Spatio-Temporal Clustering for Fire Hot Spots Occurrence Over Sulawesi Island

Abstract

Forest fire is a condition where an area where there are many trees and plants undergo a change in shape caused by massive burning. Forest fires occur in Indonesia especially on the island of Sulawesi. Sulawesi Island itself is an island that still has quite extensive forests. The cause of forest fires is caused by two factors, namely natural and human. Indicators of forest fires can be known from the appearance of hotspots or hot spots. A hotspot is an indicator of an area that has a relatively higher surface temperature than the surrounding surface temperature that has been detected by Terra / Aqua satellites with a MODIS sensor. Furthermore, the hotspots are not only randomly distributed but also clustered. The research related to the identification process of hotspot distribution patterns in an area in Sulawesi is still limited and has its novelty. Here we showed the implementation of Spatio-temporal clustering method with ST-DBSCAN algorithm, aided with Waterfall system development. The result showed that there are several types of distribution patterns generated by the system (Stationary, Regular Reaping, Irregular, Occasional, and Track) from the data used from 2016 to 2018 over Sulawesi island. In this research, we also found that between 2016 and 2018, the emergence of high tendency hotspots occurred in July, August, September, and October.