Estimating groundwater use and demand in arid Kenya through assimilation of satellite data and in-situ sensors with machine learning toward drought early action
Authors:
Open Access
- 25 March 2022
- journal article
- research article
- Published by Elsevier in Science of The Total Environment
- Vol. 831, 154453
Abstract
No abstract availableKeywords
Funding Information
- National Aeronautics and Space Administration (80NSSC20K0150)
- United States Agency for International Development (AID-615-A-15-00008)
- National Science Foundation (1738321)
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