Camera derived vegetation greenness index as proxy for gross primary production in a low Arctic wetland area
The Arctic is experiencing disproportionate warming relative to the global average, and the Arctic ecosystems are as a result undergoing considerable changes. Continued monitoring of ecosystem productivity and phenology across temporal and spatial scales is a central part of assessing the magnitude...
Published in: | ISPRS Journal of Photogrammetry and Remote Sensing |
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2013
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Online Access: | https://curis.ku.dk/portal/da/publications/camera-derived-vegetation-greenness-index-as-proxy-for-gross-primary-production-in-a-low-arctic-wetland-area(e6a7d2d6-1310-44f1-921b-5763fa10440a).html https://doi.org/10.1016/j.isprsjprs.2013.09.006 |
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ftcopenhagenunip:oai:pure.atira.dk:publications/e6a7d2d6-1310-44f1-921b-5763fa10440a 2024-04-14T08:05:14+00:00 Camera derived vegetation greenness index as proxy for gross primary production in a low Arctic wetland area Westergaard-Nielsen, Andreas Lund, Magnus Hansen, Birger Ulf Tamstorf, Mikkel Peter 2013 https://curis.ku.dk/portal/da/publications/camera-derived-vegetation-greenness-index-as-proxy-for-gross-primary-production-in-a-low-arctic-wetland-area(e6a7d2d6-1310-44f1-921b-5763fa10440a).html https://doi.org/10.1016/j.isprsjprs.2013.09.006 eng eng info:eu-repo/semantics/closedAccess Westergaard-Nielsen , A , Lund , M , Hansen , B U & Tamstorf , M P 2013 , ' Camera derived vegetation greenness index as proxy for gross primary production in a low Arctic wetland area ' , I S P R S Journal of Photogrammetry and Remote Sensing , vol. 86 , pp. 89-99 . https://doi.org/10.1016/j.isprsjprs.2013.09.006 Low Arctic Digital camera Vegetation index Carbon Eddy covariance Gross primary production article 2013 ftcopenhagenunip https://doi.org/10.1016/j.isprsjprs.2013.09.006 2024-03-21T17:28:08Z The Arctic is experiencing disproportionate warming relative to the global average, and the Arctic ecosystems are as a result undergoing considerable changes. Continued monitoring of ecosystem productivity and phenology across temporal and spatial scales is a central part of assessing the magnitude of these changes. This study investigates the ability to use automatic digital camera images (DCIs) as proxy data for gross primary production (GPP) in a complex low Arctic wetland site. Vegetation greenness computed from DCIs was found to correlate significantly (R-2 = 0.62, p <0.001) with a normalized difference vegetation index (NDVI) product derived from the WorldView-2 satellite. An object-based classification based on a bi-temporal image composite was used to classify the study area into heath, copse, fen, and bedrock. Temporal evolution of vegetation greenness was evaluated and modeled with double sigmoid functions for each plant community. GPP at light saturation modeled from eddy covariance (EC) flux measurements were found to correlate significantly with vegetation greenness for all plant communities in the studied year (i.e., 2010), and the highest correlation was found between modeled fen greenness and GPP (R-2 = 0.85, p <0.001). Finally, greenness computed within modeled EC footprints were used to evaluate the influence of individual plant communities on the flux measurements. The study concludes that digital cameras may be used as a cost-effective proxy for potential GPP in remote Arctic regions. (C) 2013 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS) Published by Elsevier B.V. All rights reserved. Article in Journal/Newspaper Arctic Arctic University of Copenhagen: Research Arctic ISPRS Journal of Photogrammetry and Remote Sensing 86 89 99 |
institution |
Open Polar |
collection |
University of Copenhagen: Research |
op_collection_id |
ftcopenhagenunip |
language |
English |
topic |
Low Arctic Digital camera Vegetation index Carbon Eddy covariance Gross primary production |
spellingShingle |
