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Understanding the temporal dimension of the red-edge spectral region for forest decline detection using high-resolution hyperspectral and Sentinel-2a imagery

P.J. Zarco-Tejada, A Hornero, P.S.A.. Beck, Rocio Hernandez-Clemente

ISPRS Journal of Photogrammetry and Remote Sensing, Volume: 137, Pages: 134 - 148

Swansea University Author: Rocio Hernandez-Clemente

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Published in: ISPRS Journal of Photogrammetry and Remote Sensing
ISSN: 0924-2716
Published: 2018
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URI: https://cronfa.swan.ac.uk/Record/cronfa38835
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first_indexed 2018-02-21T19:57:51Z
last_indexed 2020-07-13T18:58:07Z
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spelling 2020-07-13T15:47:21.8400813 v2 38835 2018-02-21 Understanding the temporal dimension of the red-edge spectral region for forest decline detection using high-resolution hyperspectral and Sentinel-2a imagery 0b007e63ef097cd47d6bc60b58379103 Rocio Hernandez-Clemente Rocio Hernandez-Clemente true false 2018-02-21 FGSEN Journal Article ISPRS Journal of Photogrammetry and Remote Sensing 137 134 148 0924-2716 Hyperspectral; Red edge; Forest decline; Chlorophyll; Sentinel-2a; Radiative transfer 31 3 2018 2018-03-31 10.1016/j.isprsjprs.2018.01.017 COLLEGE NANME Science and Engineering - Faculty COLLEGE CODE FGSEN Swansea University 2020-07-13T15:47:21.8400813 2018-02-21T15:55:37.9043415 Faculty of Science and Engineering School of Biosciences, Geography and Physics - Geography P.J. Zarco-Tejada 1 A Hornero 2 P.S.A.. Beck 3 Rocio Hernandez-Clemente 4 0038835-21022018160103.pdf 38835.pdf 2018-02-21T16:01:03.5170000 Output 4924676 application/pdf Version of Record true 2018-02-21T00:00:00.0000000 Released under the terms of a Creative Commons Attribution 4.0 International license (CC-BY). true eng
title Understanding the temporal dimension of the red-edge spectral region for forest decline detection using high-resolution hyperspectral and Sentinel-2a imagery
spellingShingle Understanding the temporal dimension of the red-edge spectral region for forest decline detection using high-resolution hyperspectral and Sentinel-2a imagery
Rocio Hernandez-Clemente
title_short Understanding the temporal dimension of the red-edge spectral region for forest decline detection using high-resolution hyperspectral and Sentinel-2a imagery
title_full Understanding the temporal dimension of the red-edge spectral region for forest decline detection using high-resolution hyperspectral and Sentinel-2a imagery
title_fullStr Understanding the temporal dimension of the red-edge spectral region for forest decline detection using high-resolution hyperspectral and Sentinel-2a imagery
title_full_unstemmed Understanding the temporal dimension of the red-edge spectral region for forest decline detection using high-resolution hyperspectral and Sentinel-2a imagery
title_sort Understanding the temporal dimension of the red-edge spectral region for forest decline detection using high-resolution hyperspectral and Sentinel-2a imagery
author_id_str_mv 0b007e63ef097cd47d6bc60b58379103
author_id_fullname_str_mv 0b007e63ef097cd47d6bc60b58379103_***_Rocio Hernandez-Clemente
author Rocio Hernandez-Clemente
author2 P.J. Zarco-Tejada
A Hornero
P.S.A.. Beck
Rocio Hernandez-Clemente
format Journal article
container_title ISPRS Journal of Photogrammetry and Remote Sensing
container_volume 137
container_start_page 134
publishDate 2018
institution Swansea University
issn 0924-2716
doi_str_mv 10.1016/j.isprsjprs.2018.01.017
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
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published_date 2018-03-31T03:49:14Z
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