Quality Assessment of Photogrammetric Methods—A Workflow for Reproducible UAS Orthomosaics

Unmanned aerial systems (UAS) are cost-effective, flexible and offer a wide range of applications. If equipped with optical sensors, orthophotos with very high spatial resolution can be retrieved using photogrammetric processing. The use of these images in multi-temporal analysis and the combination...

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Autores: Ludwig, Marvin, Runge, Cristian Mestre, Friess, Nicolas, Koch, Tiziana L., Richter, Sebastian, Seyfried, Simon, Wraase, Luise, Lobo, Agustín, Sebastià, María Teresa, Reudenbach, Christoph, Nauss, Thomas
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2020
País:España
Recursos:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/225630
Acesso em linha:http://hdl.handle.net/10261/225630
Access Level:acceso abierto
Palavra-chave:Unmanned aerial systems
Unmanned aerial vehicles
Time series
Accuracy
Reproducibility
Orthomosaic
Validation
Photogrammetry
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spelling Quality Assessment of Photogrammetric Methods—A Workflow for Reproducible UAS OrthomosaicsLudwig, MarvinRunge, Cristian MestreFriess, NicolasKoch, Tiziana L.Richter, SebastianSeyfried, SimonWraase, LuiseLobo, AgustínSebastià, María TeresaReudenbach, ChristophNauss, ThomasUnmanned aerial systemsUnmanned aerial vehiclesTime seriesAccuracyReproducibilityOrthomosaicValidationPhotogrammetryUnmanned aerial systems (UAS) are cost-effective, flexible and offer a wide range of applications. If equipped with optical sensors, orthophotos with very high spatial resolution can be retrieved using photogrammetric processing. The use of these images in multi-temporal analysis and the combination with spatial data imposes high demands on their spatial accuracy. This georeferencing accuracy of UAS orthomosaics is generally expressed as the checkpoint error. However, the checkpoint error alone gives no information about the reproducibility of the photogrammetrical compilation of orthomosaics. This study optimizes the geolocation of UAS orthomosaics time series and evaluates their reproducibility. A correlation analysis of repeatedly computed orthomosaics with identical parameters revealed a reproducibility of 99% in a grassland and 75% in a forest area. Between time steps, the corresponding positional errors of digitized objects lie between 0.07 m in the grassland and 0.3 m in the forest canopy. The novel methods were integrated into a processing workflow to enhance the traceability and increase the quality of UAS remote sensing.This research was funded by the Hessian State Ministry for Higher Education, Research and the Arts, Germany, as part of the LOEWE priority project Nature 4.0—Sensing Biodiversity. The grassland study was funded by the Spanish Science Foundation FECYT-MINECO through the BIOGEI (GL2013- 49142-C2-1-R) and IMAGINE (CGL2017-85490-R) projects, and by the University of Lleida; and supported by a FI Fellowship to C.M.R. (2019 FI_B 01167) by the Catalan Government.Peer reviewedMultidisciplinary Digital Publishing InstituteHessen State Ministry of Higher Education, Research and the ArtsMinisterio de Economía y Competitividad (España)Generalitat de CatalunyaUniversidad de LleidaConsejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]2020202020202020info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/225630reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/GL2013- 49142-C2-1-RSíinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/2256302026-05-22T06:33:51Z
dc.title.none.fl_str_mv Quality Assessment of Photogrammetric Methods—A Workflow for Reproducible UAS Orthomosaics
title Quality Assessment of Photogrammetric Methods—A Workflow for Reproducible UAS Orthomosaics
spellingShingle Quality Assessment of Photogrammetric Methods—A Workflow for Reproducible UAS Orthomosaics
Ludwig, Marvin
Unmanned aerial systems
Unmanned aerial vehicles
Time series
Accuracy
Reproducibility
Orthomosaic
Validation
Photogrammetry
title_short Quality Assessment of Photogrammetric Methods—A Workflow for Reproducible UAS Orthomosaics
title_full Quality Assessment of Photogrammetric Methods—A Workflow for Reproducible UAS Orthomosaics
title_fullStr Quality Assessment of Photogrammetric Methods—A Workflow for Reproducible UAS Orthomosaics
title_full_unstemmed Quality Assessment of Photogrammetric Methods—A Workflow for Reproducible UAS Orthomosaics
title_sort Quality Assessment of Photogrammetric Methods—A Workflow for Reproducible UAS Orthomosaics
dc.creator.none.fl_str_mv Ludwig, Marvin
Runge, Cristian Mestre
Friess, Nicolas
Koch, Tiziana L.
Richter, Sebastian
Seyfried, Simon
Wraase, Luise
Lobo, Agustín
Sebastià, María Teresa
Reudenbach, Christoph
Nauss, Thomas
author Ludwig, Marvin
author_facet Ludwig, Marvin
Runge, Cristian Mestre
Friess, Nicolas
Koch, Tiziana L.
Richter, Sebastian
Seyfried, Simon
Wraase, Luise
Lobo, Agustín
Sebastià, María Teresa
Reudenbach, Christoph
Nauss, Thomas
author_role author
author2 Runge, Cristian Mestre
Friess, Nicolas
Koch, Tiziana L.
Richter, Sebastian
Seyfried, Simon
Wraase, Luise
Lobo, Agustín
Sebastià, María Teresa
Reudenbach, Christoph
Nauss, Thomas
author2_role author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Hessen State Ministry of Higher Education, Research and the Arts
Ministerio de Economía y Competitividad (España)
Generalitat de Catalunya
Universidad de Lleida
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Unmanned aerial systems
Unmanned aerial vehicles
Time series
Accuracy
Reproducibility
Orthomosaic
Validation
Photogrammetry
topic Unmanned aerial systems
Unmanned aerial vehicles
Time series
Accuracy
Reproducibility
Orthomosaic
Validation
Photogrammetry
description Unmanned aerial systems (UAS) are cost-effective, flexible and offer a wide range of applications. If equipped with optical sensors, orthophotos with very high spatial resolution can be retrieved using photogrammetric processing. The use of these images in multi-temporal analysis and the combination with spatial data imposes high demands on their spatial accuracy. This georeferencing accuracy of UAS orthomosaics is generally expressed as the checkpoint error. However, the checkpoint error alone gives no information about the reproducibility of the photogrammetrical compilation of orthomosaics. This study optimizes the geolocation of UAS orthomosaics time series and evaluates their reproducibility. A correlation analysis of repeatedly computed orthomosaics with identical parameters revealed a reproducibility of 99% in a grassland and 75% in a forest area. Between time steps, the corresponding positional errors of digitized objects lie between 0.07 m in the grassland and 0.3 m in the forest canopy. The novel methods were integrated into a processing workflow to enhance the traceability and increase the quality of UAS remote sensing.
publishDate 2020
dc.date.none.fl_str_mv 2020
2020
2020
2020
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/225630
url http://hdl.handle.net/10261/225630
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv #PLACEHOLDER_PARENT_METADATA_VALUE#
info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/GL2013- 49142-C2-1-R
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute
publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,811543

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