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.
Planet Global Quarterly Mosaic for Q1 2026 over the affected region of coastal Venezuela — a cloud-free medium-resolution (~4.8 m) RGB basemap from before the 24 June 2026 earthquake, for before/after comparison. 40 tile Items (each with a quad thumbnail) plus a 41st Item carrying the merged whole-region COGs.
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 (mosaic used above):
mosaic — Full pre-event mosaic — display (JPEG COG) (roles: data, visual, overview)mosaic-lossless — Full pre-event mosaic — lossless (DEFLATE COG) (roles: data)thumbnail — Whole-mosaic preview (roles: thumbnail)file:size and file:checksum (sha256 multihash, 1220-prefixed) so a download can be verified.proj:code.