ReservoirsObservations
DAHITI Water Levels
Database for Hydrological Time Series of Inland Waters. Satellite altimetry water levels for lakes, reservoirs and rivers.
Water level time series from multi-mission altimetry, plus surface area, volume change and hypsometry for many lakes and reservoirs.
- Source
- Deutsches Geodätisches Forschungsinstitut (TUM)
- Resolution
- Virtual stations
- Data type
- Station data
- Time span
- 1992–present
- Temporal
- Satellite repeat cycle (10 to 35 days)
- Access type
- API (external) · Free account and API key
- Formats
- CSV, JSON, NetCDF
- Coverage
- Global (-180, -90, 180, 90)
- Licence
- CC BY 4.0
- Provider page
- dahiti.dgfi.tum.de/
Cite as. Schwatke, C., Dettmering, D., Bosch, W., Seitz, F. (2015). DAHITI, an innovative approach for estimating water level time series over inland waters using multi-mission satellite altimetry. HESS, 19, 4345–4364. https://doi.org/10.5194/hess-19-4345-2015
Access
linkDAHITI portal and API documentation
curl "https://hydrological.org/api/v1/datasets/dahiti/links?bbox=-75,-20,-50,5" \
-H "Accept: application/json"import requests
r = requests.get("https://hydrological.org/api/v1/datasets/dahiti/links",
params={"bbox": "-75,-20,-50,5"})
for group in r.json()["groups"]:
for link in group["links"]:
print(link["url"])const res = await fetch("https://hydrological.org/api/v1/datasets/dahiti/links?bbox=-75,-20,-50,5");
const { groups } = await res.json();
for (const g of groups) g.links.forEach(l => console.log(l.url));Also available as JSON: links · manifest · dataset record
