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Potential of Forest Parameter Estimation Using Metrics from Photon Counting LiDAR Data in Howland Research Forest

Bowei Chen, Yong Pang, Zengyuan Li, Peter North Orcid Logo, Jacqueline Rosette Orcid Logo, Guoqing Sun, Juan Suarez-Minguez, Iain Bye, Hao Lu

Remote Sensing, Volume: 11, Issue: 7, Start page: 856

Swansea University Authors: Bowei Chen, Peter North Orcid Logo, Jacqueline Rosette Orcid Logo, Juan Suarez-Minguez, Iain Bye

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DOI (Published version): 10.3390/rs11070856

Published in: Remote Sensing
ISSN: 2072-4292
Published: MDPI AG 2019
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URI: https://cronfa.swan.ac.uk/Record/cronfa50052
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first_indexed 2019-04-23T14:33:39Z
last_indexed 2023-01-11T14:26:24Z
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spelling 2022-09-29T14:55:05.0464400 v2 50052 2019-04-18 Potential of Forest Parameter Estimation Using Metrics from Photon Counting LiDAR Data in Howland Research Forest 16a82de88f74a3fc151c4063f002fdd2 Bowei Chen Bowei Chen true false fc45a0cb36c24d6cf35313a8c808652f 0000-0001-9933-6935 Peter North Peter North true false 0307f116e8f87a83cf4080c493fb7590 0000-0002-2589-0244 Jacqueline Rosette Jacqueline Rosette true false ad4952e433136ef38946f3c4bcfc5ff0 Juan Suarez-Minguez Juan Suarez-Minguez true false 86392cce1e20157c99cef2546409c208 Iain Bye Iain Bye true false 2019-04-18 FGSEN Journal Article Remote Sensing 11 7 856 MDPI AG 2072-4292 ICESat-2; photon counting LiDAR; forest parameters; LiDAR metrics 9 4 2019 2019-04-09 10.3390/rs11070856 COLLEGE NANME Science and Engineering - Faculty COLLEGE CODE FGSEN Swansea University 2022-09-29T14:55:05.0464400 2019-04-18T18:28:41.5475213 Faculty of Science and Engineering School of Biosciences, Geography and Physics - Geography Bowei Chen 1 Yong Pang 2 Zengyuan Li 3 Peter North 0000-0001-9933-6935 4 Jacqueline Rosette 0000-0002-2589-0244 5 Guoqing Sun 6 Juan Suarez-Minguez 7 Iain Bye 8 Hao Lu 9 0050052-15052019104347.pdf 50052.pdf 2019-05-15T10:43:47.9030000 Output 12761621 application/pdf Version of Record true Released under the terms of a Creative Commons Attribution License (CC-BY). true eng https://creativecommons.org/licenses/by/4.0/
title Potential of Forest Parameter Estimation Using Metrics from Photon Counting LiDAR Data in Howland Research Forest
spellingShingle Potential of Forest Parameter Estimation Using Metrics from Photon Counting LiDAR Data in Howland Research Forest
Bowei Chen
Peter North
Jacqueline Rosette
Juan Suarez-Minguez
Iain Bye
title_short Potential of Forest Parameter Estimation Using Metrics from Photon Counting LiDAR Data in Howland Research Forest
title_full Potential of Forest Parameter Estimation Using Metrics from Photon Counting LiDAR Data in Howland Research Forest
title_fullStr Potential of Forest Parameter Estimation Using Metrics from Photon Counting LiDAR Data in Howland Research Forest
title_full_unstemmed Potential of Forest Parameter Estimation Using Metrics from Photon Counting LiDAR Data in Howland Research Forest
title_sort Potential of Forest Parameter Estimation Using Metrics from Photon Counting LiDAR Data in Howland Research Forest
author_id_str_mv 16a82de88f74a3fc151c4063f002fdd2
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author_id_fullname_str_mv 16a82de88f74a3fc151c4063f002fdd2_***_Bowei Chen
fc45a0cb36c24d6cf35313a8c808652f_***_Peter North
0307f116e8f87a83cf4080c493fb7590_***_Jacqueline Rosette
ad4952e433136ef38946f3c4bcfc5ff0_***_Juan Suarez-Minguez
86392cce1e20157c99cef2546409c208_***_Iain Bye
author Bowei Chen
Peter North
Jacqueline Rosette
Juan Suarez-Minguez
Iain Bye
author2 Bowei Chen
Yong Pang
Zengyuan Li
Peter North
Jacqueline Rosette
Guoqing Sun
Juan Suarez-Minguez
Iain Bye
Hao Lu
format Journal article
container_title Remote Sensing
container_volume 11
container_issue 7
container_start_page 856
publishDate 2019
institution Swansea University
issn 2072-4292
doi_str_mv 10.3390/rs11070856
publisher MDPI AG
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
document_store_str 1
active_str 0
published_date 2019-04-09T04:01:21Z
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