Spatial Relationship between the Features of Urban Form and Land Surface Temperature (Lst) of Metropolises (Case Study: Karaj City, Iran) DOI
kiyan shakarami, Masoud Zamanipoor,

Mohammadrahim Rahnama

и другие.

Опубликована: Янв. 1, 2024

Язык: Английский

A temporospatial assessment of environmental quality in urbanizing Ethiopia DOI
Jian Sun, Yang Hu, Yang Li

и другие.

Journal of Environmental Management, Год журнала: 2023, Номер 332, С. 117431 - 117431

Опубликована: Фев. 3, 2023

Язык: Английский

Процитировано

24
Investigating the relationship between land use and water quality in urban waterbodies DOI Creative Commons

Omur Faruq,

Md. Abdul Malak,

Nahrin Jannat Hossain

и другие.

Cleaner Water, Год журнала: 2025, Номер unknown, С. 100070 - 100070

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

1
Spatiotemporal assessment of environmental change in Kushtia, Bangladesh (1998–2023) using remote sensing-based environmental indices DOI
Md. Anik Hossain,

Md. Rahedul Islam,

Tamanna Yesmin

и другие.

Environmental Challenges, Год журнала: 2025, Номер 19, С. 101167 - 101167

Опубликована: Апрель 29, 2025

Язык: Английский

Процитировано

0
Assessing Human Settlement Sprawl in Mexico via Remote Sensing and Deep Learning DOI Open Access
Antonio Briseño Montes, Joaquín Salas, Elio Atenógenes Villaseñor-García

и другие.

IEEE Latin America Transactions, Год журнала: 2024, Номер 22(3), С. 174 - 185

Опубликована: Фев. 9, 2024

Understanding human settlements' geographic location and extent can support decision-making in resource distribution, urban growth policies, natural protection. This research presents an approach to assess settlement sprawl using labeled multispectral satellite image patches Convolutional Neural Networks (CNN). By training deep learning classifiers with a dataset of 5,359,442 records consisting images census data from 2010, we evaluate for settlements across the country. The study focuses on major cities Mexico, comparing ground truth results 2015 2020. EfficientNet-B7 achieved best performance ROC AUC 0.970 PR 0.972 among various CNN architectures evaluated. To sprawl, introduce information-based metric that offers advantages over entropy-based alternatives.

Язык: Английский

Процитировано

3
Livelihood vulnerability assessment of slum dwellers in Rajshahi, Bangladesh: Capital indices-based approach DOI
Shehan Tawsif, Shitangsu Kumar Paul, Md. Shohel Khan

и другие.

Journal of Environmental Studies and Sciences, Год журнала: 2024, Номер unknown

Опубликована: Окт. 17, 2024

Язык: Английский

Процитировано

2
Spatial Relationship between the Features of Urban Form and Land Surface Temperature (Lst) of Metropolises (Case Study: Karaj City, Iran) DOI
kiyan shakarami, Masoud Zamanipoor,

Mohammadrahim Rahnama

и другие.

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

0