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This study examines the link found between the Fire Weather Index (FWI) and the probability of hotspots in Ogan Komering Ilir District, Indonesia. Although meteorological observation in the area is limited, it is possible to utilise NASA GFWED and FIRMS satellite data to analyse the ability of the FWI to explain hotspot events. The study aims to determine hotspot density based on the FWI for each season. Furthermore, it aims to establish the probability of hotspots based on FWI class and determination to identify the probability of forest fires in Ogan Komering Ilir. FWI data from NASAGFWED and hotspot data from 2001 to 2016 from FIRMS were employed for the analysis. Conditional probability analysis was used to ascertain the likelihood of hotspots. The highest hotspot density occurs during the late dry season (SON), followed by the early dry season period (June, July, August). Hotspot density during the rainy season is very low. The probability of hotspots is highest during a high to extreme FWI (around 0.1 to 3.8%) and extreme Fine Fuel Moisture Code (0.1 – 6%).

international journal of remote sensing and earth sciences/international journal of remote sensing and earth sciences

UTILISATION OF NASA - GFWED AND FIRMS SATELLITE DATA IN DETERMINING THE PROBABILITY OF HOTSPOTS USING THE FIRE WEATHER INDEX (FWI) IN OGAN KOMERING ILIR REGENCY, SOUTH SUMATRA