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Flood Vulnerability Analysis Based on GIS and Remote Sensing at Silat Hulu

Indonesian Journal of Geography · Vol. 56 No. 2 (2024) · hlm. 253–262

DOI
10.22146/ijg.91114
ISSN
2354-9114, 0024-9521
Terbit
2024-08-08
Penerbit
Faculty of Geography, Universitas Gadjah Mada
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-nc/4.0

Abstrak

A flood is a natural disaster that may happen anywhere and anytime. These disasters have become an annual cycle in Indonesia, and it is important to be swift in their mitigation and control. This study aims to determine the vulnerability of flooding in Silat Hulu and the extent of the area likely to be submerged. The method used was survey and secondary interpretation data. Data was from topographic maps, Sentinel 2A images, and 10 x 10 m resolution DEM images acquired on November 21, 2021, obtained from the ALOS PALSAR imagery. Data analysis using ArcGIS 10.8, using the weighted overlay spatial analysis tool. The results showed that the study location had three flood vulnerability classes: low, medium, and high. The locations with low vulnerability classes have an area of 2,921 ha, moderate have 32,683 ha, and high have 28,208 ha. Low flood vulnerability is spread to a small extent in Nangau Luan, Nangau Lungu, and Landau Badai villages. The level of vulnerability is mostly in Nangau, Nangau Lungu, and Landau Storm. The high level of vulnerability is mainly spread in the villages of Nangau Dangkan, Blimbing, Nangau Ngeri, and Nangau Lungu. GIS and remote sensing approaches are practical tools for flood-prone maps. Furthermore, GIS-based flood vulnerability mapping and remote sensing are valuable tools for estimating flood vulnerability areas. Play This Podcast Article

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  • Tanjungpura University
  • Kementerian Energi dan Sumber Daya Mineral
  • Sultan Idris Education University
  • Sumatera Institute of Technology
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Rekan penulisOrganisasiArtikel bersama
Rustam RustamKementerian Energi dan Sumber Daya Mineral6
Mohd Hairy IbrahimSultan Idris Education University3
Arif RohmanSumatera Institute of Technology3
Rustam RustamTanjungpura University3
Paiman PaimanAfiliasi tidak diketahui3
Galuh BayuardiTanjungpura University1

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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">Flood Vulnerability Analysis Based on GIS and Remote Sensing at Silat Hulu</dc:title>
	<dc:creator>Purwanto, Ajun</dc:creator>
	<dc:creator>Andrasmoro, Dony</dc:creator>
	<dc:creator>Eviliyanto, Eviliyanto</dc:creator>
	<dc:subject xml:lang="en-US">Geography</dc:subject>
	<dc:subject xml:lang="en-US">Analysis; Flood Vulnerability; GIS; Remote Sensing</dc:subject>
	<dc:subject xml:lang="en-US"></dc:subject>
	<dc:description xml:lang="en-US">A flood is a natural disaster that may happen anywhere and anytime. These disasters have become an annual cycle in Indonesia, and it is important to be swift in their mitigation and control. This study aims to determine the vulnerability of flooding in Silat Hulu and the extent of the area likely to be submerged. The method used was survey and secondary interpretation data. Data was from topographic maps, Sentinel 2A images, and 10 x 10 m resolution DEM images acquired on November 21, 2021, obtained from the ALOS PALSAR imagery. Data analysis using ArcGIS 10.8, using the weighted overlay spatial analysis tool. The results showed that the study location had three flood vulnerability classes: low, medium, and high. The locations with low vulnerability classes have an area of 2,921 ha, moderate have 32,683 ha, and high have 28,208 ha. Low flood vulnerability is spread to a small extent in Nangau Luan, Nangau Lungu, and Landau Badai villages. The level of vulnerability is mostly in Nangau, Nangau Lungu, and Landau Storm. The high level of vulnerability is mainly spread in the villages of Nangau Dangkan, Blimbing, Nangau Ngeri, and Nangau Lungu. GIS and remote sensing approaches are practical tools for flood-prone maps. Furthermore, GIS-based flood vulnerability mapping and remote sensing are valuable tools for estimating flood vulnerability areas.  Play This Podcast Article </dc:description>
	<dc:publisher xml:lang="en-US">Faculty of Geography, Universitas Gadjah Mada</dc:publisher>
	<dc:contributor xml:lang="en-US">LPDP</dc:contributor>
	<dc:date>2024-08-08</dc:date>
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	<dc:type xml:lang="en-US">Peer-reviewed Article</dc:type>
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	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.ugm.ac.id/ijg/article/view/91114</dc:identifier>
	<dc:identifier>10.22146/ijg.91114</dc:identifier>
	<dc:source xml:lang="en-US">Indonesian Journal of Geography; Vol 56, No 2 (2024): Indonesian Journal of Geography; 253-262</dc:source>
	<dc:source>2354-9114</dc:source>
	<dc:source>0024-9521</dc:source>
	<dc:language>eng</dc:language>
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	<dc:relation>https://journal.ugm.ac.id/ijg/article/downloadSuppFile/91114/30183</dc:relation>
	<dc:relation>https://journal.ugm.ac.id/ijg/article/downloadSuppFile/91114/30184</dc:relation>
	<dc:relation>https://journal.ugm.ac.id/ijg/article/downloadSuppFile/91114/30185</dc:relation>
	<dc:relation>https://journal.ugm.ac.id/ijg/article/downloadSuppFile/91114/33479</dc:relation>
	<dc:coverage xml:lang="en-US"></dc:coverage>
	<dc:coverage xml:lang="en-US"></dc:coverage>
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	<dc:rights xml:lang="en-US">Copyright (c) 2024 Authors</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-nc/4.0</dc:rights>
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