Identification of forest fire-prone region in Lamington National Park using GIS-based multicriteria technique: validation using field and Sentinel-2-based observations
Lamington National Park in Queensland, Australia, is increasingly threatened by wildfires, intensified by climate change. This study integrates remote sensing, GIS, and the Analytical Hierarchy Process (AHP) to identify fire-prone areas within the park. Eight parameters were analyzed, with major fue...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2025-12-01
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| Series: | Geocarto International |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/10106049.2025.2462484 |
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| author | Harikesh Singh Sanjeev Kumar Srivastava |
| author_facet | Harikesh Singh Sanjeev Kumar Srivastava |
| author_sort | Harikesh Singh |
| collection | DOAJ |
| description | Lamington National Park in Queensland, Australia, is increasingly threatened by wildfires, intensified by climate change. This study integrates remote sensing, GIS, and the Analytical Hierarchy Process (AHP) to identify fire-prone areas within the park. Eight parameters were analyzed, with major fuel type being the most significant. Multispectral satellite data provided essential insights into landscape changes and vegetation stress, enhancing the understanding of wildfire risks. Historical records, field observations, and remote sensing data were utilized to develop and validate a Forest Fire Risk Index map, highlighting heightened fire susceptibility in the northern and eastern regions due to subtropical humid conditions. The findings emphasise the importance of advanced spatial analysis for proactive wildfire management. Combining remote sensing with GIS and multicriteria decision-making equips conservationists and policymakers with critical tools to strengthen wildfire response strategies, safeguard vital ecosystems, and protect surrounding communities. This approach is valuable for managing similar landscapes globally. |
| format | Article |
| id | doaj-art-1bced52a60fe4fa988aa76fa519d915b |
| institution | DOAJ |
| issn | 1010-6049 1752-0762 |
| language | English |
| publishDate | 2025-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Geocarto International |
| spelling | doaj-art-1bced52a60fe4fa988aa76fa519d915b2025-08-20T03:12:09ZengTaylor & Francis GroupGeocarto International1010-60491752-07622025-12-0140110.1080/10106049.2025.2462484Identification of forest fire-prone region in Lamington National Park using GIS-based multicriteria technique: validation using field and Sentinel-2-based observationsHarikesh Singh0Sanjeev Kumar Srivastava1School of Science Technology and Engineering, University of the Sunshine Coast, Sippy Downs, QLD, AustraliaSchool of Science Technology and Engineering, University of the Sunshine Coast, Sippy Downs, QLD, AustraliaLamington National Park in Queensland, Australia, is increasingly threatened by wildfires, intensified by climate change. This study integrates remote sensing, GIS, and the Analytical Hierarchy Process (AHP) to identify fire-prone areas within the park. Eight parameters were analyzed, with major fuel type being the most significant. Multispectral satellite data provided essential insights into landscape changes and vegetation stress, enhancing the understanding of wildfire risks. Historical records, field observations, and remote sensing data were utilized to develop and validate a Forest Fire Risk Index map, highlighting heightened fire susceptibility in the northern and eastern regions due to subtropical humid conditions. The findings emphasise the importance of advanced spatial analysis for proactive wildfire management. Combining remote sensing with GIS and multicriteria decision-making equips conservationists and policymakers with critical tools to strengthen wildfire response strategies, safeguard vital ecosystems, and protect surrounding communities. This approach is valuable for managing similar landscapes globally.https://www.tandfonline.com/doi/10.1080/10106049.2025.2462484Forest fireAHPforest fire risk indexremote sensingtime since burn |
| spellingShingle | Harikesh Singh Sanjeev Kumar Srivastava Identification of forest fire-prone region in Lamington National Park using GIS-based multicriteria technique: validation using field and Sentinel-2-based observations Geocarto International Forest fire AHP forest fire risk index remote sensing time since burn |
| title | Identification of forest fire-prone region in Lamington National Park using GIS-based multicriteria technique: validation using field and Sentinel-2-based observations |
| title_full | Identification of forest fire-prone region in Lamington National Park using GIS-based multicriteria technique: validation using field and Sentinel-2-based observations |
| title_fullStr | Identification of forest fire-prone region in Lamington National Park using GIS-based multicriteria technique: validation using field and Sentinel-2-based observations |
| title_full_unstemmed | Identification of forest fire-prone region in Lamington National Park using GIS-based multicriteria technique: validation using field and Sentinel-2-based observations |
| title_short | Identification of forest fire-prone region in Lamington National Park using GIS-based multicriteria technique: validation using field and Sentinel-2-based observations |
| title_sort | identification of forest fire prone region in lamington national park using gis based multicriteria technique validation using field and sentinel 2 based observations |
| topic | Forest fire AHP forest fire risk index remote sensing time since burn |
| url | https://www.tandfonline.com/doi/10.1080/10106049.2025.2462484 |
| work_keys_str_mv | AT harikeshsingh identificationofforestfireproneregioninlamingtonnationalparkusinggisbasedmulticriteriatechniquevalidationusingfieldandsentinel2basedobservations AT sanjeevkumarsrivastava identificationofforestfireproneregioninlamingtonnationalparkusinggisbasedmulticriteriatechniquevalidationusingfieldandsentinel2basedobservations |