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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2021
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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. |
format | Online Article Text |
id | pubmed-7838141 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
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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