Identifying Categorical Land Use Transition and Land Degradation in Northwestern Drylands of Ethiopia

Identifying Categorical Land Use Transition and Land Degradation in Northwestern Drylands of Ethiopia

Land use transition in dryland ecosystems is one of the major driving forces to landscape change that directly impacts the welfare of humans. In this study, the support vector machine (SVM) classification algorithm and cross tabulation matrix analysis are used to identify systematic and random proce...

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Bibliographic Details
Main Authors: Worku Zewdie, Elmar Csaplovics
Format: Article
Language:English
Published: MDPI AG 2016-05-01
Series:Remote Sensing
Subjects:
support vector machine (SVM)
NDVI
net change
swap change
systematic transition
dryland
degradation
Online Access:http://www.mdpi.com/2072-4292/8/5/408

Internet

http://www.mdpi.com/2072-4292/8/5/408

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