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CORRELATION ANALYSIS OF LAND SURFACE TEMPERATURE BASED ON LANDSAT 8 TIRS IMAGE WITH SRTM TERRAIN DATA IN BANDUNG CITY 2015 AND 2019

UTAMI, DEVY NUR ANNISA and Hernawati, Rika and Darmawan, Soni (2020) CORRELATION ANALYSIS OF LAND SURFACE TEMPERATURE BASED ON LANDSAT 8 TIRS IMAGE WITH SRTM TERRAIN DATA IN BANDUNG CITY 2015 AND 2019. In: Asian Association on Remote Sensing 2020.

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Abstract

Land Surface Temperature (LST) shows high spatial heterogeneity in mountainous areas due to the influence of variations in surface topography factors. The city of Bandung was chosen as the study area to conduct research and determine the LST terrain effects. The method used in this research is the Landsat 8 TIRS thermal band data which is processed using the mono-window algorithm and the SRTM elevation data for 2015 and 2019. The results show that the lowest LST value in Bandung is 21 ° C, and the highest is 34 ° C. , with an average temperature of 26 ° C. For 2019, the lowest temperature is 22 ° C, and the highest is 34 ° C with an average temperature of 28 ° C. There was an increase in LST in Bandung City from 2015 to 2019, with an increase of 1 ° C at the lowest temperature and 2 ° C at the average temperature. The distribution of the dominant temperature has also changed from 2015 to 2019. In 2015 the temperature of Bandung was dominant in the range of 24-27 ° C. In 2019 the temperature distribution will expand and it is balanced between 24-34 ° C. The direction of a consistent inverse linear trend shows the opposite value between LST and elevation. A height correlation was found between elevation and LST values. The correlation coefficient in 2015 is 0.80 and in 2019 it is 0.81 this value is classified as a strong relationship category. KEY WORDS: Land surface temperature, elevation, mono-window, Bandung city

Item Type: Conference or Workshop Item (Paper)
Subjects: G Geography. Anthropology. Recreation > G Geography (General)
Divisions: 2 Fakultas Teknik Sipil dan Perencanaan > 29201 Teknik Geodesi S1
Depositing User: Erma Sukmaida
Date Deposited: 09 Nov 2022 01:35
Last Modified: 09 Nov 2022 01:35
URI: http://eprints.itenas.ac.id/id/eprint/1991

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