Predicting spatio-temporal land use / land cover changes and their drivers forces based on a cellular automated Markov model in Ibb City, Yemen

Predicting spatio-temporal land use / land cover changes and their drivers forces based on a cellular automated Markov model in Ibb City, Yemen

Land use / land cover (LULC) change profoundly impacts regional natural, economic, and ecological development; However, no study has been conducted to classify LULC changes in Ibb city using high-resolution satellite images. This study aims to evaluate and predict LULC changes and their driving forc...

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Bibliographic Details
Main Authors:	Abdulkarem Qasem Dammag, Dai Jian, Guo Cong, Basema Qasim Derhem, Hafiza Zara Latif
Format:	Article
Language:	English
Published:	Taylor & Francis Group 2023-12-01
Series:	Geocarto International
Subjects:	lulc change ca-markov model driving forces change detection predict lulc change ibb city
Online Access:	http://dx.doi.org/10.1080/10106049.2023.2268059

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