ELEVATION DATA · STAC API

Global public lidarthrough one API.

Just need elevationsElevations for any point or path as JSON, or any area as a composite GeoTIFF. The source is always named.Start free, get an API key →Want the source dataSearch one catalog across national lidar programs and stream the tiles.Browse the datasets, no key needed →

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▸ Why Darly

Convenience on top. Control all the way down.

Elevation API

The number, for any point, path, or area.

Used for Route and trail profiles, flood and drainage checks, solar and antenna siting

PointBatchPathComposite GeoTIFF

Normalized STAC foundation

Pick your sources and stream the tiles.

Used for Terrain models and 3D scenes, ML training data, GIS and hydrology analysis

SearchMetadataCoverageCOGs

Public elevation programs

National lidar and global models, as published.

Browse the datasets

▸ Developers

One API. Elevation lookups and STAC search.

Plain HTTP. Or point an LLM at llms.txt.

API key required · Free tier available

Elevation in one call

curl "https://api.darly.io/v1/elevation/point?lat=45.51&lon=-73.56" \
  -H "X-API-Key: $DARLY_API_KEY"

import requests

resp = requests.get(
    "https://api.darly.io/v1/elevation/point",
    params={"lat": 45.51, "lon": -73.56},
    headers={"X-API-Key": DARLY_API_KEY},
)
print(resp.json()["result"]["elevation"])

const resp = await fetch(
  "https://api.darly.io/v1/elevation/point?lat=45.51&lon=-73.56",
  { headers: { "X-API-Key": process.env.DARLY_API_KEY } },
)
const { result } = await resp.json()
console.log(result.elevation)

{
  "status": "OK",
  "result": {
    "lat": 45.51,
    "lon": -73.56,
    "elevation": 36.42,
    "collection": "can-nrcan-hrdem-1m",
    "vertical_datum": "egm2008",
    "surface": "dtm",
    "resolution": 1.0
  }
}

Example result · Montréal

22.6 m elevation

NRCan HRDEM · 1 m DTM

Elevation API reference

Catalog search · No key required

The catalog is just STAC

from pystac_client import Client

catalog = Client.open("https://api.darly.io")
search = catalog.search(
    collections=["can-nrcan-hrdem-1m"],
    bbox=[-123.3, 49.1, -122.9, 49.4],
    max_items=5,
)
for item in search.items():
    print(item.id, item.assets["dtm"].href)

curl -X POST "https://api.darly.io/search" \
  -H "Content-Type: application/json" \
  -d '{
    "collections": ["can-nrcan-hrdem-1m"],
    "bbox": [-123.3, 49.1, -122.9, 49.4],
    "limit": 5
  }'

const resp = await fetch("https://api.darly.io/search", {
  method: "POST",
  headers: { "Content-Type": "application/json" },
  body: JSON.stringify({
    collections: ["can-nrcan-hrdem-1m"],
    bbox: [-123.3, 49.1, -122.9, 49.4],
    limit: 5,
  }),
})
const { features } = await resp.json()

Example result · Vancouver

1 matching terrain tile

can-nrcan-hrdem-1m · DTM COG

STAC API reference

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