EcoIS: An image serialization library for plot-based plant flowering phenology
Image series are increasingly being used to output ecological indicators because they provide the ability to reanalyze data that has already been collected and they improve temporal as well as spatial resolution. We address both the increased utilization and the need to diversify the way they are pr...
Published in: | Ecological Informatics |
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Format: | Article in Journal/Newspaper |
Language: | English |
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2013
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Online Access: | https://pure.itu.dk/portal/en/publications/ecois-an-image-serialization-library-for-plotbased-plant-flowering-phenology(c2f8832f-a91d-4d87-aa50-9d6703c51a27).html https://doi.org/10.1016/j.ecoinf.2013.09.006 https://pure.itu.dk/ws/files/55304695/EcoIS.pdf http://www.sciencedirect.com/science/article/pii/S1574954113000940 |
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ftitucopenhagenp:oai:pure.atira.dk:publications/c2f8832f-a91d-4d87-aa50-9d6703c51a27 2023-05-15T14:59:18+02:00 EcoIS: An image serialization library for plot-based plant flowering phenology Granados, Joel A. Bonnet, Philippe Hansen, Lars Hostrup Schmidt, Niels Martin 2013 application/pdf https://pure.itu.dk/portal/en/publications/ecois-an-image-serialization-library-for-plotbased-plant-flowering-phenology(c2f8832f-a91d-4d87-aa50-9d6703c51a27).html https://doi.org/10.1016/j.ecoinf.2013.09.006 https://pure.itu.dk/ws/files/55304695/EcoIS.pdf http://www.sciencedirect.com/science/article/pii/S1574954113000940 eng eng info:eu-repo/semantics/openAccess Granados , J A , Bonnet , P , Hansen , L H & Schmidt , N M 2013 , ' EcoIS: An image serialization library for plot-based plant flowering phenology ' , Ecological Informatics , vol. 18 , pp. 194-202 . https://doi.org/10.1016/j.ecoinf.2013.09.006 , https://doi.org/10.1016/j.ecoinf.2013.09.006 Arctic Computer vision Ecological monitoring Image series Phenology Photo-plot methods VIP software webcam field methods article 2013 ftitucopenhagenp https://doi.org/10.1016/j.ecoinf.2013.09.006 2022-08-14T07:34:20Z Image series are increasingly being used to output ecological indicators because they provide the ability to reanalyze data that has already been collected and they improve temporal as well as spatial resolution. We address both the increased utilization and the need to diversify the way they are produced by introducing an open source Python (www.python.org) library called EcoIS that creates image series from unaligned pictures of specially equipped plots. We use EcoIS to sample flowering phenology plots in a high arctic environment and create image series that later generate phenophase counts and automatically estimate phenological dates of interest. Our results exhibit one day difference between EcoIS estimations of local indicators and the ones calculated with the established field-based process. We show that EcoIS' error is similar to the one of image series generated with fixed camera setups. We see that EcoIS processes an image in 3.8 s and show how it is equipped to handle data intensive scenarios. We additionally identify in-camera automatic image formatting and image acquiring oversight as contributing factors for increasing the overall error. Our main conclusion is that EcoIS creates usable image series that maintain the spatiotemporal qualities of the original images and can successfully be utilized to generate ecological indicators. EcoIS is relevant as a replacement for traditional image series infrastructure where the cost of deploying EcoIS is smaller or less intrusive to the ecosystem. Article in Journal/Newspaper Arctic Research database - IT-University of Copenhagen Arctic Ecological Informatics 18 194 202 |
institution |
Open Polar |
collection |
Research database - IT-University of Copenhagen |
op_collection_id |
ftitucopenhagenp |
language |
English |
topic |
Arctic Computer vision Ecological monitoring Image series Phenology Photo-plot methods VIP software webcam field methods |
spellingShingle |
Arctic Computer vision Ecological monitoring Image series Phenology Photo-plot methods VIP software webcam field methods Granados, Joel A. Bonnet, Philippe Hansen, Lars Hostrup Schmidt, Niels Martin EcoIS: An image serialization library for plot-based plant flowering phenology |
topic_facet |
Arctic Computer vision Ecological monitoring Image series Phenology Photo-plot methods VIP software webcam field methods |
description |
Image series are increasingly being used to output ecological indicators because they provide the ability to reanalyze data that has already been collected and they improve temporal as well as spatial resolution. We address both the increased utilization and the need to diversify the way they are produced by introducing an open source Python (www.python.org) library called EcoIS that creates image series from unaligned pictures of specially equipped plots. We use EcoIS to sample flowering phenology plots in a high arctic environment and create image series that later generate phenophase counts and automatically estimate phenological dates of interest. Our results exhibit one day difference between EcoIS estimations of local indicators and the ones calculated with the established field-based process. We show that EcoIS' error is similar to the one of image series generated with fixed camera setups. We see that EcoIS processes an image in 3.8 s and show how it is equipped to handle data intensive scenarios. We additionally identify in-camera automatic image formatting and image acquiring oversight as contributing factors for increasing the overall error. Our main conclusion is that EcoIS creates usable image series that maintain the spatiotemporal qualities of the original images and can successfully be utilized to generate ecological indicators. EcoIS is relevant as a replacement for traditional image series infrastructure where the cost of deploying EcoIS is smaller or less intrusive to the ecosystem. |
format |
Article in Journal/Newspaper |
author |
Granados, Joel A. Bonnet, Philippe Hansen, Lars Hostrup Schmidt, Niels Martin |
author_facet |
Granados, Joel A. Bonnet, Philippe Hansen, Lars Hostrup Schmidt, Niels Martin |
author_sort |
Granados, Joel A. |
title |
EcoIS: An image serialization library for plot-based plant flowering phenology |
title_short |
EcoIS: An image serialization library for plot-based plant flowering phenology |
title_full |
EcoIS: An image serialization library for plot-based plant flowering phenology |
title_fullStr |
EcoIS: An image serialization library for plot-based plant flowering phenology |
title_full_unstemmed |
EcoIS: An image serialization library for plot-based plant flowering phenology |
title_sort |
ecois: an image serialization library for plot-based plant flowering phenology |
publishDate |
2013 |
url |
https://pure.itu.dk/portal/en/publications/ecois-an-image-serialization-library-for-plotbased-plant-flowering-phenology(c2f8832f-a91d-4d87-aa50-9d6703c51a27).html https://doi.org/10.1016/j.ecoinf.2013.09.006 https://pure.itu.dk/ws/files/55304695/EcoIS.pdf http://www.sciencedirect.com/science/article/pii/S1574954113000940 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
Granados , J A , Bonnet , P , Hansen , L H & Schmidt , N M 2013 , ' EcoIS: An image serialization library for plot-based plant flowering phenology ' , Ecological Informatics , vol. 18 , pp. 194-202 . https://doi.org/10.1016/j.ecoinf.2013.09.006 , https://doi.org/10.1016/j.ecoinf.2013.09.006 |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.1016/j.ecoinf.2013.09.006 |
container_title |
Ecological Informatics |
container_volume |
18 |
container_start_page |
194 |
op_container_end_page |
202 |
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1766331410060148736 |