Estimating groundwater use and demand in arid Kenya through assimilation of satellite data and in-situ sensors with machine learning toward drought early action

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Abstract
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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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