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Land-Cover Change Detection in Batur Catchment Area Using Remote Sensing

Jurnal Geografi · Vol. 15 No. 1 (2023) · hlm. 64–79

DOI
10.24114/jg.v15i1.32670
ISSN
2549-7057, 2085-8167
Terbit
2023-02-22
Penerbit
Universitas Negeri Medan
Bahasa
en

Abstrak

Inggris

Land cover information is an essential aspect in the planning and management of earth modeling and understanding. Land cover changes impact the physical and social environment, such as hydrological conditions and ecological systems. This study aimed to identify spatial differences in the land cover of the Batur catchment area from 2015-2021 by using a remote sensing approach to describe the existing land-cover site and to detect its changes. The methods used in this study are a combination of the vegetation index and a supervised classification maximum likelihood algorithm with Landsat 8 OLI/TIRS in 2015 and 2021. Furthermore, the Change Detection Feature, identified from two image periods in 2015-2021 and processed, is used to detect changes in land cover. The accuracy assessment utilized QuickBird imagery recorded in 2015; field survey data were taken in 2021. The results showed that between 2015 to 2021, built-up area, bare land, shrubs, and lake have increased by 102,66% (306,01 ha), 27,95% (452,25 ha), 15,20% (215,72 ha) and 4,05 % (62,73 ha) while dryland forest and dry-dry-field have decreased by -25,84% (-606,29 ha) and -14.59% (-430,42 ha), respectively. The overall accuracy of the multispectral classification results in 2015 and 2021 was 82,63% and 89,57%.Keywords: Land-Cover Change; Batur; Catchment Area; Remote Sensing

Inggris

Land cover information is an essential aspect in the planning and management of earth modeling and understanding. Land cover changes impact the physical and social environment, such as hydrological conditions and ecological systems. This study aimed to identify spatial differences in the land cover of the Batur catchment area from 2015-2021 by using a remote sensing approach to describe the existing land-cover site and to detect its changes. The methods used in this study are a combination of the vegetation index and a supervised classification maximum likelihood algorithm with Landsat 8 OLI/TIRS in 2015 and 2021. Furthermore, the Change Detection Feature, identified from two image periods in 2015-2021 and processed, is used to detect changes in land cover. The accuracy assessment utilized QuickBird imagery recorded in 2015; field survey data were taken in 2021. The results showed that between 2015 to 2021, built-up area, bare land, shrubs, and lake have increased by 102,66% (306,01 ha), 27,95% (452,25 ha), 15,20% (215,72 ha) and 4,05 % (62,73 ha) while dryland forest and dry-dry-field have decreased by -25,84% (-606,29 ha) and -14.59% (-430,42 ha), respectively. The overall accuracy of the multispectral classification results in 2015 and 2021 was 82,63% and 89,57%.Keywords: Land-Cover Change; Batur; Catchment Area; Remote Sensing

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  • Universitas Gadjah Mada
  • Indonesian National Institute of Aeronautics and Space
  • Diponegoro University
  • Hokkaido University
  • University of Indonesia
  • Lambung Mangkurat University
  • Muhammadiyah University of Yogyakarta
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Rekan penulisOrganisasiArtikel bersama
Totok GunawanAfiliasi tidak diketahui5
Hartono HartonoAfiliasi tidak diketahui4
Bambang SulistyoAfiliasi tidak diketahui3
Sanjiwana ArjasakusumaAfiliasi tidak diketahui3
Ratih Dewanti DimyatiUniversitas Gadjah Mada2
Kustiyo KustiyoIndonesian National Institute of Aeronautics and Space2
Rahmat azul MizanAfiliasi tidak diketahui2
Nur Mohammad FardaAfiliasi tidak diketahui2
Iswari Nur HidayatiAfiliasi tidak diketahui2
R SuharyadiAfiliasi tidak diketahui2
Sugeng Juwono MardihusodoAfiliasi tidak diketahui2
Hartono HartonoDiponegoro University1
Deha Agus UmarhadiHokkaido University1
Rochmat MartantoAfiliasi tidak diketahui1
Sudaryatno SudaryatnoAfiliasi tidak diketahui1
Bagus WiratmokoAfiliasi tidak diketahui1
Totok Wahyu WibowoAfiliasi tidak diketahui1
Wahyu NurbandiAfiliasi tidak diketahui1
Nursida ArifAfiliasi tidak diketahui1
Sigit HerumurtiAfiliasi tidak diketahui1
Yanuar Adji NugrohoAfiliasi tidak diketahui1
Prama Ardha AryagunaAfiliasi tidak diketahui1
Muhammad KamalAfiliasi tidak diketahui1
Muhammad Sufwandika WijayaAfiliasi tidak diketahui1
. HartonoAfiliasi tidak diketahui1
Muhammad DimyatiUniversity of Indonesia1
Syamani D. AliLambung Mangkurat University1
Candra Sari Djati KartikaAfiliasi tidak diketahui1
Irvan Nurrahman AnandaAfiliasi tidak diketahui1
Assyria F UmelaAfiliasi tidak diketahui1
Alvidita Beatrix IndayaniAfiliasi tidak diketahui1
Diwyacitta Dirda GupitaAfiliasi tidak diketahui1
Muhammad Zayyanul AfwaniAfiliasi tidak diketahui1
Haeydar Anggara HadiAfiliasi tidak diketahui1
William Krista MahendraAfiliasi tidak diketahui1
Kusbaryanto KusbaryantoMuhammadiyah University of Yogyakarta1
Tri Wulandari KesetyaningsihAfiliasi tidak diketahui1

