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Estimating forest canopy parameters from satellite waveform LiDAR by inversion of the FLIGHT three-dimensional radiative transfer model
I.J. Bye,
Peter North ,
Sietse Los,
Natascha Kljun ,
J.A.B. Rosette,
C. Hopkinson,
L. Chasmer,
C. Mahoney
Remote Sensing of Environment, Volume: 188, Pages: 177 - 189
Swansea University Authors: Peter North , Sietse Los, Natascha Kljun
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©2016. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
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DOI (Published version): 10.1016/j.rse.2016.10.048
Abstract
Estimating forest canopy parameters from satellite waveform LiDAR by inversion of the FLIGHT three-dimensional radiative transfer model
Published in: | Remote Sensing of Environment |
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ISSN: | 00344257 |
Published: |
2017
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URI: | https://cronfa.swan.ac.uk/Record/cronfa31335 |
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2020-07-16T15:35:33.5556460 v2 31335 2016-11-29 Estimating forest canopy parameters from satellite waveform LiDAR by inversion of the FLIGHT three-dimensional radiative transfer model fc45a0cb36c24d6cf35313a8c808652f 0000-0001-9933-6935 Peter North Peter North true false 6d529d947d3b37d7597b36956983cf16 Sietse Los Sietse Los true false c96172d106206ba8c504317bb7887587 0000-0001-9650-2184 Natascha Kljun Natascha Kljun true false 2016-11-29 SGE Journal Article Remote Sensing of Environment 188 177 189 00344257 31 12 2017 2017-12-31 10.1016/j.rse.2016.10.048 COLLEGE NANME Geography COLLEGE CODE SGE Swansea University 2020-07-16T15:35:33.5556460 2016-11-29T21:38:39.1043777 Faculty of Science and Engineering School of Biosciences, Geography and Physics - Geography I.J. Bye 1 Peter North 0000-0001-9933-6935 2 Sietse Los 3 Natascha Kljun 0000-0001-9650-2184 4 J.A.B. Rosette 5 C. Hopkinson 6 L. Chasmer 7 C. Mahoney 8 0031335-02122016120333.pdf bye_etal_2017_cronfa.pdf 2016-12-02T12:03:33.8300000 Output 455013 application/pdf Accepted Manuscript true 2017-11-17T00:00:00.0000000 ©2016. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ true |
title |
Estimating forest canopy parameters from satellite waveform LiDAR by inversion of the FLIGHT three-dimensional radiative transfer model |
spellingShingle |
Estimating forest canopy parameters from satellite waveform LiDAR by inversion of the FLIGHT three-dimensional radiative transfer model Peter North Sietse Los Natascha Kljun |
title_short |
Estimating forest canopy parameters from satellite waveform LiDAR by inversion of the FLIGHT three-dimensional radiative transfer model |
title_full |
Estimating forest canopy parameters from satellite waveform LiDAR by inversion of the FLIGHT three-dimensional radiative transfer model |
title_fullStr |
Estimating forest canopy parameters from satellite waveform LiDAR by inversion of the FLIGHT three-dimensional radiative transfer model |
title_full_unstemmed |
Estimating forest canopy parameters from satellite waveform LiDAR by inversion of the FLIGHT three-dimensional radiative transfer model |
title_sort |
Estimating forest canopy parameters from satellite waveform LiDAR by inversion of the FLIGHT three-dimensional radiative transfer model |
author_id_str_mv |
fc45a0cb36c24d6cf35313a8c808652f 6d529d947d3b37d7597b36956983cf16 c96172d106206ba8c504317bb7887587 |
author_id_fullname_str_mv |
fc45a0cb36c24d6cf35313a8c808652f_***_Peter North 6d529d947d3b37d7597b36956983cf16_***_Sietse Los c96172d106206ba8c504317bb7887587_***_Natascha Kljun |
author |
Peter North Sietse Los Natascha Kljun |
author2 |
I.J. Bye Peter North Sietse Los Natascha Kljun J.A.B. Rosette C. Hopkinson L. Chasmer C. Mahoney |
format |
Journal article |
container_title |
Remote Sensing of Environment |
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188 |
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177 |
publishDate |
2017 |
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Swansea University |
issn |
00344257 |
doi_str_mv |
10.1016/j.rse.2016.10.048 |
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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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facultyofscienceandengineering |
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Faculty of Science and Engineering |
department_str |
School of Biosciences, Geography and Physics - Geography{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Biosciences, Geography and Physics - Geography |
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published_date |
2017-12-31T03:38:17Z |
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score |
11.036706 |