Published November 28, 2023
| Version v0.0.3
Journal article
Open
Using knowledge-guided machine learning to assess patterns of areal change in waterbodies across the contiguous US: Code
Authors/Creators
- 1. Virginia Tech
- 2. University of California Davis
- 3. Dundalk Institute of Technology
- 4. McGill University
- 5. The University of Vermont
- 6. Rensselaer Polytechnic Institute
- 7. City University of New York
- 8. Northern Region Water Board
- 9. University of Minnesota
- 10. Los Alamos National Laboratory
- 11. University of Wisconsin - Madison
- 12. Cary Institute of Ecosystem Studies
Description
Using knowledge-guided machine learning to assess patterns of areal change in waterbodies across the contiguous US
Files
GLEON/kgml_waterbody-area-v0.0.3.zip
Files
(5.3 MB)
| Name | Size | Download all |
|---|---|---|
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md5:ebd3953e86732b039e78fd0fc0fdf6a4
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Additional details
Related works
- Is supplement to
- Software: https://github.com/GLEON/kgml_waterbody-area/tree/v0.0.3 (URL)