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New tools for old problems — comparing drone- and field-based assessments of a problematic plant species

Plant species that negatively affect their environment by encroachment require constant management and monitoring through field surveys. Drones have been suggested to support field surveyors allowing more accurate mapping with just-in-time aerial imagery. Furthermore, object-based image analysis too...

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Autores principales: Oldeland, Jens, Revermann, Rasmus, Luther-Mosebach, Jona, Buttschardt, Tillmann, Lehmann, Jan R. K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7838141/
https://www.ncbi.nlm.nih.gov/pubmed/33501565
http://dx.doi.org/10.1007/s10661-021-08852-2
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author Oldeland, Jens
Revermann, Rasmus
Luther-Mosebach, Jona
Buttschardt, Tillmann
Lehmann, Jan R. K.
author_facet Oldeland, Jens
Revermann, Rasmus
Luther-Mosebach, Jona
Buttschardt, Tillmann
Lehmann, Jan R. K.
author_sort Oldeland, Jens
collection PubMed
description Plant species that negatively affect their environment by encroachment require constant management and monitoring through field surveys. Drones have been suggested to support field surveyors allowing more accurate mapping with just-in-time aerial imagery. Furthermore, object-based image analysis tools could increase the accuracy of species maps. However, only few studies compare species distribution maps resulting from traditional field surveys and object-based image analysis using drone imagery. We acquired drone imagery for a saltmarsh area (18 ha) on the Hallig Nordstrandischmoor (Germany) with patches of Elymus athericus, a tall grass which encroaches higher parts of saltmarshes. A field survey was conducted afterwards using the drone orthoimagery as a baseline. We used object-based image analysis (OBIA) to segment CIR imagery into polygons which were classified into eight land cover classes. Finally, we compared polygons of the field-based and OBIA-based maps visually and for location, area, and overlap before and after post-processing. OBIA-based classification yielded good results (kappa = 0.937) and agreed in general with the field-based maps (field = 6.29 ha, drone = 6.22 ha with E. athericus dominance). Post-processing revealed 0.31 ha of misclassified polygons, which were often related to water runnels or shadows, leaving 5.91 ha of E. athericus cover. Overlap of both polygon maps was only 70% resulting from many small patches identified where E. athericus was absent. In sum, drones can greatly support field surveys in monitoring of plant species by allowing for accurate species maps and just-in-time captured very-high-resolution imagery.
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spelling pubmed-78381412021-02-01 New tools for old problems — comparing drone- and field-based assessments of a problematic plant species Oldeland, Jens Revermann, Rasmus Luther-Mosebach, Jona Buttschardt, Tillmann Lehmann, Jan R. K. Environ Monit Assess Article Plant species that negatively affect their environment by encroachment require constant management and monitoring through field surveys. Drones have been suggested to support field surveyors allowing more accurate mapping with just-in-time aerial imagery. Furthermore, object-based image analysis tools could increase the accuracy of species maps. However, only few studies compare species distribution maps resulting from traditional field surveys and object-based image analysis using drone imagery. We acquired drone imagery for a saltmarsh area (18 ha) on the Hallig Nordstrandischmoor (Germany) with patches of Elymus athericus, a tall grass which encroaches higher parts of saltmarshes. A field survey was conducted afterwards using the drone orthoimagery as a baseline. We used object-based image analysis (OBIA) to segment CIR imagery into polygons which were classified into eight land cover classes. Finally, we compared polygons of the field-based and OBIA-based maps visually and for location, area, and overlap before and after post-processing. OBIA-based classification yielded good results (kappa = 0.937) and agreed in general with the field-based maps (field = 6.29 ha, drone = 6.22 ha with E. athericus dominance). Post-processing revealed 0.31 ha of misclassified polygons, which were often related to water runnels or shadows, leaving 5.91 ha of E. athericus cover. Overlap of both polygon maps was only 70% resulting from many small patches identified where E. athericus was absent. In sum, drones can greatly support field surveys in monitoring of plant species by allowing for accurate species maps and just-in-time captured very-high-resolution imagery. Springer International Publishing 2021-01-27 2021 /pmc/articles/PMC7838141/ /pubmed/33501565 http://dx.doi.org/10.1007/s10661-021-08852-2 Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Oldeland, Jens
Revermann, Rasmus
Luther-Mosebach, Jona
Buttschardt, Tillmann
Lehmann, Jan R. K.
New tools for old problems — comparing drone- and field-based assessments of a problematic plant species
title New tools for old problems — comparing drone- and field-based assessments of a problematic plant species
title_full New tools for old problems — comparing drone- and field-based assessments of a problematic plant species
title_fullStr New tools for old problems — comparing drone- and field-based assessments of a problematic plant species
title_full_unstemmed New tools for old problems — comparing drone- and field-based assessments of a problematic plant species
title_short New tools for old problems — comparing drone- and field-based assessments of a problematic plant species
title_sort new tools for old problems — comparing drone- and field-based assessments of a problematic plant species
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7838141/
https://www.ncbi.nlm.nih.gov/pubmed/33501565
http://dx.doi.org/10.1007/s10661-021-08852-2
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