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.
Very-high-resolution (~0.8 m) SkySat collects acquired 11 August 2026 at 12:44 UTC, about 24 hours after the mainshock, over Cali and the surrounding Valle del Cauca lowlands. Three adjacent collects forming a single continuous strip running north-east to south-west from Palmira across the Cali metropolitan area to the Farallones foothills. Visual, pansharpened, and usable-data mask products for building-level and infrastructure damage assessment. All three collects report 0% cloud cover and the UDM2 confirms cloud at or below 0.01%, but light haze covers 2%, 12% and 6% of the valid pixels of u0001, u0002 and u0003 respectively — check the UDM2 light-haze band before radiometric work. Note also the oblique acquisition geometry — 25.6-28.2 degrees off-nadir with a 23.7 degree sun elevation — which produces pronounced building lean and long shadows; account for both before differencing against the near-nadir pre-event basemap. The footprint lies roughly 160 km south of the epicentre, covering the largest population centre within the shaking footprint rather than the epicentral area itself. 3 scenes; each Item carries the available visual, pansharpened, udm2, and udm assets.
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) ortho COG (roles: data, visual)pansharpened — Pansharpened multiband ortho COG (roles: data)udm2 — Usable Data Mask (UDM2) (roles: data, snow-ice, cloud, cloud-shadow)udm — Unusable Data Mask (UDM) (roles: data, snow-ice, cloud, cloud-shadow)file:size and file:checksum (sha256 multihash, 1220-prefixed) so a download can be verified.proj:code.