EVALUATION OF AN UNMANNED AERIAL VEHICLE (UAV) FOR MEASURING AND MONITORING NATURAL DISASTER RISK AREAS

Detalhes bibliográficos
Autor(a) principal: Reiss, M. L.L.
Data de Publicação: 2022
Outros Autores: Mendes, T. S.G. [UNESP], Pereira, F. F. [UNESP], Andrade, M. R.M. de, Mendes, R. M., Simões, S. J.C. [UNESP], Lara, R. de, Souza, S. F. de
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.5194/isprs-archives-XLIII-B2-2022-1077-2022
http://hdl.handle.net/11449/240260
Resumo: This work presents an evaluation of a small UAV-RPAS-PPK to be used in the generation of digital surface models (DSM), without the need for control points, having as main application the monitoring of disaster risk areas (landslide and flooding). The areas to be measured are difficult to access, which prevents or makes access to the land difficult. In this evaluation, a study area of approximately 13 km2 was flown over, an average pixel of 11.6 cm and a total of 417 photos. The equipment used to acquire the images was a SenseFly eBee X, equipped with GNSS PPK for Direct Georeferencing (DG) and a camera model S.O.D.A. In all, 42 ground checkpoints were measured using a dual-frequency GNSS receiver. For both the measurement of the checkpoints and for the Direct Georeferencing (DG) base of the Unmanned Aerial Vehicles (UAV), a relative processing was performed, using the Brazilian Network for Continuous Monitoring (RBMC) as a reference. With this evaluation, it was possible to achieve a result (RMSE) for phototriangulation better than 1.2 pixels for horizontal and 1.5 pixels for vertical, without the need to measure any control points on the ground.
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spelling EVALUATION OF AN UNMANNED AERIAL VEHICLE (UAV) FOR MEASURING AND MONITORING NATURAL DISASTER RISK AREASMonitoring of Environmental RisksNatural DisastersNo Need for Control PointsPhotogrammetry with UAV-RPAS-PPKRisk AreasTopographic MappingThis work presents an evaluation of a small UAV-RPAS-PPK to be used in the generation of digital surface models (DSM), without the need for control points, having as main application the monitoring of disaster risk areas (landslide and flooding). The areas to be measured are difficult to access, which prevents or makes access to the land difficult. In this evaluation, a study area of approximately 13 km2 was flown over, an average pixel of 11.6 cm and a total of 417 photos. The equipment used to acquire the images was a SenseFly eBee X, equipped with GNSS PPK for Direct Georeferencing (DG) and a camera model S.O.D.A. In all, 42 ground checkpoints were measured using a dual-frequency GNSS receiver. For both the measurement of the checkpoints and for the Direct Georeferencing (DG) base of the Unmanned Aerial Vehicles (UAV), a relative processing was performed, using the Brazilian Network for Continuous Monitoring (RBMC) as a reference. With this evaluation, it was possible to achieve a result (RMSE) for phototriangulation better than 1.2 pixels for horizontal and 1.5 pixels for vertical, without the need to measure any control points on the ground.Lafoto - Laboratory of Photogrammetry Research Department of Geodesy Institute of Geoscience Ufrgs - Federal University of Rio Grande DosulDepartment of Environmental Engineering Institute of Science and Technology - Ict São Paulo State University - Unesp São José Dos CamposNational Center for Monitoring and Early Warning of Natural Disasters - Cemaden São José Dos CamposGraduate Program in Natural Disasters UNESP/CEMADEN São José Dos CamposLageo - Laboratory of Geodesy Department of Geodesy Institute of Geoscience Ufrgs - Federal University of Rio Grande DosulDepartment of Environmental Engineering Institute of Science and Technology - Ict São Paulo State University - Unesp São José Dos CamposGraduate Program in Natural Disasters UNESP/CEMADEN São José Dos CamposUfrgs - Federal University of Rio Grande DosulUniversidade Estadual Paulista (UNESP)São José Dos CamposReiss, M. L.L.Mendes, T. S.G. [UNESP]Pereira, F. F. [UNESP]Andrade, M. R.M. deMendes, R. M.Simões, S. J.C. [UNESP]Lara, R. deSouza, S. F. de2023-03-01T20:08:55Z2023-03-01T20:08:55Z2022-05-30info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject1077-1083http://dx.doi.org/10.5194/isprs-archives-XLIII-B2-2022-1077-2022International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, v. 43, n. B2-2022, p. 1077-1083, 2022.1682-1750http://hdl.handle.net/11449/24026010.5194/isprs-archives-XLIII-B2-2022-1077-20222-s2.0-85132033478Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archivesinfo:eu-repo/semantics/openAccess2023-03-01T20:08:55Zoai:repositorio.unesp.br:11449/240260Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462023-03-01T20:08:55Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv EVALUATION OF AN UNMANNED AERIAL VEHICLE (UAV) FOR MEASURING AND MONITORING NATURAL DISASTER RISK AREAS
title EVALUATION OF AN UNMANNED AERIAL VEHICLE (UAV) FOR MEASURING AND MONITORING NATURAL DISASTER RISK AREAS
spellingShingle EVALUATION OF AN UNMANNED AERIAL VEHICLE (UAV) FOR MEASURING AND MONITORING NATURAL DISASTER RISK AREAS
Reiss, M. L.L.