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Sumber metadata: OAI-PMH (metadata jurnal) http://jurnal.unimed.ac.id/2012/index.php/geo/oai, pertama di-harvest 9 Nov 2026, terakhir terlihat 9 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en">Land-Cover Change Detection in Batur Catchment Area Using Remote Sensing</dc:title>
	<dc:title xml:lang="en-US">Land-Cover Change Detection in Batur Catchment Area Using Remote Sensing</dc:title>
	<dc:creator xml:lang="en">Febrianti, Ni Kadek Oki</dc:creator>
	<dc:creator xml:lang="en">Danoedoro, Projo</dc:creator>
	<dc:creator xml:lang="en">Widayani, Prima</dc:creator>
	<dc:description xml:lang="en">Land cover information is an essential aspect in the planning and management of earth modeling and understanding. Land cover changes impact the physical and social environment, such as hydrological conditions and ecological systems. This study aimed to identify spatial differences in the land cover of the Batur catchment area from 2015-2021 by using a remote sensing approach to describe the existing land-cover site and to detect its changes. The methods used in this study are a combination of the vegetation index and a supervised classification maximum likelihood algorithm with Landsat 8 OLI/TIRS in 2015 and 2021. Furthermore, the Change Detection Feature, identified from two image periods in 2015-2021 and processed, is used to detect changes in land cover. The accuracy assessment utilized QuickBird imagery recorded in 2015; field survey data were taken in 2021. The results showed that between 2015 to 2021, built-up area, bare land, shrubs, and lake have increased by 102,66% (306,01 ha), 27,95% (452,25 ha), 15,20% (215,72 ha) and 4,05 % (62,73 ha) while dryland forest and dry-dry-field have decreased by -25,84% (-606,29 ha) and -14.59% (-430,42 ha), respectively. The overall accuracy of the multispectral classification results in 2015 and 2021 was 82,63% and 89,57%.Keywords: Land-Cover Change; Batur; Catchment Area; Remote Sensing </dc:description>
	<dc:description xml:lang="en-US">Land cover information is an essential aspect in the planning and management of earth modeling and understanding. Land cover changes impact the physical and social environment, such as hydrological conditions and ecological systems. This study aimed to identify spatial differences in the land cover of the Batur catchment area from 2015-2021 by using a remote sensing approach to describe the existing land-cover site and to detect its changes. The methods used in this study are a combination of the vegetation index and a supervised classification maximum likelihood algorithm with Landsat 8 OLI/TIRS in 2015 and 2021. Furthermore, the Change Detection Feature, identified from two image periods in 2015-2021 and processed, is used to detect changes in land cover. The accuracy assessment utilized QuickBird imagery recorded in 2015; field survey data were taken in 2021. The results showed that between 2015 to 2021, built-up area, bare land, shrubs, and lake have increased by 102,66% (306,01 ha), 27,95% (452,25 ha), 15,20% (215,72 ha) and 4,05 % (62,73 ha) while dryland forest and dry-dry-field have decreased by -25,84% (-606,29 ha) and -14.59% (-430,42 ha), respectively. The overall accuracy of the multispectral classification results in 2015 and 2021 was 82,63% and 89,57%.Keywords: Land-Cover Change; Batur; Catchment Area; Remote Sensing </dc:description>
	<dc:publisher xml:lang="en">Universitas Negeri Medan</dc:publisher>
	<dc:date>2023-02-22</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">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://jurnal.unimed.ac.id/2012/index.php/geo/article/view/32670</dc:identifier>
	<dc:identifier>10.24114/jg.v15i1.32670</dc:identifier>
	<dc:source xml:lang="en">JURNAL GEOGRAFI; Vol. 15 No. 1 (2023): JURNAL GEOGRAFI; 64-79</dc:source>
	<dc:source>2549-7057</dc:source>
	<dc:source>2085-8167</dc:source>
	<dc:source>10.24114/jg.v15i1</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://jurnal.unimed.ac.id/2012/index.php/geo/article/view/32670/20553</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2023 JURNAL GEOGRAFI</dc:rights>
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