Hotspots Forest Fire Susceptibility Mapping for Land Use or Land Cover using Remote Sensing and Geographical Information Systems (GIS). Issue 1 (1st July 2022)

• Record Type: Journal Article
• Authors: Ya'acob, Norsuzila; Jamil, Ili Atiqah Abdul; Aziz, Nur Farhana Abd.; Yusof, Azita Laily; Kassim, Murizah; Naim, Nani Fadzlina
• Is Part Of: IOP conference series. Volume 1064:Issue 1(2022)
• Publication Date: 2022-07-01
• Subjects: Forest fire hotspot map -- AHP method -- NDVI -- Land cover Land Use; Earth sciences -- Periodicals; Environmental sciences -- Congresses; Environmental sciences -- Periodicals; 550.5
• DOI: 10.1088/1755-1315/1064/1/012029
• Languages: English
• ISSNs: 1755-1307

Abstract

Abstract: Forest fire is a very common natural disaster or caused by humans that happens throughout the year in a humid country like Malaysia. Forest fire had caused many problems like haze and disruption of the environment. The peat-swamp areas are more susceptible to forest fire due to having a relatively spongy forest floor and covered with a thick and dense layer of humus. The objective of this research is to determine active fire hotspots at Raja Musa Forest Reserve, Kuala Selangor by using Landsat 8 infrared based images for forest fire mapping. The method used to develop a hotspot susceptibility forest map is by using the Analytical Hierarchy Process (AHP). Land cover or land use (LULC), Land Surface Temperature (LST), Fuel type, road to map and Normalized Difference Vegetation Index (NDVI) were used to determine the vulnerability of study by using satellite images from LANDSAT 8. The findings from the MODIS real-time forest fire hotspot data and kappa coefficient to check the consistency of the LULC classification. After obtaining the weightage value of each factors map, the weightage overlay tool from GIS were used to find the significant weight of the hotspot susceptibility forest fire map.