IGEOS International Geography Seminar 2018 | |
Correlation between Land Surface Temperature and Vegetation Greenness using Multi-temporal Images | |
Himayah, S.^1 ; Ismail, A.^1 ; Nandi^1 ; Ridwana, R.^1 ; Arrasyid, R.^1 ; Affriani, A.R.^1 ; Ihsan, M.^1 | |
Department of Geography Education, Universitas Pendidikan Indonesia, Jl. Dr. Setiabudi 229, Bandung | |
40154, Indonesia^1 | |
关键词: Built-up areas; Land surface; Multi-temporal image; Normalized difference vegetation index; Remote sensing imagery; Surface temperature changes; Temperature differences; Vegetation greenness; | |
Others : https://iopscience.iop.org/article/10.1088/1755-1315/286/1/012043/pdf DOI : 10.1088/1755-1315/286/1/012043 |
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来源: IOP | |
【 摘 要 】
Urban areas tend to have significant temperature differences with the surrounding area. The city of Bandung is surrounded by mountains and forms the Bandung Basin. Land cover differences between Bandung City and surrounding area caused a temperature differences that can identified with remote sensing imagery. The aim of this research are to analyse the change of land surface temperature and the vegetation greenness level in Bandung Basin using Landsat multi-temporal image also to identify correlation between surface temperature change with greenness level in Bandung Basin. In Bandung Basin, there is an increase in temperature in various land covers (Vegetation in flat areas, Vegetation in steep and high altitude areas, Water, Built-up area, and Open Land area) from 1990-2018. Meanwhile, there is less green vegetation in Bandung Basin from 1990-2018. The results of the analysis show a better correlation between Land Surface Tempertare (LST) and Simple Ratio Index (SRI) than the correlation between Land Surface Tempertare (LST) and Normalized Difference Vegetation Index (NDVI). The conclution of this research that preservation of vegetated areas can be done in Bandung Basin to address the increasing of Land Surface Temperature.
【 预 览 】
Files | Size | Format | View |
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Correlation between Land Surface Temperature and Vegetation Greenness using Multi-temporal Images | 1746KB | download |