SPATIAL DISTRIBUTION PATTERNS ANALYSIS OF HOTSPOT IN CENTRAL KALIMANTAN USING FIMRS MODIS DATA

Authors

Adisty Pratamasari, Master Program of Geography, Department of Geography, Faculty of Mathematics and Natural Sciences, Universitas Indonesia, Depok, Indonesia; Geospatial Information Agency, Bogor, Indonesia
Ni Ketut Feny Permatasari, Master Program of Geography, Department of Geography, Faculty of Mathematics and Natural Sciences, Universitas Indonesia, Depok, Indonesia; Meteorological, Climatological, and Geophysical Agency, Jakarta, Indonesia
Tia Pramudiyasari, Master Program of Geography, Department of Geography, Faculty of Mathematics and Natural Sciences, Universitas Indonesia, Depok, Indonesia; Meteorological, Climatological, and Geophysical Agency, Jakarta, Indonesia
Masita Dwi Mandini Manessa, Department of Geography, Faculty of Mathematics and Natural Sciences, Universitas Indonesia, Depok, IndonesiaFollow
Supriatna Supriatna, Department of Geography, Faculty of Mathematics and Natural Sciences, Universitas Indonesia, Depok, Indonesia

Abstract

One of the ways to observe the hotspot created by forest fires in Indonesia is through Remote sensing imagery, such as MODIS, NOAA AVHRR, etc. Central Kalimantan is one of the areas in Indonesia with the highest hotspot data. In this research, MODIS FIRMS hotspot data in Central Kalimantan collected from 2017 – 2019, covering 13 districts: South Barito, East Barito, North Barito, Mount Mas, Kapuas, Katingan, Palangkaraya City, West Kotawaringin, East Kotawaringin, Lamandau, Murung Raya, Pulang Pisau, Seruyan, and Sukamara. That is four aspects that this research evaluated: 1) evaluating the spatial pattern using the Nearest Neighbor Analysis (NNA); 2) evaluate the hotspot density appearance using Kernel Density; and 3) correlation analysis between rainfall data and MODIS FIRMS. As a result, the hotspot in Central Kalimantan shows a clustered pattern. While the natural breaks KDE algorithm shows the most relevant result to represent the hotspot distribution. Finally, the hotspot is low correlated with rainfall; however, is see that most of the hotspot (~90%) appeared in low rainfall month (less than 3000 mm/month).

Recommended Citation

Pratamasari, Adisty; Permatasari, Ni Ketut Feny; Pramudiyasari, Tia; Manessa, Masita Dwi Mandini; and Supriatna, Supriatna (2020) "SPATIAL DISTRIBUTION PATTERNS ANALYSIS OF HOTSPOT IN CENTRAL KALIMANTAN USING FIMRS MODIS DATA," Jurnal Geografi Lingkungan Tropik (Journal of Geography of Tropical Environments): Vol. 4: No. 1, Article 2.
DOI: 10.7454/jglitrop.v4i1.74
Available at: https://scholarhub.ui.ac.id/jglitrop/vol4/iss1/2