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 (~0.62 m, 0.5 m pixel) Pelican scenes acquired 13 August 2026 at 15:44 UTC over Buenaventura, Colombia's principal Pacific port and the largest city on the Chocó–Valle coast, about 138 km south-west of the epicentre. Three consecutive scenes from one strip form an east-west swath roughly 34 km by 15 km across the port, the Bahía de Buenaventura frontage and the island city centre. Visual, pansharpened and usable-data mask products for port-infrastructure and building-level damage assessment. This is the first Pelican collection in this catalog; it follows the SkySat asset vocabulary, with two sensor differences worth noting — the pansharpened product is 6-band (SkySat is 4) and carries no eo:bands in Planet's delivery, so band identities are not described in the metadata. Two caveats limit quantitative use. Cloud is heavy and this is the cloudiest collection in the catalog: 47%, 55% and 39% cloud, leaving only 37%, 29% and 51% of each scene clear — expected for one of the wettest coastlines on earth, but it means usable coverage is patchy and the UDM2 is essential. And two of the three scenes report pl:ground_control = false, so their absolute geolocation is uncorrected and may be offset by more than a pixel at this resolution; co-register before differencing against any other source. 3 scenes; each Item carries the available visual, pansharpened, and udm2 assets.
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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
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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)file:size and file:checksum (sha256 multihash, 1220-prefixed) so a download can be verified.proj:code.