Driving Factors of Land Change in China’s Loess Plateau: Quantification Using Geographically Weighted Regression and Management Implications

Driving Factors of Land Change in China’s Loess Plateau: Quantification Using Geographically Weighted Regression and Management Implications

Land change is a key topic in research on global environmental change, and the restoration of degraded land is the core component of the global Land Degradation Neutrality target under the UN 2030 Agenda for Sustainable Development. In this study, remote-sensing-derived land-use data were used to ch...

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Bibliographic Details
Main Authors: Yanjiao Ren, Yihe Lü, Bojie Fu, Alexis Comber, Ting Li, Jian Hu
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:Remote Sensing
Subjects:
land change
ecological restoration
driving factors
geographically weighted regression
land management
Online Access:https://www.mdpi.com/2072-4292/12/3/453

Internet

https://www.mdpi.com/2072-4292/12/3/453

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