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Deriving Predictive Relationships of Carotenoid Content at the Canopy Level in a Conifer Forest Using Hyperspectral Imagery and Model Simulation

Rocio Hernandez-Clemente, Rafael Maria Navarro-Cerrillo, Pablo J. Zarco-Tejada

IEEE Transactions on Geoscience and Remote Sensing, Volume: 52, Issue: 8, Pages: 5206 - 5217

Swansea University Author: Rocio Hernandez-Clemente

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DOI (Published version): 10.1109/TGRS.2013.2287304

Published in: IEEE Transactions on Geoscience and Remote Sensing
ISSN: 0196-2892 1558-0644
Published: 2014
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URI: https://cronfa.swan.ac.uk/Record/cronfa32947
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first_indexed 2017-04-05T19:00:44Z
last_indexed 2018-02-09T05:21:25Z
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spelling 2017-07-17T16:46:53.2499039 v2 32947 2017-04-05 Deriving Predictive Relationships of Carotenoid Content at the Canopy Level in a Conifer Forest Using Hyperspectral Imagery and Model Simulation 0b007e63ef097cd47d6bc60b58379103 Rocio Hernandez-Clemente Rocio Hernandez-Clemente true false 2017-04-05 FGSEN Journal Article IEEE Transactions on Geoscience and Remote Sensing 52 8 5206 5217 0196-2892 1558-0644 9 1 2014 2014-01-09 10.1109/TGRS.2013.2287304 COLLEGE NANME Science and Engineering - Faculty COLLEGE CODE FGSEN Swansea University 2017-07-17T16:46:53.2499039 2017-04-05T13:39:38.3463685 Faculty of Science and Engineering School of Biosciences, Geography and Physics - Geography Rocio Hernandez-Clemente 1 Rafael Maria Navarro-Cerrillo 2 Pablo J. Zarco-Tejada 3
title Deriving Predictive Relationships of Carotenoid Content at the Canopy Level in a Conifer Forest Using Hyperspectral Imagery and Model Simulation
spellingShingle Deriving Predictive Relationships of Carotenoid Content at the Canopy Level in a Conifer Forest Using Hyperspectral Imagery and Model Simulation
Rocio Hernandez-Clemente
title_short Deriving Predictive Relationships of Carotenoid Content at the Canopy Level in a Conifer Forest Using Hyperspectral Imagery and Model Simulation
title_full Deriving Predictive Relationships of Carotenoid Content at the Canopy Level in a Conifer Forest Using Hyperspectral Imagery and Model Simulation
title_fullStr Deriving Predictive Relationships of Carotenoid Content at the Canopy Level in a Conifer Forest Using Hyperspectral Imagery and Model Simulation
title_full_unstemmed Deriving Predictive Relationships of Carotenoid Content at the Canopy Level in a Conifer Forest Using Hyperspectral Imagery and Model Simulation
title_sort Deriving Predictive Relationships of Carotenoid Content at the Canopy Level in a Conifer Forest Using Hyperspectral Imagery and Model Simulation
author_id_str_mv 0b007e63ef097cd47d6bc60b58379103
author_id_fullname_str_mv 0b007e63ef097cd47d6bc60b58379103_***_Rocio Hernandez-Clemente
author Rocio Hernandez-Clemente
author2 Rocio Hernandez-Clemente
Rafael Maria Navarro-Cerrillo
Pablo J. Zarco-Tejada
format Journal article
container_title IEEE Transactions on Geoscience and Remote Sensing
container_volume 52
container_issue 8
container_start_page 5206
publishDate 2014
institution Swansea University
issn 0196-2892
1558-0644
doi_str_mv 10.1109/TGRS.2013.2287304
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 0
active_str 0
published_date 2014-01-09T03:40:32Z
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score 11.037603

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