Maize Cropping Systems Mapping Using RapidEye Observations in Agro-Ecological Landscapes in Kenya

Maize Cropping Systems Mapping Using RapidEye Observations in Agro-Ecological Landscapes in Kenya

Cropping systems information on explicit scales is an important but rarely available variable in many crops modeling routines and of utmost importance for understanding pests and disease propagation mechanisms in agro-ecological landscapes. In this study, high spatial and temporal resolution RapidEy...

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Bibliographic Details
Main Authors:	Kyalo Richard, Elfatih M. Abdel-Rahman, Sevgan Subramanian, Johnson O. Nyasani, Michael Thiel, Hosein Jozani, Christian Borgemeister, Tobias Landmann
Format:	Article
Language:	English
Published:	MDPI AG 2017-11-01
Series:	Sensors
Subjects:	RapidEye bi-temporal cropping systems random forest Kenya
Online Access:	https://www.mdpi.com/1424-8220/17/11/2537

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