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Spatio-temporal of landslide potential in upstream areas, Bali tourism destinations: remote sensing and geographic information approach

Journal of Degraded and Mining Lands Management · Vol. 10 No. 4 (2023) · hlm. 4769–4777

DOI
10.15243/jdmlm.2023.104.4769
ISSN
2502-2458, 2339-076X
Terbit
2023-07-01
Penerbit
Brawijaya University
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-nc/4.0

Abstrak

Upstream Bali has tourist destinations with beautiful natural panoramas such as mountains, forest areas, and lakes. Characteristics of the area with steep slopes, high rainfall, and altitude above 1,500 masl. The area is inseparable from the threat of disasters, such as landslides, especially in the Baturiti District. This area often experiences landslides but has not been mapped spatially. Mitigation efforts are needed to minimize the impact of landslides. This study aimed to determine the potential for landslides and their distribution in different periods, namely 2000, 2010, and 2020. The scoring method considers four parameters: rainfall, slope, soil type, and vegetation density, using ArcGIS 10.8 Apps. Parameters extracted from remote sensing data include Landsat with ETM+ and OLI sensors, rainfall from the CHIRPS satellite, and slopes from DEMNAS. Geographic Information System (GIS) data includes soil types. Another role of GIS is to quantify raster data to build a landslide potential prediction model. Baturiti Subdistrict has a low to high potential for landslides, which are administratively distributed in Candikuning, Baturiti, Antapan, Batunya, and Bangli villages. The landslide potential in the high category in 2000, 2010, and 2020 respectively, is 70.12 ha (1%), 597.05 ha (5%), and 39.12 ha (1%). Based on the findings of this study, the leading cause of landslides is high rainfall followed by reduced vegetation density. Other factors include steep slopes (>45%) and soil types of Andosol and Regosol.

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Rekan penulisOrganisasiArtikel bersama
Ni Made TrigunasihUdayana University2
Made Sri SumarniasihUdayana University2
Putu Perdana Kusuma WigunaUdayana University1
I Ketut SardianaUdayana University1
Ni Luh Ramaswati PurnawanUdayana University1
Tati Budi KusmiyartiUdayana University1
I Gusti Ayu Sintya DewiUdayana University1
I Wayan NarkaUdayana University1
Ni Nengah SoniariUdayana University1
I Made AdnyanaUdayana University1
Ketut Dharma SusilaUdayana University1
Debby Clara Br GintingUdayana University1
I Dewa Made ArthagamaUdayana University1

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Sumber metadata: OAI-PMH (metadata jurnal) http://jdmlm.ub.ac.id/index.php/jdmlm/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-US">Spatio-temporal of landslide potential in upstream areas, Bali tourism destinations: remote sensing and geographic information approach</dc:title>
	<dc:creator>Diara, I Wayan</dc:creator>
	<dc:creator>Wiradharma, I Ketut Agus Wahyu</dc:creator>
	<dc:creator>Suyarto, R</dc:creator>
	<dc:creator>Wiyanti, W</dc:creator>
	<dc:creator>Saifulloh, Moh</dc:creator>
	<dc:subject xml:lang="en-US">Geographic Information System</dc:subject>
	<dc:subject xml:lang="en-US">landslides</dc:subject>
	<dc:subject xml:lang="en-US">remote sensing</dc:subject>
	<dc:subject xml:lang="en-US">tourism destinations</dc:subject>
	<dc:subject xml:lang="en-US">upstream</dc:subject>
	<dc:description xml:lang="en-US">Upstream Bali has tourist destinations with beautiful natural panoramas such as mountains, forest areas, and lakes. Characteristics of the area with steep slopes, high rainfall, and altitude above 1,500 masl. The area is inseparable from the threat of disasters, such as landslides, especially in the Baturiti District. This area often experiences landslides but has not been mapped spatially. Mitigation efforts are needed to minimize the impact of landslides. This study aimed to determine the potential for landslides and their distribution in different periods, namely 2000, 2010, and 2020. The scoring method considers four parameters: rainfall, slope, soil type, and vegetation density, using ArcGIS 10.8 Apps. Parameters extracted from remote sensing data include Landsat with ETM+ and OLI sensors, rainfall from the CHIRPS satellite, and slopes from DEMNAS. Geographic Information System (GIS) data includes soil types. Another role of GIS is to quantify raster data to build a landslide potential prediction model. Baturiti Subdistrict has a low to high potential for landslides, which are administratively distributed in Candikuning, Baturiti, Antapan, Batunya, and Bangli villages. The landslide potential in the high category in 2000, 2010, and 2020 respectively, is 70.12 ha (1%), 597.05 ha (5%), and 39.12 ha (1%). Based on the findings of this study, the leading cause of landslides is high rainfall followed by reduced vegetation density. Other factors include steep slopes (&amp;gt;45%) and soil types of Andosol and Regosol.</dc:description>
	<dc:publisher xml:lang="en-US">Brawijaya University</dc:publisher>
	<dc:date>2023-07-01</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://jdmlm.ub.ac.id/index.php/jdmlm/article/view/1893</dc:identifier>
	<dc:identifier>10.15243/jdmlm.2023.104.4769</dc:identifier>
	<dc:source xml:lang="en-US">Journal of Degraded and Mining Lands Management; Vol. 10 No. 4 (2023); 4769-4777</dc:source>
	<dc:source>2502-2458</dc:source>
	<dc:source>2339-076X</dc:source>
	<dc:source>10.15243/jdmlm.2023.104</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://jdmlm.ub.ac.id/index.php/jdmlm/article/view/1893/pdf</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2023 Journal of Degraded and Mining Lands Management</dc:rights>
	<dc:rights xml:lang="en-US">https://creativecommons.org/licenses/by-nc/4.0</dc:rights>
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