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Modelling hyperspectral- and thermal-based plant traits for the early detection of Phytophthora-induced symptoms in oak decline

Alberto Hornero, P.J. Zarco-Tejada, J.L. Quero, Peter North Orcid Logo, F.J. Ruiz-Gómez, R. Sánchez-Cuesta, Rocio Hernandez-Clemente

Remote Sensing of Environment, Volume: 263, Start page: 112570

Swansea University Authors: Alberto Hornero, Peter North Orcid Logo, Rocio Hernandez-Clemente

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DOI (Published version): 10.1016/j.rse.2021.112570

Published in: Remote Sensing of Environment
ISSN: 0034-4257
Published: Elsevier BV 2021
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URI: https://cronfa.swan.ac.uk/Record/cronfa57483
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first_indexed 2021-07-30T10:27:33Z
last_indexed 2021-12-02T04:14:37Z
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spelling 2021-12-01T11:51:18.0578885 v2 57483 2021-07-30 Modelling hyperspectral- and thermal-based plant traits for the early detection of Phytophthora-induced symptoms in oak decline 3140d9cb2dde2c093d42d5bf3b85d05e Alberto Hornero Alberto Hornero true false fc45a0cb36c24d6cf35313a8c808652f 0000-0001-9933-6935 Peter North Peter North true false 0b007e63ef097cd47d6bc60b58379103 Rocio Hernandez-Clemente Rocio Hernandez-Clemente true false 2021-07-30 FGSEN Journal Article Remote Sensing of Environment 263 112570 Elsevier BV 0034-4257 High-resolution imagery; Radiative transfer modelling; Forest dieback; Disease monitoring 15 9 2021 2021-09-15 10.1016/j.rse.2021.112570 COLLEGE NANME Science and Engineering - Faculty COLLEGE CODE FGSEN Swansea University Not Required 2021-12-01T11:51:18.0578885 2021-07-30T11:18:50.5836858 Faculty of Science and Engineering School of Biosciences, Geography and Physics - Geography Alberto Hornero 1 P.J. Zarco-Tejada 2 J.L. Quero 3 Peter North 0000-0001-9933-6935 4 F.J. Ruiz-Gómez 5 R. Sánchez-Cuesta 6 Rocio Hernandez-Clemente 7 57483__20700__8718bed5496d49f38733edac28b07e81.pdf 57483.oak_decline_Phytophthora_aam.pdf 2021-08-25T15:30:42.0831820 Output 4143352 application/pdf Accepted Manuscript true 2022-06-25T00:00:00.0000000 true eng
title Modelling hyperspectral- and thermal-based plant traits for the early detection of Phytophthora-induced symptoms in oak decline
spellingShingle Modelling hyperspectral- and thermal-based plant traits for the early detection of Phytophthora-induced symptoms in oak decline
Alberto Hornero
Peter North
Rocio Hernandez-Clemente
title_short Modelling hyperspectral- and thermal-based plant traits for the early detection of Phytophthora-induced symptoms in oak decline
title_full Modelling hyperspectral- and thermal-based plant traits for the early detection of Phytophthora-induced symptoms in oak decline
title_fullStr Modelling hyperspectral- and thermal-based plant traits for the early detection of Phytophthora-induced symptoms in oak decline
title_full_unstemmed Modelling hyperspectral- and thermal-based plant traits for the early detection of Phytophthora-induced symptoms in oak decline
title_sort Modelling hyperspectral- and thermal-based plant traits for the early detection of Phytophthora-induced symptoms in oak decline
author_id_str_mv 3140d9cb2dde2c093d42d5bf3b85d05e
fc45a0cb36c24d6cf35313a8c808652f
0b007e63ef097cd47d6bc60b58379103
author_id_fullname_str_mv 3140d9cb2dde2c093d42d5bf3b85d05e_***_Alberto Hornero
fc45a0cb36c24d6cf35313a8c808652f_***_Peter North
0b007e63ef097cd47d6bc60b58379103_***_Rocio Hernandez-Clemente
author Alberto Hornero
Peter North
Rocio Hernandez-Clemente
author2 Alberto Hornero
P.J. Zarco-Tejada
J.L. Quero
Peter North
F.J. Ruiz-Gómez
R. Sánchez-Cuesta
Rocio Hernandez-Clemente
format Journal article
container_title Remote Sensing of Environment
container_volume 263
container_start_page 112570
publishDate 2021
institution Swansea University
issn 0034-4257
doi_str_mv 10.1016/j.rse.2021.112570
publisher Elsevier BV
college_str Faculty of Science and Engineering
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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 2021-09-15T04:13:15Z
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score 11.036706

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