys on each item (visual used above):
visual — Visual (true-colour RGB) basemap quad COG (roles: data, visual)thumbnail — Thumbnail (roles: thumbnail)file:size and file:checksum (sha256 multihash, 1220-prefixed) so a download can be verified.proj:code.