Minnesota LakeBrowser (UMN Remote Sensing)
University of Minnesota satellite-derived lake water-clarity and trophic-state browser for thousands of Minnesota lakes, mapping inland-water quality over multiple decades from Landsat imagery.
lakes.rs.umn.edu
At a glance
- Region
- United States (North America)
- Coverage
- Minnesota
- Access
- Free
- Category
- Academic
- Last updated
- 2024
What's inside
- lake water clarity
- trophic state
- remote sensing
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: lake water clarity
- 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: remote sensing
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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