Issue |
E3S Web Conf.
Volume 600, 2024
The 6th International Geography Seminar (IGEOS 2023)
|
|
---|---|---|
Article Number | 06001 | |
Number of page(s) | 10 | |
Section | Spatial Planning, Urban and Rural Environmental Geography | |
DOI | https://doi.org/10.1051/e3sconf/202460006001 | |
Published online | 29 November 2024 |
Urban Heat Island Study Based on Remote Sensing and Geographic Information System: Correlation between Land Cover and Surface Temperature
Universitas Pendidikan Indonesia, Sains Informasi Geografi, Jl. Setiabudi No.229 Bandung City, Indonesia
* Corresponding author: lilisomantri@upi.edu
Significant changes in urban environmental characteristics such as altered land use and a higher population density contribute to the formation of the urban heat island (UHI) phenomena. Remote sensing technology and Geographic Information Systems (GIS) have now become effective tools for analysing the UHI phenomenon. This research uses the literature review method. The objectives of this study were to review: 1) General studies of the UHI phenomenon, 2) UHI studies in the context of remote sensing and GIS, and 3) Application GIS and remote sensing to examine the connection between surface temperature and land cover in the context of urban heat island effects. The UHI is formed related to the change in urban structure and land cover, such as an increase in building and road surfaces and a reduction in green open areas. The UHI phenomenon has significant impacts on thermal comfort, air quality and energy efficiency in urban areas. UHI measurements can be made by analyzing Land Surface Temperature (LST). LST can giver information on change in time and space of the Earth’s surface temperature. This review can offer a more thorough comprehension of the variables influencing UHI. and its impact on the urban environment as well as a collection of technical remote sensing and GIS methods that can be applied to map the UHI phenomenon.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.