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 catalog (catalog.json, STAC 1.1.0, Portolan profile v0.1.0) — the root of this catalog: Planet Crisis Response imagery for major disaster events.
Planet Crisis Response Program imagery for major disaster events — earthquakes, floods, storms, wildfires and human-made disasters — as a single browsable STAC / Portolan catalog. Each event is a self-contained sub-catalog with pre- and post-event high-resolution COGs (visual, pansharpened-analytic and usable-data masks), organised by affected location. Imagery © Planet Labs PBC, licensed CC-BY-NC-4.0 (non-commercial).
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../colombia-earthquake-2026-08-10/catalog.json./gironde-wildfire-2026/catalog.json./venezuela-earthquake-2026-06-24/catalog.json./philippines-earthquake-2026-06-08/catalog.json./hurricane-melissa-2025/catalog.jsonfile:size and file:checksum (sha256 multihash, 1220-prefixed) so a download can be verified.proj:code.