Predicting Urban Land Use and Mitigating Land Surface Temperature: Exploring the Role of Urban Configuration with Convolutional Neural Networks-Reference-Cited by-同舟云学术

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Predicting Urban Land Use and Mitigating Land Surface Temperature: Exploring the Role of Urban Configuration with Convolutional Neural Networks

Published:2024-09 Issue:3 Volume:150 Page:
ISSN:0733-9488
Container-title:Journal of Urban Planning and Development
language:en
Short-container-title:J. Urban Plann. Dev.

Author:

Tanoori Ghazaleh¹,Soltani Ali²^ORCID,Modiri Atoosa³

Affiliation:

1. Dept. of Urbanism, Central Tehran Branch, Islamic Azad Univ., Tehran 1477893780, Iran (corresponding author).

2. Flinders Health and Medical Research Institute (FHMRI), Flinders Univ., Bedford Park, SA 5042, Australia. ORCID: .

3. Dept. of Urbanism, Central Tehran Branch, Islamic Azad Univ., Tehran 1477893780, Iran.

Publisher

American Society of Civil Engineers (ASCE)

Link

https://ascelibrary.org/doi/pdf/10.1061/JUPDDM.UPENG-5010

Reference111 articles.

1. Urban Sprawl Evaluation Using Landscape Metrics and Black-and-White Hypothesis (Case Study: Urmia City)

2. Spatial and temporal analysis of urban heat island using Landsat satellite images;Amindin A.;Environ. Sci. Pollut. Res.,2021

3. Driving Forces behind Land Use and Land Cover Change: A Systematic and Bibliometric Review

4. Alphan H. E. Karamanli M. A Derse and C. Uslu. 2022. “Analyzing pattern features of urban/rural residential land use change: The case of the southern coast of Turkey.” Land Use Policy 122: 106348. https://doi.org/10.1016/j.landusepol.2022.106348.

5. Assessing the effect of green cover spatial patterns on urban land surface temperature using landscape metrics approach;Asgarian A.;Urban Ecosyst.,2015

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