TY - GEN
T1 - Land surface temperature identification based on data of landsat 8 on batam Island
AU - Gustin, Oktavianto
AU - Manik, Rona Uly
AU - Rassarandi, Farouki Dinda
AU - Roziqin, Arif
AU - Isya, Noorlaila Hayati
AU - Krisna, Trismono Candra
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/10/7
Y1 - 2020/10/7
N2 - Key parameters of the earth's surface through the exchange of energy and water with air are called the Land Surface Temperature (LST). This phenomenon is important to be monitored since LST can affect the global climate.LST is one of the parameters of energy balance on the surface by using the band 10, 5, and 4, resulting in the vegetation index (VI) green level parameter. It is done through satellite image analysis to calculate semi-emissivity using the Normalized Difference Vegetation Index (NDVI) algorithm because NDVI is more sensitive to chlorophyll based on the contraction between the maximum absorption of chlorophyll, red wavelength, and maximum reflectance, infrared caused by leaf cell structure. So that the effect of the atmosphere does not have a major effect on chlorophyll scattering, the NDVI algorithm is combined with the value of the soil emissivity sensor to identify the Land Surface Temperature. The sampling method of LST is conducted by Taro Yamane on March 24, 2019 aimed to find the distribution of sample points to be carried out in the field regarding the results of the identification of LST Landsat 8 image data.Based on the LST Landsat 8 image in Batam Island on March 24, 2019, there were 6 populations spread over 36 sample points with the highest temperature of 33.49 0C, the lowest temperature of 18.230C and the average temperature of 28.620C. We found the correlation coefficient of 0.36263 for the relationship between identification of LST Landsat 8 images and the ground-measured LST as a validation, this value includes sufficient/moderate correlation in the Pearson product-moment.
AB - Key parameters of the earth's surface through the exchange of energy and water with air are called the Land Surface Temperature (LST). This phenomenon is important to be monitored since LST can affect the global climate.LST is one of the parameters of energy balance on the surface by using the band 10, 5, and 4, resulting in the vegetation index (VI) green level parameter. It is done through satellite image analysis to calculate semi-emissivity using the Normalized Difference Vegetation Index (NDVI) algorithm because NDVI is more sensitive to chlorophyll based on the contraction between the maximum absorption of chlorophyll, red wavelength, and maximum reflectance, infrared caused by leaf cell structure. So that the effect of the atmosphere does not have a major effect on chlorophyll scattering, the NDVI algorithm is combined with the value of the soil emissivity sensor to identify the Land Surface Temperature. The sampling method of LST is conducted by Taro Yamane on March 24, 2019 aimed to find the distribution of sample points to be carried out in the field regarding the results of the identification of LST Landsat 8 image data.Based on the LST Landsat 8 image in Batam Island on March 24, 2019, there were 6 populations spread over 36 sample points with the highest temperature of 33.49 0C, the lowest temperature of 18.230C and the average temperature of 28.620C. We found the correlation coefficient of 0.36263 for the relationship between identification of LST Landsat 8 images and the ground-measured LST as a validation, this value includes sufficient/moderate correlation in the Pearson product-moment.
KW - Land Surface Temperature
KW - Landsat 8 OLI
KW - NDVI
KW - Remote Sensing
UR - http://www.scopus.com/inward/record.url?scp=85101691783&partnerID=8YFLogxK
U2 - 10.1109/ICAE50557.2020.9350552
DO - 10.1109/ICAE50557.2020.9350552
M3 - Conference contribution
AN - SCOPUS:85101691783
T3 - Proceedings of ICAE 2020 - 3rd International Conference on Applied Engineering
BT - Proceedings of ICAE 2020 - 3rd International Conference on Applied Engineering
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 3rd International Conference on Applied Engineering, ICAE 2020
Y2 - 7 October 2020 through 8 October 2020
ER -