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...
Published in: | IOP Conference Series: Earth and Environmental Science |
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Language: | English |
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Institute of Physics
2022
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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 |
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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 |
_version_ |
1809678480701390848 |