Urban Growth Forecast Using Machine Learning Algorithms and GIS-Based Novel Techniques: A Case Study Focusing on Nasiriyah City, Southern Iraq

Urban Growth Forecast Using Machine Learning Algorithms and GIS-Based Novel Techniques: A Case Study Focusing on Nasiriyah City, Southern Iraq

Land use and land cover changes driven by urban sprawl has accelerated the degradation of ecosystem services in metropolitan settlements. However, most optimisation techniques do not consider the dynamic effect of urban sprawl on the spatial criteria on which decisions are based. In addition, integr...

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Bibliographic Details
Main Authors: Sadeq Khaleefah Hanoon, Ahmad Fikri Abdullah, Helmi Z. M. Shafri, Aimrun Wayayok
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:ISPRS International Journal of Geo-Information
Subjects:
machine learning
urban growth prediction
UGBs
ANN-CA
random forest
Iraq
Online Access:https://www.mdpi.com/2220-9964/12/2/76

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