EVALUATION OF AN UNMANNED AERIAL VEHICLE (UAV) FOR MEASURING AND MONITORING NATURAL DISASTER RISK AREAS
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , , |
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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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 |
|
_version_ |
1803046518478864384 |