Quality assessment of products generated by survey of area using remotely piloted aircraft and control points

Detalhes bibliográficos
Autor(a) principal: Weis, Maíra Guarlot
Data de Publicação: 2022
Outros Autores: Pessi, Dhonatan Diego, Aquino, Jonanthan Valença, Luiz, Roberto Bueno, Moreira, Rodrigo Martins, Paranhos Filho, Antonio Conceição, Silva, Normandes Matos da
Tipo de documento: Artigo
Idioma: por
Título da fonte: Research, Society and Development
Texto Completo: https://rsdjournal.org/index.php/rsd/article/view/26396
Resumo: Space technologies have allowed productivity gains and an improvement in cost-benefit, being the case of most activities that depend on a spatio-temporal analysis of their occupation on the Earth's surface. The use of georeferenced high spatial resolution images together with Geographic Information Systems (GIS) contributes significantly to environmental studies. Even with all technological advances, georeferenced images still have positional uncertainties and, therefore, their quality must be evaluated in order to increase the accuracy of the products generated. In Brazil, this assessment can be made from the Cartographic Accuracy Standard for Digital Cartographic Products (PEC-PCD) defined by the Technical Specification for the Acquisition of Vector Geospatial Data (ET-ADGV) (DSG, 2011), being based on the Standard of Cartographic Accuracy (PEC) defined in Decree-Law no. 89,817 of 1984 (BRASIL, 1984), which regulates the classification of products as to their accuracy. The aim of this work was to use control points collected with Real-Time Kinematic positioning system to reduce positional uncertainties and errors of georeferenced images in order to contribute to the search for functional and dynamic forms of management, control and environmental recovery. The study area is located in the northeastern region of the municipality of Rondonópolis - MT, between coordinates 16 ° 6'57.91 "S and 54 ° 29'3.69" O; 16 ° 7'1.04 "S and 54 ° 29'42.50" O, with an area of approximately 77 hectares. For the mapping of the area, aerial photographs of high spatial resolution were used, obtained through an RPA model DJI Phanton Pro 4 and six control points were collected in the area using a Topcon Hiper V GNSS receiver. Data processing was performed using the Agisoft Metashape Professional software (Agisoft, 2018). As a final product, the Digital Elevation Model - DEM was obtained together with the level curves, and for comparative purposes, two processing reports were generated, one before the insertion of the support points and the other containing the points. It was concluded that the insertion of the support points significantly decreased the projection errors contained in the referenced images, and before the total error in the x, y and z axes was estimated at 8.507m and after the insertion the error became 0.191 m. From this product with refined accuracy, it was possible to identify the erosions of the study site efficiently, generating results and an interesting routine for the management of degraded areas, giving a way for research centers to use this method in the management of places that suffered from plant suppression and present erosion from this suppression.
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spelling Quality assessment of products generated by survey of area using remotely piloted aircraft and control pointsEvaluación de la calidad de los productos generados por encuesta de área utilizando una aeronave pilotada a distancia y puntos de controlAvaliação da qualidade de produtos gerados por levantamento de área utilizando uma aeronave remotamente pilotada e pontos de controleCartographic Accuracy StandardHigh Spatial Resolution ImagesPositional errors.Estándar de precisión cartográficaImágenes de alta resolución espacialErrores de posición.Padrão de Exatidão CartográficaImagens de Alta Resolução EspacialErros posicionais.Space technologies have allowed productivity gains and an improvement in cost-benefit, being the case of most activities that depend on a spatio-temporal analysis of their occupation on the Earth's surface. The use of georeferenced high spatial resolution images together with Geographic Information Systems (GIS) contributes significantly to environmental studies. Even with all technological advances, georeferenced images still have positional uncertainties and, therefore, their quality must be evaluated in order to increase the accuracy of the products generated. In Brazil, this assessment can be made from