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...

Descripción completa

Detalles Bibliográficos
Autores: Ludwig, Marvin, Runge, Christian M., Friess, Nicolas, Koch, Tiziana L., Richter, Sebastian, Seyfried, Simon, Wraase, Luise, Lobo, Agustin, Sebastià, Ma. T., Reudenbach, Christoph, Nauss, Thomas
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2020
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:10459.1/70194
Acceso en línea:https://doi.org/10.3390/rs12223831
http://hdl.handle.net/10459.1/70194
Access Level:acceso abierto
Palabra clave:Unmanned aerial systems
Unmanned aerial vehicle
Time series
Accuracy
Reproducibility
Orthomosaic
Validation
Photogrammetry
id ES_7104160e3f40fdfcdec72cefdb25fc1f
oai_identifier_str oai:recercat.cat:10459.1/70194
network_acronym_str ES
network_name_str España
repository_id_str
spelling Quality Assessment of Photogrammetric Methods—A Workflow for Reproducible UAS OrthomosaicsLudwig, MarvinRunge, Christian M.Friess, NicolasKoch, Tiziana L.Richter, SebastianSeyfried, SimonWraase, LuiseLobo, AgustinSebastià, Ma. T.Reudenbach, ChristophNauss, ThomasUnmanned aerial systemsUnmanned aerial vehicleTime 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.MDPI202120212020info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttps://doi.org/10.3390/rs12223831http://hdl.handle.net/10459.1/70194http://hdl.handle.net/10459.1/70194reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)Inglésinfo:eu-repo/grantAgreement/MINECO//CGL2013-49142-C2-1-Rinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/CGL2017-85490-RReproducció del document publicat a: https://doi.org/10.3390/rs12223831Remote Sensing, 2020, vol. 12, núm. 22, p. 3831cc-by, (c) Ludwig et al., 2020info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0/oai:recercat.cat:10459.1/701942026-05-29T05:05:01Z
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 vehicle
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, Christian M.
Friess, Nicolas
Koch, Tiziana L.
Richter, Sebastian
Seyfried, Simon
Wraase, Luise
Lobo, Agustin
Sebastià, Ma. T.
Reudenbach, Christoph
Nauss, Thomas
author Ludwig, Marvin
author_facet Ludwig, Marvin
Runge, Christian M.
Friess, Nicolas
Koch, Tiziana L.
Richter, Sebastian
Seyfried, Simon
Wraase, Luise
Lobo, Agustin
Sebastià, Ma. T.
Reudenbach, Christoph
Nauss, Thomas
author_role author
author2 Runge, Christian M.
Friess, Nicolas
Koch, Tiziana L.
Richter, Sebastian
Seyfried, Simon
Wraase, Luise
Lobo, Agustin
Sebastià, Ma. T.
Reudenbach, Christoph
Nauss, Thomas
author2_role author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Unmanned aerial systems
Unmanned aerial vehicle
Time series
Accuracy
Reproducibility
Orthomosaic
Validation
Photogrammetry
topic Unmanned aerial systems
Unmanned aerial vehicle
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
2021
2021
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://doi.org/10.3390/rs12223831
http://hdl.handle.net/10459.1/70194
http://hdl.handle.net/10459.1/70194
url https://doi.org/10.3390/rs12223831
http://hdl.handle.net/10459.1/70194
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv info:eu-repo/grantAgreement/MINECO//CGL2013-49142-C2-1-R
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/CGL2017-85490-R
Reproducció del document publicat a: https://doi.org/10.3390/rs12223831
Remote Sensing, 2020, vol. 12, núm. 22, p. 3831
dc.rights.none.fl_str_mv cc-by, (c) Ludwig et al., 2020
info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/4.0/
rights_invalid_str_mv cc-by, (c) Ludwig et al., 2020
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869410622460919808
score 15,811543

Similares en LA Referencia