Detecting, Analyzing, and Predicting Land Use/Land Cover (LULC) Changes in Arid Regions Using Landsat Images, CA-Markov Hybrid Model, and GIS Techniques

Detecting, Analyzing, and Predicting Land Use/Land Cover (LULC) Changes in Arid Regions Using Landsat Images, CA-Markov Hybrid Model, and GIS Techniques

Understanding the change dynamics of land use and land cover (LULC) is critical for efficient ecological management modification and sustainable land-use planning. This work aimed to identify, simulate, and predict historical and future LULC changes in the Sohag Governorate, Egypt, as an arid region...

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Bibliographic Details
Main Authors: Salman A. H. Selmy, Dmitry E. Kucher, Gintautas Mozgeris, Ali R. A. Moursy, Raimundo Jimenez-Ballesta, Olga D. Kucher, Mohamed E. Fadl, Abdel-rahman A. Mustafa
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Remote Sensing
Subjects:
remote sensing
LULC classification
LULC changes
CA-Markov model
LULC projection
land-use planning
Online Access:https://www.mdpi.com/2072-4292/15/23/5522

Internet

https://www.mdpi.com/2072-4292/15/23/5522

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