GLAD Global Surface Water Dynamics
University of Maryland Global Land Analysis and Discovery lab dataset mapping global inland surface water dynamics from Landsat satellite imagery with monthly and annual water occurrence, extent, and seasonality
glad.umd.edu
At a glance
- Region
- Global
- Coverage
- Global inland waters, Landsat-derived
- Access
- Free
- Category
- Research
What's inside
- Surface Water Dynamics
- Water Occurrence
- Water Seasonality
- Landsat Derived
- Change Detection
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: Surface Water Dynamics
- 02
Change over time
See how lakes and wetlands have grown or shrunk.
- 03
No-gauge areas
Monitor places with no ground stations.
Because it has: Landsat Derived
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
Segmentation
Map water, crops and land use pixel by pixel with deep learning.
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