BURN AREA INDEX FOR SENTINEL-2 (BAIS2) DAN NORMALIZED BURN RATIO (NBR) UNTUK IDENTIFIKASI DAMPAK AWAL KEBAKARAN HUTAN DAN LAHAN (STUDI KASUS KEBAKARAN HUTAN DAN LAHAN BULAN SEPTEMBER 2023 DI KAWASAN GUNUNG ARJUNO, JAWA TIMUR)

Akbar Cahyadhi Pratama Putra; Tantri Utami Widhaningtyas

doi:10.32795/pranatacara_bhumandala.v5i1.4555

Akbar Cahyadhi Pratama Putra BWS Bali- Penida
Tantri Utami Widhaningtyas Badan Pertanahan Nasional Kantah Gianyar Bali

DOI: https://doi.org/10.32795/pranatacara_bhumandala.v5i1.4555

Keywords: forest fire, remote sensing, NBR, BAIS2, Sentinel-2

Abstract

The land fire on Mount Arjuno occurred in September 2023. Rapid monitoring to identify initial impacts using Sentinel-2 remote sensing data was able to detect forest fire areas. The forest fire area detection method using NBR (Normalized Burn Ratio) and BAIS2 (Burn Area Index for Sentinel-2) is able to detect fire areas well. The SI (Separability Index) results for both indices have good fire area detection results. The method for detecting forest and land fire areas in the Mount Arjuno area using NBR (Normalized Burn Ratio) has an SI (Separability Index) value of 1.32, which is better than BAIS2 (Burn Area Index for Sentinel-2). The initial identification results for the forest fire area in the Mount Arjuno area were 1673.78 ha. The initial direction of forest and land fires in the Mount Arjuno area was towards the southeast, namely towards Pasuruan Regency. Forest and land fires in the Mount Arjuno area reduced the area of forest affected in Pasuruan Regency by 1222.11 ha.