OPTIMALISASI DATA LANDSAT 8 UNTUK PEMETAAN DAERAH RAWAN BANJIR DENGAN NDVI dan NDWI ( Studi Kasus : Kota Bengkulu )

Authors

  • Aan Erlansari Program Studi Informatika, Fakultas Teknik, Universitas Bengkulu, Indonesia
  • Boko Susilo Program Studi Informatika, Fakultas Teknik, Universitas Bengkulu, Indonesia
  • Franky Hernoza Program Studi Informatika, Fakultas Teknik, Universitas Bengkulu, Indonesia

DOI:

https://doi.org/10.23960/jge.v6i1.60

Keywords:

NDVI, NDWI, flooding, Landsat 8, remote sensing

Abstract

Indonesia is classified as a tropical region with rainfall data ranging from medium to high. This has become one of the causes of frequent flooding. Bengkulu which is one of the provinces in Indonesia, has a topography that is at an elevation of 0-16 meters above sea level with 70% flat topography and 30% small hilly. Swamp area dominates the lowlands so that it cannot optimally absorb water into the soil. This study identifies areas with potential flooding using data obtained through Landsat 8 and processes them using the NDVI and NDWI methods. NDVI detected and classified a map into five classifications; dry land with red colour, scarce vegetation with yellow pigment, sparse vegetation with soft green colour, solid vegetation with a dark green colour. Meanwhile, NDWI classified into 3 categories; medium wetness with a brown colour, dry land with beige colour and high wet area with a blue colour.

References

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Published

2020-03-18

How to Cite

Erlansari, A., Susilo, B., & Hernoza, F. (2020). OPTIMALISASI DATA LANDSAT 8 UNTUK PEMETAAN DAERAH RAWAN BANJIR DENGAN NDVI dan NDWI ( Studi Kasus : Kota Bengkulu ). JGE (Jurnal Geofisika Eksplorasi), 6(1), 57–65. https://doi.org/10.23960/jge.v6i1.60

Issue

Vol. 6 No. 1 (2020)

Section

Articles

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