Classification of Flood Disaster Risk Areas Using Vegetation Index Calculation and Landsat-8 Satellite Imagery in West Sumatra


Authors : M. Abhiel Laiths Qatadah; Siti Zainab

Volume/Issue : Volume 9 - 2024, Issue 7 - July


Google Scholar : https://tinyurl.com/y49rvvf6

Scribd : https://tinyurl.com/46mp9f5x

DOI : https://doi.org/10.38124/ijisrt/IJISRT24JUL1397

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.


Abstract : One of the Indonesian provinces most vulnerable to flooding catastrophes is West Sumatra. West Sumatra is a province that spans 98°36' to 101°53' East Longitude and 00°54' North Latitude to 03°30' South Latitude. Its total size is roughly 42,297.30 km2, or 4,229,730 hectares, and it is surrounded by around 391 major and small islands. Flash floods and landslides have affected a number of regencies and cities in West Sumatra, including Agam Regency, Tanah Datar Regency, Padang Panjang City, Padang Pariaman Regency, and Padang City. The objective of this study is to use vegetation index estimates based on Landsat-8 satellite images to categorise flood catastrophe risk zones in West Sumatra. NDVI = -0.106 and NDWI = -0.03999, respectively, are examples of vegetation indices that define land as either non-vegetated or sparsely vegetated, and SAVI = 0.0002447 classify areas with water bodies such as rivers/floods.

Keywords : Disaster Mitigation, Remote Sensing, NDVI, NDWI, SAVI.

References :

  1. Sejati AW, Putri SNAK, Rahayu S, Buchori I, Rahayu K, Andika Wiratmaja IGAM, et al. Flood Hazard Risk Assessment based on Multicriteria Spatial Analysis GIS as Input for Spatial Planning Policies in Tegal Regency, Indonesia. Geographica Pannonica 2023;27:50–68. https://doi.org/10.5937/gp27-40927.
  2. Eka Putri S, Corp AF, Rembrandt, Dasman Lanin, Genius Umar, Mulya Gusman. Kota Padang : Identifikasi Potensi Bencana Banjir Dan Upaya Mitigasi. Jurnal Ilmiah Multidisiplin Nusantara (JIMNU) 2023;1:116–22. https://doi.org/10.59435/jimnu.v1i3.56.
  3. Sukojo BM, Prayoga MP. PEMANFAATAN TEKNOLOGI PENGINDERAAN JAUH DAN SISTEM INFORMASI GEOGRAFIS UNTUK ANALISIS SPASIAL TINGKAT KEKERINGAN WILAYAH KABUPATEN TUBAN. Geoid 2017;13:85–92.
  4. Sukojo BM, Alfiansyah F. Flood Disaster Analysis Using Landsat-8 and SPOT-6 Imagery for Determination of Flooded Areas in Sampang, Madura. IOP Conf Ser Earth Environ Sci, vol. 98, Institute of Physics Publishing; 2017. https://doi.org/10.1088/1755-1315/98/1/012021.
  5. Rendana M, Mohd Razi Idris W, Abdul Rahim S, Abdo HG, Almohamad H, Abdullah Al Dughairi A. Flood risk and shelter suitability mapping using geospatial technique for sustainable urban flood management: a case study in Palembang city, South Sumatera, Indonesia. Geology, Ecology, and Landscapes 2023. https://doi.org/10.1080/24749508.2023.2205717.
  6. Purwanto A, Rustam, Eviliyanto, Andrasmoro D. Flood Risk Mapping Using GIS and Multi-Criteria Analysis at Nanga Pinoh West Kalimantan Area. Indonesian Journal of Geography 2022;54:463–70. https://doi.org/10.22146/IJG.69879.
  7. Jiddan Amrullah M, Anggita S, Alifah Oktivia Puteri S, Amalia Tobing U, Iswara Pangastuti E, Asyroful Mujib M. Analysis Of Vegetation Density In Flood Disaster Using Landsat 8 Imagery In Jember Urban Area. Indonesian Journal of Remote Sensing and Applications 2010;2023:33–41. https://doi.org/10.14710/ijrsa.x.x.xxx-xxx.
  8. Ihsan F, Pramukanto Q. PERENCANAAN LANSKAP KOTA PARIAMAN PROVINSI SUMATERA BARAT BERBASIS MITIGASI TSUNAMI. Jurnal Lanskap Indonesia 2017;9:1–12. https://doi.org/10.29244/jli.v9i1.17165.
  9. Kausarian H, Suryadi A, Tetuko Sri Sumantyo J. GIS Analysis for Flood Problem in the Big City: A Case Study in Pekanbaru City, Riau Province, Indonesia 2021;11.
  10. Dayanthi AK, Prasetyo SYJ, Fibriani C. KLASIFIKASI WILAYAH RISIKO BENCANA BANJIR DI KOTA SEMARANG DENGAN PERHITUNGAN INDEKS VEGETASI. Jurnal Tanah Dan Sumberdaya Lahan 2023;10:461–70. https://doi.org/10.21776/ub.jtsl.2023.010.2.29.
  11. Susanti T, Suprapto M, Muttaqien AY. POLA ALIRAN BANJIR BERDASARKAN KARAKTERISTIK DAS LENGAYANG PROVINSI SUMATERA BARAT. 2014.

12. Priyatna M, Khomarudin MR, Wijaya SK, Yulianto F, Nugroho G, Afgatiani PM, et al. Rapid Flood Mapping Using Statistical Sampling Threshold Based on Sentinel-1 Imagery in the Barito Watershed, South Kalimantan Province, Indonesia. Journal of Engineering and Technological Sciences 2023;55:98–107. https://doi.org/10.5614/j.eng.technol.sci.2023.55.1.10

One of the Indonesian provinces most vulnerable to flooding catastrophes is West Sumatra. West Sumatra is a province that spans 98°36' to 101°53' East Longitude and 00°54' North Latitude to 03°30' South Latitude. Its total size is roughly 42,297.30 km2, or 4,229,730 hectares, and it is surrounded by around 391 major and small islands. Flash floods and landslides have affected a number of regencies and cities in West Sumatra, including Agam Regency, Tanah Datar Regency, Padang Panjang City, Padang Pariaman Regency, and Padang City. The objective of this study is to use vegetation index estimates based on Landsat-8 satellite images to categorise flood catastrophe risk zones in West Sumatra. NDVI = -0.106 and NDWI = -0.03999, respectively, are examples of vegetation indices that define land as either non-vegetated or sparsely vegetated, and SAVI = 0.0002447 classify areas with water bodies such as rivers/floods.

Keywords : Disaster Mitigation, Remote Sensing, NDVI, NDWI, SAVI.

Never miss an update from Papermashup

Get notified about the latest tutorials and downloads.

Subscribe by Email

Get alerts directly into your inbox after each post and stay updated.
Subscribe
OR

Subscribe by RSS

Add our RSS to your feedreader to get regular updates from us.
Subscribe