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 (~0.66 m) SkySat collects acquired 18 August 2026 at 20:00 UTC, eight days after the mainshock, over rural Chocó roughly 26 km south-south-west of Quibdó and about 91 km north-west of the epicentre. Two adjacent collects covering the valley floor and surrounding slopes, the western frame extending to -76.855 and the eastern to -76.653. Visual, pansharpened and unusable-data-mask products. Observing conditions are the best of any SkySat coverage in this catalog: cloud is 10%, clear fraction 80%, and the 20:00 UTC pass is 15:00 local, giving a 47.6 degree sun elevation — short shadows and even illumination across both frames, in contrast to the 10 and 13 August Quibdó collects where a low morning sun and pervasive haze left only about 4% of each footprint fully clear. That makes this pair the most suitable SkySat data here for automated differencing and for interpretation of terrain and small structures, though it images a different target from the Quibdó collects and so does not provide a same-scene repeat with them. Extensive pale alluvial workings and bare channel deposits are visible along the river through both frames; these are a long-standing feature of this part of Chocó and should not be read as earthquake damage without a pre-event comparison — the only pre-event coverage in this catalog is the Q2 2026 basemap at ~4.8 m, roughly seven times coarser than these collects. Unlike the other SkySat collections in this catalog these Items carry no UDM2 mask, only the single-band UDM: the delivery was ordered as the visual and pansharpened bundles rather than pansharpened_udm2. 2 scenes; each Item carries the available visual, pansharpened, 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)udm — Unusable Data Mask (UDM) (roles: data, snow-ice, cloud, cloud-shadow)This collection carries no udm2; use the single-band udm for masking. Every other
SkySat collection in this catalog has both.
file:size and file:checksum (sha256 multihash, 1220-prefixed) so a download can be verified.proj:code.