Prediction of Thermal Response of Burning Outdoor Vegetation Using UAS-Based Remote Sensing and Artificial Intelligence.
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| Title: | Prediction of Thermal Response of Burning Outdoor Vegetation Using UAS-Based Remote Sensing and Artificial Intelligence. |
|---|---|
| Authors: | Keerthinathan, Pirunthan1 (AUTHOR) pirunthan.keerthinathan@hdr.qut.edu.au, Subasinghe, Imanthi Kalanika2 (AUTHOR), Krishnakumar, Thanirosan2,3 (AUTHOR), Ariyanayagam, Anthony1,2 (AUTHOR), Hamilton, Grant2,3 (AUTHOR), Gonzalez, Felipe1,3 (AUTHOR) |
| Source: | Remote Sensing. Oct2025, Vol. 17 Issue 20, p3454. 25p. |
| Database: | Academic Search Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 188952384 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Prediction of Thermal Response of Burning Outdoor Vegetation Using UAS-Based Remote Sensing and Artificial Intelligence. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Keerthinathan%2C+Pirunthan%22">Keerthinathan, Pirunthan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> pirunthan.keerthinathan@hdr.qut.edu.au</i><br /><searchLink fieldCode="AR" term="%22Subasinghe%2C+Imanthi+Kalanika%22">Subasinghe, Imanthi Kalanika</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Krishnakumar%2C+Thanirosan%22">Krishnakumar, Thanirosan</searchLink><relatesTo>2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ariyanayagam%2C+Anthony%22">Ariyanayagam, Anthony</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hamilton%2C+Grant%22">Hamilton, Grant</searchLink><relatesTo>2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gonzalez%2C+Felipe%22">Gonzalez, Felipe</searchLink><relatesTo>1,3</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Remote+Sensing%22">Remote Sensing</searchLink>. Oct2025, Vol. 17 Issue 20, p3454. 25p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=188952384 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/rs17203454 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 25 StartPage: 3454 Titles: – TitleFull: Prediction of Thermal Response of Burning Outdoor Vegetation Using UAS-Based Remote Sensing and Artificial Intelligence. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Keerthinathan, Pirunthan – PersonEntity: Name: NameFull: Subasinghe, Imanthi Kalanika – PersonEntity: Name: NameFull: Krishnakumar, Thanirosan – PersonEntity: Name: NameFull: Ariyanayagam, Anthony – PersonEntity: Name: NameFull: Hamilton, Grant – PersonEntity: Name: NameFull: Gonzalez, Felipe IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 10 Text: Oct2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 20724292 Numbering: – Type: volume Value: 17 – Type: issue Value: 20 Titles: – TitleFull: Remote Sensing Type: main |
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