Parallel investigations of remote sensing and ground-truth Lake Chad's level data using statistical and machine learning methods

Lake Chad is facing critical situations since the 1960s due to the effects of climate change and anthropogenic activities. The statistical analyses of remote sensing climate variables (i.e., evapotranspiration, specific humidity, soil temperature, air temperature, precipitation, soil moisture) and r...

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Bibliographic Details
Main Author: Kim-Ndor Djimadoumngar
Format: Article
Language:English
Published: Elsevier 2023-12-01
Series:Applied Computing and Geosciences
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2590197423000241