Land Surface Temperature Assessment in Central Sumatra, Indonesia
| Main Authors: | Prasetya, Tofan Agung Eka, Munawar, Munawar, Taufik, Muhammad Rifki, Chesoh, Sarawuth, Lim, Apiradee, McNeil, Don |
|---|---|
| Other Authors: | Thailand's Education Hub for ASEAN Countries (TEH-AC). |
| Format: | Article info Multiple linear regression application/pdf eJournal |
| Bahasa: | eng |
| Terbitan: |
Faculty of Geography, Universitas Gadjah Mada
, 2020
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| Subjects: | |
| Online Access: |
https://journal.ugm.ac.id/ijg/article/view/51327 https://journal.ugm.ac.id/ijg/article/view/51327/pdf |
Daftar Isi:
- 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.