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All Journal Forum Geografi International Journal of Remote Sensing and Earth Sciences (IJReSES)
Nainggolan, Hermanto Asima
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Earth & Planetary Sciences

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GIS-based Flood Susceptibility Mapping Using Overlay Method in Central Sulawesi Hutauruk, Rheinhart Christian; Alfiandy, Solih; Nainggolan, Hermanto Asima; Raharjo, Mas Harya Fitra Yudo
Forum Geografi Vol 34, No 2 (2020): December 2020
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v34i2.10667

Abstract

Central Sulawesi is the largest province on the Sulawesi island with a dominant sloping topographic condition and has a variety of soil types, flow density, land use and rainfall that makes this region vulnerable to flooding. Flooding is a hydrometeorological disaster that will adversely affect aspects of human life such as social and economic activities in an area because it can cause environmental damage, casualties and disrupt economic activity. Because of its enormous impact, the purpose of this research study is to find out areas in the province of Central Sulawesi that are suscept to flooding. The method used in this research study is scoring the classification of flood hazard parameters such as slope level, elevation, soil type, rainfall, land use and flow density which are then overlay using ArcGis 10.2.2. The results obtained that the province of Central Sulawesi has three categories of areas suscept to flooding with a low category 6630.3 km2, moderate 46081.9 km2 and high category 7104.7 km2. Based on the results and discussion, it can be concluded that Central Sulawesi province has a dominant level of vulnerability which is moderate.
UTILISATION OF NASA - GFWED AND FIRMS SATELLITE DATA IN DETERMINING THE PROBABILITY OF HOTSPOTS USING THE FIRE WEATHER INDEX (FWI) IN OGAN KOMERING ILIR REGENCY, SOUTH SUMATRA Nainggolan, Hermanto Asima; Veanti, Desak Putu Okta; Akbar, Dzikrullah
International Journal of Remote Sensing and Earth Sciences (IJReSES) Vol 17, No 1 (2020)
Publisher : National Institute of Aeronautics and Space of Indonesia (LAPAN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2020.v17.a3202

Abstract

Prevention and mitigation of forest and land fires have important roles considering its various negative impacts. Throughout 2018, in Ogan Komering Ilir District, 864 hectares of land burned. This data increased significantly compared to the burned area in the previous year. Lack of field meteorological observation is still a problem in solving the problem of forest fire in the region. Consequently, we utilize NASA - GFWED and FIRMS satellite data to analyze the hotspots probabilities in Ogan Komering Ilir District, South Sumatra. Conditional probability analysis will be used to find out the likelihood of hotspots based on FWI and FFMC from 2001 to 2016. More than 50 percent of hotspots appear during extreme FFMC class and high to extreme FWI class. The probability of hotspots for extreme FFMC class and extreme FWI class varied between 0.3 to 10.4 % and 0.1 to 3.8 % respectively. Meanwhile, fire-prone areas with the highest density of fires are in the sub-district of Tulung Selapan, and the safest region is the Cengal sub-district.
Co-Authors Akbar, Dzikrullah Alfiandy, Solih Hutauruk, Rheinhart Christian Raharjo, Mas Harya Fitra Yudo Veanti, Desak Putu Okta