the Cartographic Accuracy Standard for Digital Cartographic Products (PEC-PCD) defined by the Technical Specification for the Acquisition of Vector Geospatial Data (ET-ADGV) (DSG, 2011), being based on the Standard of Cartographic Accuracy (PEC) defined in Decree-Law no. 89,817 of 1984 (BRASIL, 1984), which regulates the classification of products as to their accuracy. The aim of this work was to use control points collected with Real-Time Kinematic positioning system to reduce positional uncertainties and errors of georeferenced images in order to contribute to the search for functional and dynamic forms of management, control and environmental recovery. The study area is located in the northeastern region of the municipality of Rondonópolis - MT, between coordinates 16 ° 6'57.91 "S and 54 ° 29'3.69" O; 16 ° 7'1.04 "S and 54 ° 29'42.50" O, with an area of approximately 77 hectares. For the mapping of the area, aerial photographs of high spatial resolution were used, obtained through an RPA model DJI Phanton Pro 4 and six control points were collected in the area using a Topcon Hiper V GNSS receiver. Data processing was performed using the Agisoft Metashape Professional software (Agisoft, 2018). As a final product, the Digital Elevation Model - DEM was obtained together with the level curves, and for comparative purposes, two processing reports were generated, one before the insertion of the support points and the other containing the points. It was concluded that the insertion of the support points significantly decreased the projection errors contained in the referenced images, and before the total error in the x, y and z axes was estimated at 8.507m and after the insertion the error became 0.191 m. From this product with refined accuracy, it was possible to identify the erosions of the study site efficiently, generating results and an interesting routine for the management of degraded areas, giving a way for research centers to use this method in the management of places that suffered from plant suppression and present erosion from this suppression.Las tecnologías espaciales han permitido ganancias de productividad y una mejora en la rentabilidad, como es el caso de la mayoría de las actividades que dependen de un análisis espacio-temporal de su ocupación en la superficie terrestre. Aún con todos los avances tecnológicos, las imágenes georreferenciadas aún presentan incertidumbres posicionales y, por lo tanto, se debe evaluar su calidad para aumentar la precisión de los productos generados. En Brasil, esta evaluación puede hacerse a partir del Estándar de Exactitud Cartográfica para Productos Cartográficos Digitales (PEC-PCD) definido por la Especificación Técnica para la Adquisición de Datos Geoespaciales Vectoriales (ET-ADGV) (DSG, 2011), teniendo como base el Estándar de Exactitud Cartográfica (PEC) definida en el Decreto-Ley n. 89.817 de 1984 (BRASIL, 1984), que regula la clasificación de productos en cuanto a su exactitud. El objetivo de este trabajo fue reducir las incertidumbres y errores posicionales de imágenes georreferenciadas a través de puntos de control recolectados con un RTK, con el fin de contribuir a la búsqueda de formas funcionales y dinámicas de gestión, control y recuperación ambiental. El área de estudio está ubicada en la región nororiental del Municipio de Rondonópolis, MT, entre las coordenadas 16° 6'57.91"S y 54°29'3.69"W; 16° 7'1.04"S y 54°29'42.50"W, con aproximadamente 77 hectáreas. Para el mapeo del área se utilizaron fotografías aéreas de alta resolución espacial, obtenidas a través de un RPA modelo DJI Phantom 4 Pro, siendo recolectadas seis puntos de control en el área utilizando un receptor GNSS Topcon Hiper V. El procesamiento de datos se realizó en el software Agisoft Metashape Profesional (Agisoft, 2018). Como producto final se obtuvo el Modelo Digital de Elevación - MDE junto con las curvas de nivel y con fines comparativos se generaron dos informes de procesamiento, uno antes de la inserción de los puntos de apoyo y otro que contiene estos puntos. La inserción de puntos de control redujo significativamente los errores de proyección contenidos en las imágenes referenciadas, mientras que antes el error total en los ejes x, y y z se estimaba en 8.507m y luego de la inserción el error pasó a ser de 0.191m. A partir de este producto con precisión refinada, fue posible identificar las erosiones del sitio de estudio de manera eficiente, generando resultados y una rutina interesante para el manejo de áreas degradadas, dando paso a