Seasonal Analysis of the Hotspot Spatial Grid in Indonesia and the Relationship of the Hotspot Grid with the Nino SST Indices

• Published in: 2020 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS) pp. 63 - 68
• Main Authors: Dewa Gede Arya Putra, I, Heriyanto, Eko, Sopaheluwakan, Ardhasena, Pradana, Radyan Putra, Nuryanto, Danang Eko
• Format: Conference Proceeding
• Language: English
• Published: IEEE 07-12-2020
• Subjects: Correlation; Distance measurement; Economics; Forestry; Graphical models; Hotspot Grid; Seasonal; Spatial resolution; SST Nino Indices; Time series analysis
• DOI: 10.1109/AGERS51788.2020.9452775

Forest fires have caused significant economic losses and environmental damage. The phenomenon of Nino variability in the Pacific region has affected the occurrence of forest fires in Indonesia. The hotspot data gridding in this study aims to change the host data format to make it more universal with other geodata, most of which are already in the grid matrix format in the NetCDF data format to facilitate the need for spatial and temporal analysis and interpretation. The method in this analysis is to add up the daily hotspots with a hotspot confidence level above 80% in a grid area with a spatial resolution of 25 km 2 per month, then create a time series from 2001 to 2019 with the research domain of all parts of Indonesia. Based on gridding data, the spatial distribution of the number of dominant hotspots over 100 hotspots occurs during the JJA and SON seasons in Jambi, South Sumatra, West Kalimantan, Central Kalimantan, South Kalimantan, and East Kalimantan. Based on the spatial correlation of hotspots with Nino 1.2, Nino 3, Nino 3.4, and Nino 4, there is a positive correlation with coefficient values ranging from 0.1 to 0.4 for almost all parts of Indonesia except northern Sumatra which is negatively correlated around -0.1.