Spatio-temporal pattern analysis of forest fire event in South Kalimantan using integration remote sensing data and GIS for forest fire disaster mitigation

Forest fire is one disaster that can paralyze various human activities, both in land and air, which can reach hundreds of hectares and is routine in Indonesia. Mitigation is important to reduce the number of fires and the impact will not damage the ecosystem. Spatio-temporal analysis can be used to know the pattern of an event in a certain period. This makes it possible to identify the factors of events that affected by time and see the changes that occur on the surface of the earth. Data that are used include remote sensing data of rainfall, peatland, palm oil plantation, land cover, hotspot in certain period that is processed using Geographic Information Systems (GIS). The methods used include extraction of forest fire event parameter, mapping of hotspot and forest fire parameter, spatio-temporal analysis, forest fire mitigation identification. The extraction result obtained influential parameters, such as land cover, land use, rainfall, climate, river, and road. Structural mitigation such as the construction of canals and ditches can anticipate the spread of fires. Canals can also be used as a control factor for hydrology. Meanwhile, non-structural mitigation can be done through policy planning based on hotspot distribution modelling. © Published under licence by IOP Publishing Ltd.