que los centros de investigación utilicen este método en el manejo de lugares que sufrieron de la supresión de plantas y la erosión presente de esta supresión.Tecnologias espaciais têm permitido ganhos de produtividade e uma melhoria do custo-benefício, sendo o caso da maioria das atividades que dependem de uma análise espaço-temporal da sua ocupação sobre a superfície terrestre. Mesmo com todo o avanço tecnológico, imagens georreferenciadas podem apresentar incertezas de caráter posicional e, portanto, a qualidade das mesmas deve ser avaliada com o intuito de aumentar a acurácia dos produtos gerados. Existe no Brasil uma norma técnica onde pode ser realizada este tipo de avaliação, que é o Padrão de Exatidão Cartográfica para Produtos Cartográficos Digitais (PEC-PCD) definido pela Especificação Técnica para a Aquisição de Dados Geoespaciais Vetoriais (ET-ADGV) (DSG, 2011), sendo baseado no Padrão de Exatidão Cartográfico (PEC) definido no Decreto-Lei nº. 89.817 de 1984 (BRASIL, 1984), que regulamenta a classificação dos produtos quanto à sua acurácia. Neste trabalho objetivou-se por meio de pontos de controle coletados com um RTK, diminuir as incertezas e erros posicionais das imagens georreferenciadas tendo em vista contribuir com a busca de formas funcionais e dinâmicas de gestão, controle e recuperação ambiental. A área de estudo se encontra na região nordeste do Município de Rondonópolis, MT, entre as coordenadas 16° 6'57.91"S e 54°29'3.69"O; 16° 7'1.04"S e 54°29'42.50"O, com aproximadamente 77 hectares. Para o mapeamento da área foram utilizadas fotografias aéreas de alta resolução espacial, obtidas por meio de uma RPA modelo DJI Phantom 4 Pro, sendo coletados seis pontos de controle na área utilizando um receptor GNSS Topcon Hiper V. O processamento de dados foi realizado no software Agisoft Metashape Professional (Agisoft, 2018). Como produto final obteve-se o Modelo Digital de Elevação – MDE juntamente com as curvas de nível e para fins comparativos foram gerados dois relatórios de processamento, um antes da inserção dos pontos de apoio e outro contendo esses pontos. A inserção dos pontos de controle diminuiu de maneira significativa os erros de projeção contidos nas imagens referenciadas, sendo que antes o erro total nos eixos x, y e z estava estimado em 8,507m e após a inserção o erro passou a ser de 0,191m. A partir desse produto com a acurácia refinada, foi possível identificar as erosões do local de estudo de maneira eficiente, gerando resultados e uma rotina interessante para a gestão de áreas degradadas, dando um caminho para centros de pesquisa utilizarem desse método na gestão de locais que sofreram com a supressão vegetal e apresentam erosões provenientes dessa supressão.Research, Society and Development2022-03-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/2639610.33448/rsd-v11i4.26396Research, Society and Development; Vol. 11 No. 4; e2111426396Research, Society and Development; Vol. 11 Núm. 4; e2111426396Research, Society and Development; v. 11 n. 4; e21114263962525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/26396/23624Copyright (c) 2022 Maíra Guarlot Weis; Dhonatan Diego Pessi; Jonanthan Valença Aquino; Roberto Bueno Luiz; Rodrigo Martins Moreira; Antonio Conceição Paranhos Filho; Normandes Matos da Silvahttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccess Weis, Maíra GuarlotPessi, Dhonatan DiegoAquino, Jonanthan Valença Luiz, Roberto Bueno Moreira, Rodrigo Martins Paranhos Filho, Antonio ConceiçãoSilva, Normandes Matos da 2022-03-27T17:17:09Zoai:ojs.pkp.sfu.ca:article/26396Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:44:27.392478Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false
dc.title.none.fl_str_mv Quality assessment of products generated by survey of area using remotely piloted aircraft and control points
Evaluación de la calidad de los productos generados por encuesta de área utilizando una aeronave pilotada a distancia y puntos de control
Avaliação da qualidade de produtos gerados por levantamento de área utilizando uma aeronave remotamente pilotada e pontos de controle
title Quality assessment of products generated by survey of area using remotely piloted aircraft and control points
spellingShingle Quality assessment of products generated by survey of area using remotely piloted aircraft and control points
Weis, Maíra Guarlot
Cartographic Accuracy Standard
High Spatial Resolution Images
Positional errors.
Estándar de precisión cartográfica
Imágenes de alta resolución espacial
Errores de posición.
