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Land Surface Temperature Assessment in Central Sumatra, Indonesia

Indonesian Journal of Geography · Vol. 52 No. 2 (2020) · hlm. 239–245

DOI
10.22146/ijg.51327
ISSN
2354-9114, 0024-9521
Terbit
2020-09-02
Penerbit
Faculty of Geography, Universitas Gadjah Mada
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-nc/4.0

Abstrak

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.

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  • University of Darussalam Gontor
  • Institut Agama Islam Negeri Kendari
  • Universitas Airlangga
  • Prince of Songkla University
  • Sebelas Maret University
  • Sunan Gunung Djati State Islamic University Bandung
  • Universiti Malaysia Pahang Al-Sultan Abdullah
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Rekan penulisOrganisasiArtikel bersama
Eka RosantiUniversity of Darussalam Gontor2
Haris SetyawanSebelas Maret University2
Ratih Andhika Akbar RahmaUniversity of Darussalam Gontor2
Syarif RizaliaInstitut Agama Islam Negeri Kendari1
Abdul KadirInstitut Agama Islam Negeri Kendari1
Jumarddin La FuaInstitut Agama Islam Negeri Kendari1
Halmuniati HalmuniatiInstitut Agama Islam Negeri Kendari1
Beni Ahmad SaebaniSunan Gunung Djati State Islamic University Bandung1
Ridwan Eko PrasetyoSunan Gunung Djati State Islamic University Bandung1
Yusriadi YusriadiHasanuddin University1
Dilah TuahUniversiti Malaysia Sarawak1
JuniawatiInstitut Agama Islam Negeri Pontianak1
Dedy Ari AsfarTanjungpura University1
Asri PratiwiAfiliasi tidak diketahui1
Giarno GiarnoMeteorological, Climatological, And Geophysical Agency1
Ervan FerdiansyahAfiliasi tidak diketahui1
Fendy ArifiantoAfiliasi tidak diketahui1
SILVIA YULIANTIAfiliasi tidak diketahui1
Abdul Rohim TualekaUniversitas Airlangga1
Abdullah Al MamunAfiliasi tidak diketahui1
Nur Anisah RahmawatiUniversitas Airlangga1
Herman Bagus DwicahyoUniversitas Airlangga1
Selamet Ujang IrawanUniversity of Darussalam Gontor1
Rindang DiannitaUniversity of Darussalam Gontor1
Ramadhan Dwi SaputraUniversitas Jember1
Aisy RahmaniaUniversity of Darussalam Gontor1
Siti Noraishah IsmailUniversiti Malaysia Pahang Al-Sultan Abdullah1
Azizan RamliUniversiti Malaysia Pahang Al-Sultan Abdullah1
Isna QadrijatiSebelas Maret University1
Ratna FajarianiSebelas Maret University1
Nisa Nur KusumaPoliteknik Assalaam Surakarta1

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Sumber metadata: OAI-PMH (metadata jurnal) http://jurnal.ugm.ac.id/ijg/oai, pertama di-harvest 8 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en-US">Land Surface Temperature Assessment in Central Sumatra, Indonesia</dc:title>
	<dc:creator>Prasetya, Tofan Agung Eka</dc:creator>
	<dc:creator>Munawar, Munawar</dc:creator>
	<dc:creator>Taufik, Muhammad Rifki</dc:creator>
	<dc:creator>Chesoh, Sarawuth</dc:creator>
	<dc:creator>Lim, Apiradee</dc:creator>
	<dc:creator>McNeil, Don</dc:creator>
	<dc:subject xml:lang="en-US">Environmental; remote sensing; Data Science</dc:subject>
	<dc:subject xml:lang="en-US">land surface temperature;  elevation; land cover; normalized difference vegetation index</dc:subject>
	<dc:subject xml:lang="en-US">Biogeograpghy</dc:subject>
	<dc:description xml:lang="en-US">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.</dc:description>
	<dc:publisher xml:lang="en-US">Faculty of Geography, Universitas Gadjah Mada</dc:publisher>
	<dc:contributor xml:lang="en-US">Thailand's Education Hub for ASEAN Countries (TEH-AC).</dc:contributor>
	<dc:date>2020-09-02</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en-US">Peer-reviewed Article</dc:type>
	<dc:type xml:lang="en-US">Multiple linear regression</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.ugm.ac.id/ijg/article/view/51327</dc:identifier>
	<dc:identifier>10.22146/ijg.51327</dc:identifier>
	<dc:source xml:lang="en-US">Indonesian Journal of Geography; Vol 52, No 2 (2020): Indonesian Journal of Geography; 239-245</dc:source>
	<dc:source>2354-9114</dc:source>
	<dc:source>0024-9521</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.ugm.ac.id/ijg/article/view/51327/pdf</dc:relation>
	<dc:coverage xml:lang="en-US">Central Sumatra land surface temperature</dc:coverage>
	<dc:coverage xml:lang="en-US">2000-2018</dc:coverage>
	<dc:coverage xml:lang="en-US">super regions</dc:coverage>
	<dc:rights xml:lang="en-US">Copyright (c) 2020 Authors</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-nc/4.0</dc:rights>
</oai_dc:dc>