Hotspots Forest Fire Susceptibility Mapping for Land Use or Land Cover using Remote Sensing and Geographical Information Systems (GIS)

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 s...

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Published in:IOP Conference Series: Earth and Environmental Science
Main Author: Ya'Acob N.; Jamil I.A.A.; Aziz N.F.A.; Yusof A.L.; Kassim M.; Naim N.F.
Format: Conference paper
Language:English
Published: Institute of Physics 2022
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135513072&doi=10.1088%2f1755-1315%2f1064%2f1%2f012029&partnerID=40&md5=2a6919c146da0cd5754bccea15b165c2
id 2-s2.0-85135513072
spelling 2-s2.0-85135513072
Ya'Acob N.; Jamil I.A.A.; Aziz N.F.A.; Yusof A.L.; Kassim M.; Naim N.F.
Hotspots Forest Fire Susceptibility Mapping for Land Use or Land Cover using Remote Sensing and Geographical Information Systems (GIS)
2022
IOP Conference Series: Earth and Environmental Science
1064
1
10.1088/1755-1315/1064/1/012029
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135513072&doi=10.1088%2f1755-1315%2f1064%2f1%2f012029&partnerID=40&md5=2a6919c146da0cd5754bccea15b165c2
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. © Published under licence by IOP Publishing Ltd.
Institute of Physics
17551307
English
Conference paper
All Open Access; Gold Open Access
author Ya'Acob N.; Jamil I.A.A.; Aziz N.F.A.; Yusof A.L.; Kassim M.; Naim N.F.
spellingShingle Ya'Acob N.; Jamil I.A.A.; Aziz N.F.A.; Yusof A.L.; Kassim M.; Naim N.F.
Hotspots Forest Fire Susceptibility Mapping for Land Use or Land Cover using Remote Sensing and Geographical Information Systems (GIS)
author_facet Ya'Acob N.; Jamil I.A.A.; Aziz N.F.A.; Yusof A.L.; Kassim M.; Naim N.F.
author_sort Ya'Acob N.; Jamil I.A.A.; Aziz N.F.A.; Yusof A.L.; Kassim M.; Naim N.F.
title Hotspots Forest Fire Susceptibility Mapping for Land Use or Land Cover using Remote Sensing and Geographical Information Systems (GIS)
title_short Hotspots Forest Fire Susceptibility Mapping for Land Use or Land Cover using Remote Sensing and Geographical Information Systems (GIS)
title_full Hotspots Forest Fire Susceptibility Mapping for Land Use or Land Cover using Remote Sensing and Geographical Information Systems (GIS)
title_fullStr Hotspots Forest Fire Susceptibility Mapping for Land Use or Land Cover using Remote Sensing and Geographical Information Systems (GIS)
title_full_unstemmed Hotspots Forest Fire Susceptibility Mapping for Land Use or Land Cover using Remote Sensing and Geographical Information Systems (GIS)
title_sort Hotspots Forest Fire Susceptibility Mapping for Land Use or Land Cover using Remote Sensing and Geographical Information Systems (GIS)
publishDate 2022
container_title IOP Conference Series: Earth and Environmental Science
container_volume 1064
container_issue 1
doi_str_mv 10.1088/1755-1315/1064/1/012029
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135513072&doi=10.1088%2f1755-1315%2f1064%2f1%2f012029&partnerID=40&md5=2a6919c146da0cd5754bccea15b165c2
description 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. © Published under licence by IOP Publishing Ltd.
publisher Institute of Physics
issn 17551307
language English
format Conference paper
accesstype All Open Access; Gold Open Access
record_format scopus
collection Scopus
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