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Decadal trends in photosynthetic capacity and leaf area index inferred from satellite remote sensing for global vegetation types

Paul Alton

Agricultural and Forest Meteorology, Volume: 250-251, Pages: 361 - 375

Swansea University Author: Paul Alton

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DOI (Published version): 10.1016/j.agrformet.2017.11.020

Published in: Agricultural and Forest Meteorology
ISSN: 0168-1923
Published: Elsevier BV 2018
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URI: https://cronfa.swan.ac.uk/Record/cronfa38311
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first_indexed 2018-01-25T20:02:22Z
last_indexed 2020-12-17T03:58:04Z
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spelling 2020-12-16T14:18:45.0252429 v2 38311 2018-01-25 Decadal trends in photosynthetic capacity and leaf area index inferred from satellite remote sensing for global vegetation types 0628c0f305576249f866b2ff542dd076 Paul Alton Paul Alton true false 2018-01-25 SGE Journal Article Agricultural and Forest Meteorology 250-251 361 375 Elsevier BV 0168-1923 Carbon cycle; Land-surface modelling; Photosynthetic capacity; Leaf area index; Moderate Resolution Imaging Spectroradiometer (MODIS); Remote-sensing; MEdium Resolution Imaging Spectrometer (MERIS) 15 3 2018 2018-03-15 10.1016/j.agrformet.2017.11.020 COLLEGE NANME Geography COLLEGE CODE SGE Swansea University 2020-12-16T14:18:45.0252429 2018-01-25T15:35:09.1628921 Faculty of Science and Engineering School of Biosciences, Geography and Physics - Geography Paul Alton 1 0038311-13032018090603.pdf 38311.pdf 2018-03-13T09:06:03.9070000 Output 539674 application/pdf Accepted Manuscript true 2019-01-25T00:00:00.0000000 ©2018 All rights reserved. Released under the terms of a Creative Commons Attribution Non-Commercial No Derivatives License (CC-BY-NC-ND). true eng
title Decadal trends in photosynthetic capacity and leaf area index inferred from satellite remote sensing for global vegetation types
spellingShingle Decadal trends in photosynthetic capacity and leaf area index inferred from satellite remote sensing for global vegetation types
Paul Alton
title_short Decadal trends in photosynthetic capacity and leaf area index inferred from satellite remote sensing for global vegetation types
title_full Decadal trends in photosynthetic capacity and leaf area index inferred from satellite remote sensing for global vegetation types
title_fullStr Decadal trends in photosynthetic capacity and leaf area index inferred from satellite remote sensing for global vegetation types
title_full_unstemmed Decadal trends in photosynthetic capacity and leaf area index inferred from satellite remote sensing for global vegetation types
title_sort Decadal trends in photosynthetic capacity and leaf area index inferred from satellite remote sensing for global vegetation types
author_id_str_mv 0628c0f305576249f866b2ff542dd076
author_id_fullname_str_mv 0628c0f305576249f866b2ff542dd076_***_Paul Alton
author Paul Alton
author2 Paul Alton
format Journal article
container_title Agricultural and Forest Meteorology
container_volume 250-251
container_start_page 361
publishDate 2018
institution Swansea University
issn 0168-1923
doi_str_mv 10.1016/j.agrformet.2017.11.020
publisher Elsevier BV
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 2018-03-15T03:48:27Z
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score 11.016235

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