The Potential of Deep Learning for Satellite Rainfall Detection over Data-Scarce Regions, the West African Savanna

The Potential of Deep Learning for Satellite Rainfall Detection over Data-Scarce Regions, the West African Savanna

Food and economic security in West Africa rely heavily on rainfed agriculture and are threatened by climate change and demographic growth. Accurate rainfall information is therefore crucial to tackling these challenges. Particularly, information about the occurrence and length of droughts as well as...

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Bibliographic Details
Main Authors:	Mónica Estébanez-Camarena, Riccardo Taormina, Nick van de Giesen, Marie-Claire ten Veldhuis
Format:	Article
Language:	English
Published:	MDPI AG 2023-04-01
Series:	Remote Sensing
Subjects:	deep learning CNN ConvLSTM rainfall detection satellite rainfall retrieval West Africa
Online Access:	https://www.mdpi.com/2072-4292/15/7/1922

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