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Built to be depended on.
A monitored, stable API with predictable rate limits and SLAs. Plug it into a production pipeline without babysitting it.
Darly indexes national lidar programs into normalized STAC Items with consistent metadata, coverage footprints, and streamable COG assets, so GIS teams can find and load elevation data directly from Python, QGIS, or production pipelines.
Darly indexes public elevation programs country by country, preserving source provenance while normalizing metadata, footprints, and COG assets behind one API.
National lidar programs are scattered across portals with inconsistent formats, flaky uptime, and no unified search. Darly indexes them once, normalizes the metadata, and serves them as a single dependable API.
A monitored, stable API with predictable rate limits and SLAs. Plug it into a production pipeline without babysitting it.
Every public national lidar program we can index, plus global DTM and DSM mosaics derived from them — growing month over month.
Normalized STAC metadata, projections, and COG assets — so a query against USGS looks identical to a query against NRCan or INEGI.
Browse USA & Canada free — no signup required. Pro adds the full catalog, including Mexico, plus higher rate limits — coming soon. Join the waitlist to hear first.