Analysis of Burnt Area Mapping Methode Relativized Burn Ratio (RBR) Using Image Satellite Sentinel-2 Case Study of Peatland Fire in Riau Province

Abstract

Riau Province is an area that is prone to forest and land fires, especially in peat ecosystem areas which are flammable during the dry season. This study aims to analyze information on the distribution map of the severity of peatland areas that have been burned from Sentinel-2 satellite imagery data which has high temporal and spasial resolution. The method used in this study is to use the method Relativized Burn Ratio (RBR). The calculated value of the RBR can be used to assess the severity of the burned area. The range of values in the RBR is between -0.5 to +1.3 which refers to the source United States Geological Survey (USGS) so that later it can be classified. The analysis process in processing image data requires data in the form of distribution of peatlands, image maps before burning and after burning. Calculation processing and analysis requires the help of a Geographic Information System (GIS) application, in this case the SNAP application (Sentinel Aplication Platform) and ArcGis are used to process image data and the process of classifying the severity of the burned area. The results of this study are a map of the severity of peat forest fires in the Bagan Sinembah District area, Rokan Hilir Regency, Riau Province from July 13 2019 to August 17 2019. The total area of burned land is 6348.68 hectares. Meanwhile, 48,403.08 hectares of land were not affected by the fires. In order to obtain the results of the percentage of fires as much as 12% of the total area.

Keywords: Burn Severity, Sentinel-2, Relativized Burn Ratio (RBR)