Padrão de Exatidão Cartográfica
Imagens de Alta Resolução Espacial
Erros posicionais.
title_short Quality assessment of products generated by survey of area using remotely piloted aircraft and control points
title_full Quality assessment of products generated by survey of area using remotely piloted aircraft and control points
title_fullStr Quality assessment of products generated by survey of area using remotely piloted aircraft and control points
title_full_unstemmed Quality assessment of products generated by survey of area using remotely piloted aircraft and control points
title_sort Quality assessment of products generated by survey of area using remotely piloted aircraft and control points
author Weis, Maíra Guarlot
author_facet Weis, Maíra Guarlot
Pessi, Dhonatan Diego
Aquino, Jonanthan Valença
Luiz, Roberto Bueno
Moreira, Rodrigo Martins
Paranhos Filho, Antonio Conceição
Silva, Normandes Matos da
author_role author
author2 Pessi, Dhonatan Diego
Aquino, Jonanthan Valença
Luiz, Roberto Bueno
Moreira, Rodrigo Martins
Paranhos Filho, Antonio Conceição
Silva, Normandes Matos da
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Weis, Maíra Guarlot
Pessi, Dhonatan Diego
Aquino, Jonanthan Valença
Luiz, Roberto Bueno
Moreira, Rodrigo Martins
Paranhos Filho, Antonio Conceição
Silva, Normandes Matos da
dc.subject.por.fl_str_mv Cartographic Accuracy Standard
High Spatial Resolution Images
Positional errors.
Estándar de precisión cartográfica
Imágenes de alta resolución espacial
Errores de posición.
Padrão de Exatidão Cartográfica
Imagens de Alta Resolução Espacial
Erros posicionais.
topic Cartographic Accuracy Standard
High Spatial Resolution Images
Positional errors.
Estándar de precisión cartográfica
Imágenes de alta resolución espacial
Errores de posición.
Padrão de Exatidão Cartográfica
Imagens de Alta Resolução Espacial
Erros posicionais.
description Space technologies have allowed productivity gains and an improvement in cost-benefit, being the case of most activities that depend on a spatio-temporal analysis of their occupation on the Earth's surface. The use of georeferenced high spatial resolution images together with Geographic Information Systems (GIS) contributes significantly to environmental studies. Even with all technological advances, georeferenced images still have positional uncertainties and, therefore, their quality must be evaluated in order to increase the accuracy of the products generated. In Brazil, this assessment can be made from the Cartographic Accuracy Standard for Digital Cartographic Products (PEC-PCD) defined by the Technical Specification for the Acquisition of Vector Geospatial Data (ET-ADGV) (DSG, 2011), being based on the Standard of Cartographic Accuracy (PEC) defined in Decree-Law no. 89,817 of 1984 (BRASIL, 1984), which regulates the classification of products as to their accuracy. The aim of this work was to use control points collected with Real-Time Kinematic positioning system to reduce positional uncertainties and errors of georeferenced images in order to contribute to the search for functional and dynamic forms of management, control and environmental recovery. The study area is located in the northeastern region of the municipality of Rondonópolis - MT, between coordinates 16 ° 6'57.91 "S and 54 ° 29'3.69" O; 16 ° 7'1.04 "S and 54 ° 29'42.50" O, with an area of approximately 77 hectares. For the mapping of the area, aerial photographs of high spatial resolution were used, obtained through an RPA model DJI Phanton Pro 4 and six control points were collected in the area using a Topcon Hiper V GNSS receiver. Data processing was performed using the Agisoft Metashape Professional software (Agisoft, 2018). As a final product, the Digital Elevation Model - DEM was obtained together with the level curves, and for comparative purposes, two processing reports were generated, one before the insertion of the support points and the other containing the points. It was concluded that the insertion of the support points significantly decreased the projection errors contained in the referenced images, and before the total error in the x, y and z axes was estimated at 8.507m and after the insertion the error became 0.191 m. From this product with refined accuracy, it was possible to identify the erosions of the study site efficiently, generating results and an interesting routine for the management of degraded areas, giving a way for research centers to use this method in the management of places that suffered from plant suppression and present erosion from this suppression.
publishDate 2022
dc.date.none.fl_str_mv 2022-03-09
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dc.publisher.none.fl_str_mv Research, Society and Development
publisher.none.fl_str_mv Research, Society and Development
dc.source.none.fl_str_mv Research, Society and Development; Vol. 11 No. 4; e2111426396
Research, Society and Development; Vol. 11 Núm. 4; e2111426396
Research, Society and Development; v. 11 n. 4; e2111426396
2525-3409
reponame:Research, Society and Development
instname:Universidade Federal de Itajubá (UNIFEI)
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instname_str Universidade Federal de Itajubá (UNIFEI)
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reponame_str Research, Society and Development
collection Research, Society and Development
repository.name.fl_str_mv Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)
repository.mail.fl_str_mv rsd.articles@gmail.com
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