| Issue |
E3S Web Conf.
Volume 468, 2023
ICST UGM 2023 - The 4th Geoscience and Environmental Management Symposium
|
|
|---|---|---|
| Article Number | 10009 | |
| Number of page(s) | 8 | |
| Section | Urban-Rural Resources and Land Use Management | |
| DOI | https://doi.org/10.1051/e3sconf/202346810009 | |
| Published online | 21 December 2023 | |
The Growth of Urban Heat Island Effect Monitored in a Rapidly Developing City of Lombok Island
Department of Environmental Geography, Faculty of Geography, Universitas Gadjah Mada, Yogyakarta, Indonesia
* Corresponding author: andung.geo@ugm.ac.id
The study aims to monitor urban development around Mataram City and the correlation between Urban Heat Island. Also, analyze the vegetation and built-up changes surrounding Mataram City with Land Surface Temperature (LST) growth. The boundary of the study location is a 25-kilometer radius from the Mataram City centroid. The data used in this research is Landsat 8 Surface Reflectance for the period June-September in 2013, 2019 and 2023 obtained from Google Earth Engine. The Random Forest method is used to obtain land use classification with urban, rice fields, dry land, water bodies, and vegetation. NDBI values are processed from Shortwave infrared (SWIR) and Near-infrared (NIR), NDVI from Near-infrared (NIR) and Red, and LST from thermal bands. The data processing results indicate that Mataram City and its neighboring areas are showing growth, marked by rising NDBI and LST values. This growth is characterized by an expansion of built-up areas to the north, east, and south especially rings 4 and 5, simultaneously by higher NDBI values. Additionally, there is a decrease in vegetation cover, particularly in lowland areas within these rings, leading to a decline in NDVI values. Areas with increased NDBI values also show an increase in LST.
Key words: Urban Heat Island / Land Surface Temperature (LST) / Normalized Difference Built-Up Index (NDBI) / Normalized Difference Vegetation Index (NDVI) / Random Forest
© The Authors, published by EDP Sciences, 2023
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.