Long-Term Land Use/Land Cover Change Assessment of the Kilombero Catchment in Tanzania Using Random Forest Classification and Robust Change Vector Analysis

Long-Term Land Use/Land Cover Change Assessment of the Kilombero Catchment in Tanzania Using Random Forest Classification and Robust Change Vector Analysis

Information about land use/land cover (LULC) and their changes is useful for different stakeholders to assess future pathways of sustainable land use for food production as well as for nature conservation. In this study, we assess LULC changes in the Kilombero catchment in Tanzania, an important are...

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Bibliographic Details
Main Authors: Frank Thonfeld, Stefanie Steinbach, Javier Muro, Fridah Kirimi
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Remote Sensing
Subjects:
land-use/land-cover change
robust change vector analysis
kilombero
wetland
food production
random forest
multitemporal metrics
landsat
post-classification comparison
Online Access:https://www.mdpi.com/2072-4292/12/7/1057

Internet

https://www.mdpi.com/2072-4292/12/7/1057

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