Integrating random forest and morphological spatial pattern analysis for predicting future land surface temperature dynamics: insights from urbanizing Saudi Arabia-Reference-Cited by-同舟云学术

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Integrating random forest and morphological spatial pattern analysis for predicting future land surface temperature dynamics: insights from urbanizing Saudi Arabia

Published:2024-01 Issue:1 Volume:39 Page:
ISSN:1010-6049
Container-title:Geocarto International
language:en
Short-container-title:Geocarto International

Author:

Ali A. Shohan Ahmed¹,Hang Hoang Thi²,Bindajam Ahmed Ali¹,J. Alshayeb Mohammed¹,Mallick Javed³,Abdo Hazem Ghassan⁴^ORCID

Affiliation:

1. Department of Architecture, College of Architecture and Planning, King Khalid University, Abha, Kingdom of Saudi Arabia

2. Department of Geography, Faculty of Natural Science, Jamia Millia Islamia, New Delhi, India

3. Department of Civil Engineering, College of Engineering, King Khalid University, Abha, Kingdom of Saudi Arabia

4. Geography Department, Faculty of Arts and Humanities, Tartous University, Tartous, Syria

Funder

Deanship of Scientific Research at King Khalid University

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/10106049.2024.2381580

Reference86 articles.

1. Modeling Land Surface Temperature with a Mono-Window Algorithm to Estimate Urban Heat Island Intensity in an Expanding Urban Area

2. LULC analysis of urban spaces using Markov chain predictive model at Ranchi in India

3. Study of the Urban Heat Island (UHI) Using Remote Sensing Data/Techniques: A Systematic Review

4. Quantification of Urban Sprawl for Past-To-Future in Abha City, Saudi Arabia

5. An assessment of the impact of urbanization and land use changes in the fast-growing cities of Saudi Arabia

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