Indicator determination of forest and land fires vulnerability using Landsat-5 TM data (case study: Jambi Province)

The purpose of this study is to determine indicators in the assessment of forest and land fires vulnerability in Jambi Province. The parameters are derived from Landsat-5 TM data such as Normalized Difference Vegetation Index (NDVI), Normalized Difference Water Index (NDWI), surface temperature, and air temperature. MODIS hotspot data is also employed as the key parameter of fire occurrence. There are three scenarios used in this research and each of them has different weight in WLC (Weighted Linear Combination): 1) same weight for all parameters, 2) weight of NDWI two times greater than weight of others, and 3) weight of NDVI (0.1) < weight of air temperature (0.2) < weight of surface temperature (0.3) < weight of NDWI (0.4). Enforcement of those three scenarios is aimed to see the consistency of each parameter on fire vulnerability. Partially, NDVI and NDWI provide greater contribution to the level of vulnerability. It can be seen that their determination coefficients (R-2) are higher than the air and surface temperature. (C) 2015 The Authors. Published by Elsevier B.V.