Driving Factors and Future Prediction of Land Use and Cover Change Based on Satellite Remote Sensing Data by the LCM Model: A Case Study from Gansu Province, China

Driving Factors and Future Prediction of Land Use and Cover Change Based on Satellite Remote Sensing Data by the LCM Model: A Case Study from Gansu Province, China

Land use and cover change (LUCC) is an important issue affecting the global environment, climate change, and sustainable development. Detecting and predicting LUCC, a dynamic process, and its driving factors will help in formulating effective land use and planning policy suitable for local condition...

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Bibliographic Details
Main Authors: Kongming Li, Mingming Feng, Asim Biswas, Haohai Su, Yalin Niu, Jianjun Cao
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Sensors
Subjects:
remote sensing
LUCC driving factors
land use prediction
logistic regression
CA-Markov model
Online Access:https://www.mdpi.com/1424-8220/20/10/2757

Internet

https://www.mdpi.com/1424-8220/20/10/2757

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