| Issue |
E3S Web Conf.
Volume 496, 2024
International Conference on Energy, Infrastructure and Environmental Research (EIER 2024)
|
|
|---|---|---|
| Article Number | 03004 | |
| Number of page(s) | 6 | |
| Section | GIS and Remote Sensing in Environmental Research | |
| DOI | https://doi.org/10.1051/e3sconf/202449603004 | |
| Published online | 12 March 2024 | |
Mapping land use land cover (LUCL) and its influence on land surface temperature (LST): A case study in Dau Tieng district at Binh Duong province
1 Institute of Applied Mechanics and Informatics, Vietnam Academy of Science and Technology
2 Southern Sub-Institute of Forest Inventory and Planning
3 Institute of Biotechnology, Vietnam Academy Science & Technology
4 Nong Lam University
5 Ho Chi Minh City Institute of Resources Geography
6 Postgraduate of Resource and environmental management major, Faculty of Geography, University of Social Sciences and Humanities (HCMUSSH) HCMC National University
* Email: phuonghatran76@yahoo.com; tuancuongdialyk38@gmail.com
At present, land surface temperature (LST) is an important index in monitoring the urban heat is-land phenomenon and changes in local climate, as well as global climate. By analyzing the variation in land use land cover (LULC), we can see how changes in LULC will lead to changes in LST and understand the expansion of urbanization related to LST. This study used Landsat 8’s thermal infrared band to extract and calculate LST values in DauTieng district in the period 2015-2022. In addition, this study also classified LULC by using the Support Vector Machine algorithm, then evaluated changes in LST on cropland, forest, water surface, and impervious surface areas. The results showed that in places with dense vegetation cover, LST value was low, whereas when moving to areas with low density of vegetation and residential areas, industrial parks,… LST value gradually increased. In general, changes in LULC are important factors that cause LST to increase or decrease, thereby suggesting solutions to minimize high-temperature areas
Key words: Land surface temperature / land use land cover / Landsat 8 / support vector machine
© 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.
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