Low Arctic Digital camera Vegetation index Carbon Eddy covariance Gross primary production Westergaard-Nielsen, Andreas Lund, Magnus Hansen, Birger Ulf Tamstorf, Mikkel Peter Camera derived vegetation greenness index as proxy for gross primary production in a low Arctic wetland area |
topic_facet |
Low Arctic Digital camera Vegetation index Carbon Eddy covariance Gross primary production |
description |
The Arctic is experiencing disproportionate warming relative to the global average, and the Arctic ecosystems are as a result undergoing considerable changes. Continued monitoring of ecosystem productivity and phenology across temporal and spatial scales is a central part of assessing the magnitude of these changes. This study investigates the ability to use automatic digital camera images (DCIs) as proxy data for gross primary production (GPP) in a complex low Arctic wetland site. Vegetation greenness computed from DCIs was found to correlate significantly (R-2 = 0.62, p <0.001) with a normalized difference vegetation index (NDVI) product derived from the WorldView-2 satellite. An object-based classification based on a bi-temporal image composite was used to classify the study area into heath, copse, fen, and bedrock. Temporal evolution of vegetation greenness was evaluated and modeled with double sigmoid functions for each plant community. GPP at light saturation modeled from eddy covariance (EC) flux measurements were found to correlate significantly with vegetation greenness for all plant communities in the studied year (i.e., 2010), and the highest correlation was found between modeled fen greenness and GPP (R-2 = 0.85, p <0.001). Finally, greenness computed within modeled EC footprints were used to evaluate the influence of individual plant communities on the flux measurements. The study concludes that digital cameras may be used as a cost-effective proxy for potential GPP in remote Arctic regions. (C) 2013 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS) Published by Elsevier B.V. All rights reserved. |
format |
Article in Journal/Newspaper |
author |
Westergaard-Nielsen, Andreas Lund, Magnus Hansen, Birger Ulf Tamstorf, Mikkel Peter |
author_facet |
Westergaard-Nielsen, Andreas Lund, Magnus Hansen, Birger Ulf Tamstorf, Mikkel Peter |
author_sort |
Westergaard-Nielsen, Andreas |
title |
Camera derived vegetation greenness index as proxy for gross primary production in a low Arctic wetland area |
title_short |
Camera derived vegetation greenness index as proxy for gross primary production in a low Arctic wetland area |
title_full |
Camera derived vegetation greenness index as proxy for gross primary production in a low Arctic wetland area |
title_fullStr |
Camera derived vegetation greenness index as proxy for gross primary production in a low Arctic wetland area |
title_full_unstemmed |
Camera derived vegetation greenness index as proxy for gross primary production in a low Arctic wetland area |
title_sort |
camera derived vegetation greenness index as proxy for gross primary production in a low arctic wetland area |
publishDate |
2013 |
url |
https://curis.ku.dk/portal/da/publications/camera-derived-vegetation-greenness-index-as-proxy-for-gross-primary-production-in-a-low-arctic-wetland-area(e6a7d2d6-1310-44f1-921b-5763fa10440a).html https://doi.org/10.1016/j.isprsjprs.2013.09.006 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Arctic |
genre_facet |
Arctic Arctic |
op_source |
Westergaard-Nielsen , A , Lund , M , Hansen , B U & Tamstorf , M P 2013 , ' Camera derived vegetation greenness index as proxy for gross primary production in a low Arctic wetland area ' , I S P R S Journal of Photogrammetry and Remote Sensing , vol. 86 , pp. 89-99 . https://doi.org/10.1016/j.isprsjprs.2013.09.006 |
op_rights |
info:eu-repo/semantics/closedAccess |
op_doi |
https://doi.org/10.1016/j.isprsjprs.2013.09.006 |
container_title |
ISPRS Journal of Photogrammetry and Remote Sensing |
container_volume |
86 |
container_start_page |
89 |
op_container_end_page |
99 |
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1796302040200118272 |