Mapping of fire level using S-NPP VIIRS as disaster management reference in Banjarbaru City

Abstract

Abstract Fire is a natural disaster that usually occurs during dry season in both developed and developing countries. Best visualization of fire information is a map, because map is easy to use, and has a strong visual impression. Maps can also be used as a medium to deliver fire mitigation instruction. Fire data can be seen from hotspots data recorded using S-NPP VIIRS satellite imagery. Hotspot data from satellite imagery processed in Arc GIS to compose Fire Level Maps which is then used as fire disaster management reference. Based on this, it is necessary to conduct a study which purposively can map a fire level from S-NPP VIIRS satellite imagery hotspot data so it can used as disaster management reference. So this study entitled as Mapping of Fire Levels using S-NPP VIIRS as a Disaster Management Reference. This research is classified as quantitative descriptive research. Population and samples of the research are all hotspots recorded by S-NPP VIIRS satellite imagery in Banjarbaru City covering Banjarbaru Utara, Landasan Ulin, Cempaka, Banjarbaru Selatan and Lianganggang Subdistrict from 2012-2022. Monthly hotspot data is used in this research and are based on high, medium and low confidence levels. Hotspot data recorded from satellite imagery is processed using geographic information systems and remote sensing technology. The results show the number of hotspots recorded from S-NPP VIIRS Satellite Imagery from 2012-2022 in Banjarbaru City was 2.900 hotspot. The highest number of hotspots was in Linganggang (1429 hotspot) followed by Landasan Ulin (1.165 hotspot) and the least in Banjarbaru Selatan (14 hotspot). Most hotspots are found in dry months; August (307 hotspot), September (1.370 hotspot), October (1.053 hotspot) and November (128 hotspot). The number of hotspots based on the medium level of confidence is mostly found in Banjarbaru City (2.560 hotspot). High number of high and medium confidence hotspots data resulting into higher fire risk. Result from hotspot data processing is a Fire Level Map which can be used as a basis for disaster management so that the negative impact of fires can be minimized.