Monitoring of Environmental Risks
Natural Disasters
No Need for Control Points
Photogrammetry with UAV-RPAS-PPK
Risk Areas
Topographic Mapping
title_short EVALUATION OF AN UNMANNED AERIAL VEHICLE (UAV) FOR MEASURING AND MONITORING NATURAL DISASTER RISK AREAS
title_full EVALUATION OF AN UNMANNED AERIAL VEHICLE (UAV) FOR MEASURING AND MONITORING NATURAL DISASTER RISK AREAS
title_fullStr EVALUATION OF AN UNMANNED AERIAL VEHICLE (UAV) FOR MEASURING AND MONITORING NATURAL DISASTER RISK AREAS
title_full_unstemmed EVALUATION OF AN UNMANNED AERIAL VEHICLE (UAV) FOR MEASURING AND MONITORING NATURAL DISASTER RISK AREAS
title_sort EVALUATION OF AN UNMANNED AERIAL VEHICLE (UAV) FOR MEASURING AND MONITORING NATURAL DISASTER RISK AREAS
author Reiss, M. L.L.
author_facet Reiss, M. L.L.
Mendes, T. S.G. [UNESP]
Pereira, F. F. [UNESP]
Andrade, M. R.M. de
Mendes, R. M.
Simões, S. J.C. [UNESP]
Lara, R. de
Souza, S. F. de
author_role author
author2 Mendes, T. S.G. [UNESP]
Pereira, F. F. [UNESP]
Andrade, M. R.M. de
Mendes, R. M.
Simões, S. J.C. [UNESP]
Lara, R. de
Souza, S. F. de
author2_role author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Ufrgs - Federal University of Rio Grande Dosul
Universidade Estadual Paulista (UNESP)
São José Dos Campos
dc.contributor.author.fl_str_mv Reiss, M. L.L.
Mendes, T. S.G. [UNESP]
Pereira, F. F. [UNESP]
Andrade, M. R.M. de
Mendes, R. M.
Simões, S. J.C. [UNESP]
Lara, R. de
Souza, S. F. de
dc.subject.por.fl_str_mv Monitoring of Environmental Risks
Natural Disasters
No Need for Control Points
Photogrammetry with UAV-RPAS-PPK
Risk Areas
Topographic Mapping
topic Monitoring of Environmental Risks
Natural Disasters
No Need for Control Points
Photogrammetry with UAV-RPAS-PPK
Risk Areas
Topographic Mapping
description This work presents an evaluation of a small UAV-RPAS-PPK to be used in the generation of digital surface models (DSM), without the need for control points, having as main application the monitoring of disaster risk areas (landslide and flooding). The areas to be measured are difficult to access, which prevents or makes access to the land difficult. In this evaluation, a study area of approximately 13 km2 was flown over, an average pixel of 11.6 cm and a total of 417 photos. The equipment used to acquire the images was a SenseFly eBee X, equipped with GNSS PPK for Direct Georeferencing (DG) and a camera model S.O.D.A. In all, 42 ground checkpoints were measured using a dual-frequency GNSS receiver. For both the measurement of the checkpoints and for the Direct Georeferencing (DG) base of the Unmanned Aerial Vehicles (UAV), a relative processing was performed, using the Brazilian Network for Continuous Monitoring (RBMC) as a reference. With this evaluation, it was possible to achieve a result (RMSE) for phototriangulation better than 1.2 pixels for horizontal and 1.5 pixels for vertical, without the need to measure any control points on the ground.
publishDate 2022
dc.date.none.fl_str_mv 2022-05-30
2023-03-01T20:08:55Z
2023-03-01T20:08:55Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.5194/isprs-archives-XLIII-B2-2022-1077-2022
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, v. 43, n. B2-2022, p. 1077-1083, 2022.
1682-1750
http://hdl.handle.net/11449/240260
10.5194/isprs-archives-XLIII-B2-2022-1077-2022
2-s2.0-85132033478
url http://dx.doi.org/10.5194/isprs-archives-XLIII-B2-2022-1077-2022
http://hdl.handle.net/11449/240260
identifier_str_mv International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, v. 43, n. B2-2022, p. 1077-1083, 2022.
1682-1750
10.5194/isprs-archives-XLIII-B2-2022-1077-2022
2-s2.0-85132033478
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 1077-1083
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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