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A Novel Methodology to Estimate Single-Tree Biophysical Parameters from 3D Digital Imagery Compared to Aerial Laser Scanner Data

Rocío Hernández-Clemente, Rafael Navarro-Cerrillo, Francisco Ramírez, Alberto Hornero, Pablo Zarco-Tejada, Rocio Hernandez-Clemente

Remote Sensing, Volume: 6, Issue: 11, Pages: 11627 - 11648

Swansea University Author: Rocio Hernandez-Clemente

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DOI (Published version): 10.3390/rs61111627

Published in: Remote Sensing
ISSN: 2072-4292
Published: 2014
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URI: https://cronfa.swan.ac.uk/Record/cronfa32946
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first_indexed 2017-04-05T19:00:44Z
last_indexed 2018-02-09T05:21:25Z
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spelling 2017-07-17T16:46:08.2902486 v2 32946 2017-04-05 A Novel Methodology to Estimate Single-Tree Biophysical Parameters from 3D Digital Imagery Compared to Aerial Laser Scanner Data 0b007e63ef097cd47d6bc60b58379103 Rocio Hernandez-Clemente Rocio Hernandez-Clemente true false 2017-04-05 FGSEN Journal Article Remote Sensing 6 11 11627 11648 2072-4292 30 11 2014 2014-11-30 10.3390/rs61111627 http://www.mdpi.com/2072-4292/6/11/11627 COLLEGE NANME Science and Engineering - Faculty COLLEGE CODE FGSEN Swansea University 2017-07-17T16:46:08.2902486 2017-04-05T13:39:36.7863552 Faculty of Science and Engineering School of Biosciences, Geography and Physics - Geography Rocío Hernández-Clemente 1 Rafael Navarro-Cerrillo 2 Francisco Ramírez 3 Alberto Hornero 4 Pablo Zarco-Tejada 5 Rocio Hernandez-Clemente 6 0032946-26042017142514.pdf remotesensing.pdf 2017-04-26T14:25:14.1430000 Output 1321470 application/pdf Version of Record true 2014-11-21T00:00:00.0000000 This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/). true eng
title A Novel Methodology to Estimate Single-Tree Biophysical Parameters from 3D Digital Imagery Compared to Aerial Laser Scanner Data
spellingShingle A Novel Methodology to Estimate Single-Tree Biophysical Parameters from 3D Digital Imagery Compared to Aerial Laser Scanner Data
Rocio Hernandez-Clemente
title_short A Novel Methodology to Estimate Single-Tree Biophysical Parameters from 3D Digital Imagery Compared to Aerial Laser Scanner Data
title_full A Novel Methodology to Estimate Single-Tree Biophysical Parameters from 3D Digital Imagery Compared to Aerial Laser Scanner Data
title_fullStr A Novel Methodology to Estimate Single-Tree Biophysical Parameters from 3D Digital Imagery Compared to Aerial Laser Scanner Data
title_full_unstemmed A Novel Methodology to Estimate Single-Tree Biophysical Parameters from 3D Digital Imagery Compared to Aerial Laser Scanner Data
title_sort A Novel Methodology to Estimate Single-Tree Biophysical Parameters from 3D Digital Imagery Compared to Aerial Laser Scanner Data
author_id_str_mv 0b007e63ef097cd47d6bc60b58379103
author_id_fullname_str_mv 0b007e63ef097cd47d6bc60b58379103_***_Rocio Hernandez-Clemente
author Rocio Hernandez-Clemente
author2 Rocío Hernández-Clemente
Rafael Navarro-Cerrillo
Francisco Ramírez
Alberto Hornero
Pablo Zarco-Tejada
Rocio Hernandez-Clemente
format Journal article
container_title Remote Sensing
container_volume 6
container_issue 11
container_start_page 11627
publishDate 2014
institution Swansea University
issn 2072-4292
doi_str_mv 10.3390/rs61111627
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title 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
url http://www.mdpi.com/2072-4292/6/11/11627
document_store_str 1
active_str 0
published_date 2014-11-30T03:40:32Z
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score 11.012678

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