Evaluation of an unmanned aerial vehicle (UAV) for measuring and monitoring natural disaster risk areas

Página do item simplificado
dc.contributor.authorReiss, Mário Luiz Lopes
dc.contributor.authorMendes, Tatiana Sussel Gonçalves
dc.contributor.authorPereira, Felicia França
dc.contributor.authorAndrade, Marcio Roberto Magalhães de
dc.contributor.authorMendes, Rodolfo Moreda
dc.contributor.authorSimões, Silvio Jorge Coelho
dc.contributor.authorSantos Junior, Roosevelt de Lara
dc.contributor.authorSouza, Sergio Florencio de
dc.contributor.eventNice
dc.date.accessioned2025-03-24T19:08:03Z
dc.date.available2025-03-24T19:08:03Z
dc.date.issued32022
dc.description.abstractThis 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.
dc.description.physical7 p.
dc.description.sponsorshipFinanciadora de Estudos e Projetos (Finep)
dc.format.mimetypePDF
dc.identifier.bibliographicCitationREISS, Mários Luiz Lopes et al. Evaluation of an unmanned aerial vehicle (UAV) for measuring and monitoring natural disaster risk areas. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, p. 1077–1083, 2022. Proceedings, Nice, 2022. Disponível em: https://isprs-archives.copernicus.org/articles/XLIII-B2-2022/1077/2022/.
dc.identifier.doi10.5194/isprs-archives-XLIII-B2-2022-1077-2022
dc.identifier.urihttps://repositorio.univap.br/handle/123456789/758
dc.language.isoen_US
dc.rights.holderThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
dc.subject.keywordPhotogrammetry
dc.subject.keywordTopographic Mapping
dc.subject.keywordNatural Disasters
dc.subject.keywordRisk Areas
dc.subject.keywordMonitoring of Environmental Risks
dc.titleEvaluation of an unmanned aerial vehicle (UAV) for measuring and monitoring natural disaster risk areas
dc.typeAnais de Congresso
dc.type.eventCongresso

Arquivos

Pacote Original
Agora exibindo 1 - 1 de 1
Imagem de Miniatura
Nome:
Evaluation of an unmanned aerial vehicle (UAV) for measuring and monitoring natural disaster risk areas.pdf
Tamanho:
1.38 MB
Formato:
Adobe Portable Document Format
Baixar
Licença do Pacote
Agora exibindo 1 - 1 de 1
Nenhuma Miniatura disponível
Nome:
license.txt
Tamanho:
1.71 KB
Formato:
Item-specific license agreed upon to submission
Descrição:
Baixar

Coleções

Produção acadêmica-PPGPLUR