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Early Diagnosis of Vegetation Health From High-Resolution Hyperspectral and Thermal Imagery: Lessons Learned From Empirical Relationships and Radiative Transfer Modelling

R. Hernández-Clemente, A. Hornero, M. Mottus, J. Penuelas, V. González-Dugo, J. C. Jiménez, L. Suárez, L. Alonso, P. J. Zarco-Tejada, Rocio Hernandez-Clemente

Current Forestry Reports, Volume: 5, Issue: 3, Pages: 169 - 183

Swansea University Author: Rocio Hernandez-Clemente

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DOI (Published version): 10.1007/s40725-019-00096-1

Published in: Current Forestry Reports
ISSN: 2198-6436
Published: 2019
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URI: https://cronfa.swan.ac.uk/Record/cronfa51656
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first_indexed 2019-09-03T14:52:11Z
last_indexed 2019-09-18T20:15:54Z
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spelling 2019-09-18T17:04:18.9099956 v2 51656 2019-09-03 Early Diagnosis of Vegetation Health From High-Resolution Hyperspectral and Thermal Imagery: Lessons Learned From Empirical Relationships and Radiative Transfer Modelling 0b007e63ef097cd47d6bc60b58379103 Rocio Hernandez-Clemente Rocio Hernandez-Clemente true false 2019-09-03 FGSEN Journal Article Current Forestry Reports 5 3 169 183 2198-6436 31 12 2019 2019-12-31 10.1007/s40725-019-00096-1 COLLEGE NANME Science and Engineering - Faculty COLLEGE CODE FGSEN Swansea University 2019-09-18T17:04:18.9099956 2019-09-03T13:42:19.3950482 Faculty of Science and Engineering School of Biosciences, Geography and Physics - Geography R. Hernández-Clemente 1 A. Hornero 2 M. Mottus 3 J. Penuelas 4 V. González-Dugo 5 J. C. Jiménez 6 L. Suárez 7 L. Alonso 8 P. J. Zarco-Tejada 9 Rocio Hernandez-Clemente 10 0051656-03092019134329.pdf Hernández-Clemente2019_Article_EarlyDiagnosisOfVegetationHeal.pdf 2019-09-03T13:43:29.2730000 Output 4860903 application/pdf Version of Record true 2019-09-03T00:00:00.0000000 Distributed under the terms of a Creative Commons Attribution (CC-BY-4.0) true eng
title Early Diagnosis of Vegetation Health From High-Resolution Hyperspectral and Thermal Imagery: Lessons Learned From Empirical Relationships and Radiative Transfer Modelling
spellingShingle Early Diagnosis of Vegetation Health From High-Resolution Hyperspectral and Thermal Imagery: Lessons Learned From Empirical Relationships and Radiative Transfer Modelling
Rocio Hernandez-Clemente
title_short Early Diagnosis of Vegetation Health From High-Resolution Hyperspectral and Thermal Imagery: Lessons Learned From Empirical Relationships and Radiative Transfer Modelling
title_full Early Diagnosis of Vegetation Health From High-Resolution Hyperspectral and Thermal Imagery: Lessons Learned From Empirical Relationships and Radiative Transfer Modelling
title_fullStr Early Diagnosis of Vegetation Health From High-Resolution Hyperspectral and Thermal Imagery: Lessons Learned From Empirical Relationships and Radiative Transfer Modelling
title_full_unstemmed Early Diagnosis of Vegetation Health From High-Resolution Hyperspectral and Thermal Imagery: Lessons Learned From Empirical Relationships and Radiative Transfer Modelling
title_sort Early Diagnosis of Vegetation Health From High-Resolution Hyperspectral and Thermal Imagery: Lessons Learned From Empirical Relationships and Radiative Transfer Modelling
author_id_str_mv 0b007e63ef097cd47d6bc60b58379103
author_id_fullname_str_mv 0b007e63ef097cd47d6bc60b58379103_***_Rocio Hernandez-Clemente
author Rocio Hernandez-Clemente
author2 R. Hernández-Clemente
A. Hornero
M. Mottus
J. Penuelas
V. González-Dugo
J. C. Jiménez
L. Suárez
L. Alonso
P. J. Zarco-Tejada
Rocio Hernandez-Clemente
format Journal article
container_title Current Forestry Reports
container_volume 5
container_issue 3
container_start_page 169
publishDate 2019
institution Swansea University
issn 2198-6436
doi_str_mv 10.1007/s40725-019-00096-1
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 2019-12-31T04:03:38Z
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score 11.036706

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