JOURNAL ARTICLE
Identification of Critical Urban Clusters for Placating Urban Heat Island Effects over Fast-Growing Tropical City Regions: Estimating the Contribution of Different City Sizes in Escalating UHI Intensity.
Published In: Photogrammetric Engineering & Remote Sensing, 2023, v. 89, n. 11. P. 667 1 of 3
Database: Applied Science & Technology Source Ultimate 2 of 3
Authored By: Dutta, Kanaya; Basu, Debolina; Agrawal, Sonam 3 of 3
Abstract
The incessant rise of artificial surfaces has increased the temperatures of cities, distressing urban health and sustainability. Fast-growing tropical cities particularly call for an understanding of this phenomenon, known as the urban heat island (UHI). The present study was conducted to detect UHI dynamics over the National Capital Region of India. Stretching over more than 32 000 km2, this region consists of urban centers of varying sizes. Landsat thermal bands were processed to extract temperature patterns between 1999 and 2019. Urban climate change was prominent, as a 2349-km2 expansion in UHI area was spotted. Urban clusters of different sizes were demarcated by applying the k-nearest neighbor algorithm on the normalized difference building index maps. This empirical analysis helped to form a logarithmic relation between city size and UHI intensity. Observed results set a framework to assess the thermal environment of numerous urban centers from any tropical country. UHI intensity values for various city sizes were computed, as they were crucial to decide the outdoor comfort zones based on the base temperature conditions of other cities. Further, the critical zones in each urban cluster were identified using the vegetation index, and scopes of landscaping were suggested based on the observed building morphologies of different local climate zones. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Photogrammetric Engineering & Remote Sensing. 2023/11, Vol. 89, Issue 11, p667
- Document Type:Article
- Subject Area:Environmental Sciences
- Publication Date:2023
- ISSN:00991112
- DOI:10.14358/PERS.23-00009R2
- Accession Number:173135611
- Copyright Statement:Copyright of Photogrammetric Engineering & Remote Sensing is the property of ASPRS: The Imaging & Geospatial Information Society and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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