Machine learning-driven wildfire susceptibility mapping in New South Wales, Australia using remote sensing and explainable artificial intelligence.
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| Title: | Machine learning-driven wildfire susceptibility mapping in New South Wales, Australia using remote sensing and explainable artificial intelligence. |
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| Authors: | Zakari, Rufai Yusuf1 (AUTHOR) 21h8562@ubd.edu.bn, Malik, Owais Ahmed1 (AUTHOR) owais.malik@ubd.edu.bn, Wee-Hong, Ong1 (AUTHOR) weehong.ong@ubd.edu.bn |
| Source: | Natural Hazards. Jul2025, Vol. 121 Issue 13, p15331-15357. 27p. |
| Database: | Environment Complete |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: eih DbLabel: Environment Complete An: 187093278 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=187093278 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11069-025-07395-w Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 27 StartPage: 15331 Titles: – TitleFull: Machine learning-driven wildfire susceptibility mapping in New South Wales, Australia using remote sensing and explainable artificial intelligence. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Zakari, Rufai Yusuf – PersonEntity: Name: NameFull: Malik, Owais Ahmed – PersonEntity: Name: NameFull: Wee-Hong, Ong IsPartOfRelationships: – BibEntity: Dates: – D: 20 M: 07 Text: Jul2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 0921030X Numbering: – Type: volume Value: 121 – Type: issue Value: 13 Titles: – TitleFull: Natural Hazards Type: main |
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