Utilization of MODIS data to analyze the forest/land fires frequency and distribution (case study : Central Kalimantan Province)

1st International Conference on Environmental Geography and Geography Education

生态环境科学;地球科学

Sabani, W.^1 ; Rahmadewi, D.P.^1 ; Rahmi, K.I.N.^2 ; Priyatna, M.^2 ; Kurniawan, E.^1

Geography Department, Faculty of Social Science, Universitas Negeri Semarang, Semarang

50229, Indonesia^1

Remote Sensing Applications Center, Indonesia National Institute of Aeronautics and Space, Jakarta

13710, Indonesia^2

关键词: Confidence levels;    Direct impact;    High frequency HF;    Kalimantan;    Near-real time;    Remote sensing technology;    Three categories;    Trans-boundary;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/243/1/012032/pdf
DOI  :  10.1088/1755-1315/243/1/012032

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

Forest/land fire often occurs in Indonesia particularly in Sumatera, Kalimantan, and Papua. This phenomenon has direct impact not only in Indonesia but also transboundary countries. To minimize this impact, remote sensing technology can be used to monitor forest/land fire using hotspot from Terra/Aqua MODIS data which good have 2 equatorial revisit times per day i.e. 10.30 a.m. for Terra and 1.30 p.m. for Aqua in near real time. The objectives of this study was to analyze the frequency and spatial distribution of hotspot in Central Kalimantan Province using Terra/Aqua MODIS. Hotspot is derived from Terra/Aqua MODIS data using algorithm which available daily in LAPAN system. Hotspot classified into three categories of confidence level i.e. low (0-30%), medium (30-80%), high (80-100%). RGB 1-2-18 were used as base map layer to analyze the spatial distribution of three hotspot categories. The result shows that there was hotspots concentrated in Kotawaringin Timur and Pulang Pisau Regency which it was burn peat hydrological unit area. Thus, peat land area that covers with shrubs, etc is hard to extinguish which relate to the frequency of hotspot. High frequency hotspot occurs in September 27th 2018 then decreasing until October 6th 2018 (10 days).