Predicting spatio-temporal land use / land cover changes and their drivers forces based on a cellular automated Markov model in Ibb City, Yemen
Author:
Affiliation:
1. Department of Architecture & Urban Planning, Beijing University of Technology, Beijing, China
2. Department of Engineering and Architecture, Ibb University, Ibb, Yemen
Publisher
Informa UK Limited
Subject
Water Science and Technology,Geography, Planning and Development
Link
https://www.tandfonline.com/doi/pdf/10.1080/10106049.2023.2268059
Reference72 articles.
1. Assessment of land use and land cover change detection and prediction using remote sensing and CA Markov in the northern coastal districts of Tamil Nadu, India
2. Predicting the future urban growth and it's impacts on the surrounding environment using urban simulation models: Case study of Ibb city – Yemen
3. Remote Sensing-Based Urban Sprawl Modeling Using Multilayer Perceptron Neural Network Markov Chain in Baghdad, Iraq
4. Detecting and Assessing the Spatio-Temporal Land Use Land Cover Changes of Bahrain Island During 1986–2020 Using Remote Sensing and GIS
5. Remote Sensing and GIS Application for Assessment of Land Suitability Potential for Agriculture in the IBB Governorate, the Republic of Yemen
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1. Cultural Heritage Sites Risk Assessment and Management Using a Hybridized Technique Based on GIS and SWOT-AHP in the Ancient City of Ibb, Yemen;International Journal of Architectural Heritage;2024-07
2. Spatio-Temporal Differentiation and Driving Factors of Land Use and Habitat Quality in Lu’an City, China;Land;2024-06-03
3. Optimization Strategies of Sustainable Urban Land Use Planning Using a Hybridized Technique Based on SWOT-AHP, and GIS in Ibb City, Yemen;2024-03-15
4. Assessing and predicting changes of ecosystem service values in response to land use/land cover dynamics in Ibb City, Yemen: a three-decade analysis and future outlook;International Journal of Digital Earth;2024-03-11
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