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

Aan Erlansari (Program Studi Informatika, Fakultas Teknik, Universitas Bengkulu)
Boko Susilo (Program Studi Informatika, Fakultas Teknik, Universitas Bengkulu)
Franky Hernoza (Program Studi Informatika, Fakultas Teknik, Universitas Bengkulu)

JGE (Jurnal Geofisika Eksplorasi)
Vol 6, No 1 (2020)

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.