Global Reservoir Surface Area Dataset (GRSAD) - Huilin Gao Dataverse
Landsat-derived time series of surface area for 6,817 global reservoirs (1984-2015), corrected for cloud and terrain contamination, building on the JRC global surface water dataset. Hosted on Texas Data Repository.
dataverse.tdl.org
At a glance
- Region
- United States (Global)
- Coverage
- Global
- Access
- Free
- Category
- Academic
- Last updated
- 2024
What's inside
- reservoir surface area
- surface water extent
What you can do with it
Typical work that data of this type supports.
- 01
Storage tracking
Follow storage and releases through the season.
Because it has: reservoir surface area
- 02
Change over time
See how lakes and wetlands have grown or shrunk.
- 03
Design storms
Build rainfall intensity-duration-frequency curves for drainage design.
Where AI adds value
Ideas for machine learning and AI agents built on this kind of data.
- 01
Storage from space
Estimate volume from satellite water area and altimetry.
- 02
Release decisions
Optimise releases against inflow forecasts.
- 03
Downscaling
Turn coarse rainfall grids into field or ward scale estimates.
Machine access and documentation
Open API
Dataverse REST API for file download
Licence: Open data
Listed in our registry of open water APIs, which WaterDataGPT can query live.
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- OPERA Dynamic Surface Water Extent (DSWx-S1)Global | Free
- Adventure Scientists Global Microplastics InitiativeGlobal | Free
- APDRC CPC Global Daily PrecipitationGlobal | Free
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