Forecasting Peatland Fires by Using Terra/Aqua Modis Data

Fires occur every dry season. The frequency of fires is increasing each year. Peat fires often occur in developed and developing countries. Peat fires also occurred in Indonesia, particularly Sumatra, Kalimantan and Papua. Peat fires can be monitored by utilizing remote sensing technology, using the hotspot data from Terra / Aqua MODIS. The more hotspots, the higher is the potential peat fires. Knowing the frequency and distribution of hotspots is expected to reduce the impact of fire. The objective of this study was to determine the utilization of modis data to analyze frequency and distribution peatland future fires . This study is exploratory and descriptive. The method used in this research is quantitative. Collecting data using secondary data is data Hotspot. Hotspot image obtained from Terra / Aqua MODIS with the implementation of the algorithm for the fire. Hotspots are classified into three: confidence low, medium and high. Spatial analysis is done between data hotspot with the image of the spectral transformation. The results showed that the distribution of the most concentrated Hotspot District of Simpang Empat as many as 821 include a satellite 419 satellite 402 aqua and terra. District of Cintapuri Darussalam was the District in the last eight years was not found hotspots. Distribution and frequency of hotspots on the surface of the earth is an indication of a peat fire. Faster detection can be done immediately for prevention by forecasting.