Deep Learning for Vegetation Health Forecasting: A Case Study in Kenya

Deep Learning for Vegetation Health Forecasting: A Case Study in Kenya

East Africa has experienced a number of devastating droughts in recent decades, including the 2010/2011 drought. The National Drought Management Authority in Kenya relies on real-time information from MODIS satellites to monitor and respond to emerging drought conditions in the arid and semi-arid la...

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Bibliographic Details
Main Authors:	Thomas Lees, Gabriel Tseng, Clement Atzberger, Steven Reece, Simon Dadson
Format:	Article
Language:	English
Published:	MDPI AG 2022-02-01
Series:	Remote Sensing
Subjects:	machine learning deep learning drought vegetation health
Online Access:	https://www.mdpi.com/2072-4292/14/3/698

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