An analysis of urban sprawl growth and prediction using remote sensing and machine learning techniques-Reference-Cited by-同舟云学术

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An analysis of urban sprawl growth and prediction using remote sensing and machine learning techniques

Published:2024-08 Issue: Volume:142 Page:104988
ISSN:0895-9811
Container-title:Journal of South American Earth Sciences
language:en
Short-container-title:Journal of South American Earth Sciences

Author:

Al Mazroa Alanoud,Maashi Mashael,Kouki Fadoua,Othman Kamal M.,Salih Nahla,Elfaki Mohamed Ahmed,S Sabarunisha Begum

Funder

Umm Al-Qura University

Publisher

Elsevier BV

Reference60 articles.

1. Visualization of urban growth pattern in Chennai using geoinformatics and spatial metrics;Aithal;Journal of the Indian Society of Remote Sensing,2016

2. Urban growth management-the Saudi experience;Al-Hathloul;Habitat Int.,2004

3. MOLUSCE: Modules for Land Use Change Evaluation,2012

4. Estimating demand for industrial and commercial land use given economic forecasts;Batista e Silva;PLoS One,2014

5. The diffused city of the Italian north-east: identification of urban dynamics using cellular automata urban models;Besussi;Comput. Environ. Urban Syst.,1998

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