TY - JOUR
T1 - Land surface temperature assessment in Central Sumatra, Indonesia
AU - Prasetya, Tofan Agung Eka
AU - Munawar,
AU - Taufik, Muhamad Rifki
AU - Chesoh, Sarawuth
AU - Lim, Apiradee
AU - McNeil, Don
N1 - Funding Information:
This research was supported by Thailand's Education Hub for the Southern Region of ASEAN Countries under grant TEH-AC 059/2018, a Prince of Songkla University Graduate School Research Grant, and Universitas Airlangga.
Publisher Copyright:
© 2020 Faculty of Geography UGM and The Indonesian Geographers Association © 2020 by the authors. Licensee Indonesian Journal of Geography, Indonesia. This article is an open aeeess article distributed under the terms and conditions of the Creative Commons Attribution(CC BY NC) license https://creativecommons.org/licenses/by-nc/4.0/.
PY - 2020
Y1 - 2020
N2 - Land Surface Temperature (LST) assessment can explain temperature variation, which may be influenced by factors such as elevation, land cover, and the normalized difference vegetation index (NDVI). In this study, a multiple linear regression model of LST variation was constructed based on data from the Moderate Resolution Imaging Spectroradiometer (MODIS) aboard NASA's Terra satellite, relating to the period, 2000-2018. The highest LST variation of nearly 1.3 °C/decade was found in savanna areas while the lowest variation was in the evergreen broadleaf forest and woody savanna, which experienced a decrease of 2.1 °C/decade. The overall mean change of LST was -0.4 °C/decade and the regression model with LST as the dependent variable and elevation, land cover type, and NVDI as independent variables produced an R square of 0.376. The variation in LST was different depending upon the NDVI.
AB - Land Surface Temperature (LST) assessment can explain temperature variation, which may be influenced by factors such as elevation, land cover, and the normalized difference vegetation index (NDVI). In this study, a multiple linear regression model of LST variation was constructed based on data from the Moderate Resolution Imaging Spectroradiometer (MODIS) aboard NASA's Terra satellite, relating to the period, 2000-2018. The highest LST variation of nearly 1.3 °C/decade was found in savanna areas while the lowest variation was in the evergreen broadleaf forest and woody savanna, which experienced a decrease of 2.1 °C/decade. The overall mean change of LST was -0.4 °C/decade and the regression model with LST as the dependent variable and elevation, land cover type, and NVDI as independent variables produced an R square of 0.376. The variation in LST was different depending upon the NDVI.
KW - Elevation
KW - Land cover
KW - Land surface temperature
KW - Normalized difference vegetation index
UR - http://www.scopus.com/inward/record.url?scp=85093699776&partnerID=8YFLogxK
U2 - 10.22146/ijg.51327
DO - 10.22146/ijg.51327
M3 - Article
AN - SCOPUS:85093699776
SN - 0024-9521
VL - 52
SP - 239
EP - 245
JO - Indonesian Journal of Geography
JF - Indonesian Journal of Geography
IS - 2
ER -
