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

Details

Language :

English

ISSN :

00489697

Volume :

831

Database :

Academic Search Index

Journal :

Science of the Total Environment

Publication Type :

Academic Journal

Accession number :

157050441

Full Text :

https://doi.org/10.1016/j.scitotenv.2022.154453