TY - JOUR
T1 - The Effect of Land Cover Changes on Land Surface Temperature in Tangerang Selatan on 2005, 2008, 2013, and 2018
AU - Pin, Tjiong Giok
AU - Shidiq, Iqbal Putut Ash
AU - Taqyuddin,
N1 - Publisher Copyright:
© Published under licence by IOP Publishing Ltd.
PY - 2020/1/15
Y1 - 2020/1/15
N2 - South Tangerang is the city with the highest population growth in Banten Province and one of the cities with the highest economic growth rate in Indonesia. Its causes higher land demand and forces land use/land cover change from non built-up area into built-up area in South Tangerang. Buildings and asphalt in urban areas contribute greatly to high surface temperatures. This study aims to look at changes in land cover that occurred in South Tangerang in 2005, 2008, 2013 and 2018, and the effect on land surface temperature. The data used in this study are Landsat TM (2005 and 2008) and Landsat OLI-TIRS images (2013 and 2018) were used to generate land cover, building density, vegetation density, and land surface temperature. This study uses the decision tree method to generate land cover classification, Normalized Difference Built-Up/Barren Index (NDBI), Normalized Difference Vegetation Index (NDVI), and Land Surface Temperature (LST). The results show that changes in land cover into built-up land are increasing land surface temperature around 0.4-0.70C each year in South Tangerang. Land surface temperature has a positive correlation with building density, and a negative correlation with vegetation density.
AB - South Tangerang is the city with the highest population growth in Banten Province and one of the cities with the highest economic growth rate in Indonesia. Its causes higher land demand and forces land use/land cover change from non built-up area into built-up area in South Tangerang. Buildings and asphalt in urban areas contribute greatly to high surface temperatures. This study aims to look at changes in land cover that occurred in South Tangerang in 2005, 2008, 2013 and 2018, and the effect on land surface temperature. The data used in this study are Landsat TM (2005 and 2008) and Landsat OLI-TIRS images (2013 and 2018) were used to generate land cover, building density, vegetation density, and land surface temperature. This study uses the decision tree method to generate land cover classification, Normalized Difference Built-Up/Barren Index (NDBI), Normalized Difference Vegetation Index (NDVI), and Land Surface Temperature (LST). The results show that changes in land cover into built-up land are increasing land surface temperature around 0.4-0.70C each year in South Tangerang. Land surface temperature has a positive correlation with building density, and a negative correlation with vegetation density.
UR - http://www.scopus.com/inward/record.url?scp=85079009315&partnerID=8YFLogxK
U2 - 10.1088/1755-1315/412/1/012029
DO - 10.1088/1755-1315/412/1/012029
M3 - Conference article
AN - SCOPUS:85079009315
SN - 1755-1307
VL - 412
JO - IOP Conference Series: Earth and Environmental Science
JF - IOP Conference Series: Earth and Environmental Science
IS - 1
M1 - 012029
T2 - 2nd International Conference on Geography and Education, ICGE 2019
Y2 - 10 October 2019
ER -