Journal article 1476 views 305 downloads
Evaluating the potential of LiDAR data for fire damage assessment: A radiative transfer model approach
Mariano García,
Peter North
,
Alba Viana-Soto,
Natasha E. Stavros,
Jacqueline Rosette
,
M. Pilar Martín,
Magí Franquesa,
Rosario González-Cascón,
David Riaño,
Javier Becerra,
Kaiguang Zhao
Remote Sensing of Environment, Volume: 247, Start page: 111893
Swansea University Authors:
Peter North , Jacqueline Rosette
-
PDF | Accepted Manuscript
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DOI (Published version): 10.1016/j.rse.2020.111893
Abstract
Evaluating the potential of LiDAR data for fire damage assessment: A radiative transfer model approach
| Published in: | Remote Sensing of Environment |
|---|---|
| ISSN: | 0034-4257 |
| Published: |
Elsevier BV
2020
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| Online Access: |
Check full text
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa54384 |
| first_indexed |
2020-06-04T19:09:47Z |
|---|---|
| last_indexed |
2023-01-11T14:32:24Z |
| id |
cronfa54384 |
| recordtype |
SURis |
| fullrecord |
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2022-09-29T14:53:42.4114715 v2 54384 2020-06-04 Evaluating the potential of LiDAR data for fire damage assessment: A radiative transfer model approach fc45a0cb36c24d6cf35313a8c808652f 0000-0001-9933-6935 Peter North Peter North true false 0307f116e8f87a83cf4080c493fb7590 0000-0002-2589-0244 Jacqueline Rosette Jacqueline Rosette true false 2020-06-04 BGPS Journal Article Remote Sensing of Environment 247 111893 Elsevier BV 0034-4257 15 9 2020 2020-09-15 10.1016/j.rse.2020.111893 COLLEGE NANME Biosciences Geography and Physics School COLLEGE CODE BGPS Swansea University 2022-09-29T14:53:42.4114715 2020-06-04T15:26:57.3775977 Faculty of Science and Engineering School of Biosciences, Geography and Physics - Geography Mariano García 1 Peter North 0000-0001-9933-6935 2 Alba Viana-Soto 3 Natasha E. Stavros 4 Jacqueline Rosette 0000-0002-2589-0244 5 M. Pilar Martín 6 Magí Franquesa 7 Rosario González-Cascón 8 David Riaño 9 Javier Becerra 10 Kaiguang Zhao 11 54384__17418__dbd44ad373304317a83764f9b2f978dc.pdf RSE-D-19-02086R1.pdf 2020-06-04T15:30:52.4071887 Output 2948036 application/pdf Accepted Manuscript true 2021-11-26T00:00:00.0000000 true English |
| title |
Evaluating the potential of LiDAR data for fire damage assessment: A radiative transfer model approach |
| spellingShingle |
Evaluating the potential of LiDAR data for fire damage assessment: A radiative transfer model approach Peter North Jacqueline Rosette |
| title_short |
Evaluating the potential of LiDAR data for fire damage assessment: A radiative transfer model approach |
| title_full |
Evaluating the potential of LiDAR data for fire damage assessment: A radiative transfer model approach |
| title_fullStr |
Evaluating the potential of LiDAR data for fire damage assessment: A radiative transfer model approach |
| title_full_unstemmed |
Evaluating the potential of LiDAR data for fire damage assessment: A radiative transfer model approach |
| title_sort |
Evaluating the potential of LiDAR data for fire damage assessment: A radiative transfer model approach |
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fc45a0cb36c24d6cf35313a8c808652f 0307f116e8f87a83cf4080c493fb7590 |
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fc45a0cb36c24d6cf35313a8c808652f_***_Peter North 0307f116e8f87a83cf4080c493fb7590_***_Jacqueline Rosette |
| author |
Peter North Jacqueline Rosette |
| author2 |
Mariano García Peter North Alba Viana-Soto Natasha E. Stavros Jacqueline Rosette M. Pilar Martín Magí Franquesa Rosario González-Cascón David Riaño Javier Becerra Kaiguang Zhao |
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Journal article |
| container_title |
Remote Sensing of Environment |
| container_volume |
247 |
| container_start_page |
111893 |
| publishDate |
2020 |
| institution |
Swansea University |
| issn |
0034-4257 |
| doi_str_mv |
10.1016/j.rse.2020.111893 |
| publisher |
Elsevier BV |
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Faculty of Science and Engineering |
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|
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facultyofscienceandengineering |
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Faculty of Science and Engineering |
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facultyofscienceandengineering |
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Faculty of Science and Engineering |
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School of Biosciences, Geography and Physics - Geography{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Biosciences, Geography and Physics - Geography |
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1 |
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| published_date |
2020-09-15T04:48:28Z |
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1851095366914539520 |
| score |
11.089386 |

