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

Internet

http://dx.doi.org/10.1080/10106049.2023.2268059

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