EVALUATION OF PHOTOGRAMMETRIC PRODUCTS OF A KARST UNIT OBTAINED WITH A DRONE
Background. The rapid technological development of drones has been used in different disciplines as a new tool for the collection of geospatial data. Depending on the application of geospatial data, users may not require high absolute precision and therefore the measurement error within the model (r...
| Autores: | , , , , |
|---|---|
| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2021 |
| País: | México |
| Institución: | UNIVERSIDAD AUTÓNOMA DE YUCATÁN |
| Repositorio: | Tropical and Subtropical Agroecosystems |
| Idioma: | inglés |
| OAI Identifier: | oai:ojs.www.revista.ccba.uady.mx:article/3613 |
| Acceso en línea: | https://www.revista.ccba.uady.mx/ojs/index.php/TSA/article/view/3613 |
| Access Level: | acceso abierto |
| Palabra clave: | Relative precision; root mean squared error; digital elevation models; orthomosaic (precisión relativa; raíz del error cuadrático medio; modelos digitales de elevación; ortomosaicos) |
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EVALUATION OF PHOTOGRAMMETRIC PRODUCTS OF A KARST UNIT OBTAINED WITH A DRONE EVALUACIÓN DE PRODUCTOS FOTOGRAMÉTRICOS DE UNA UNIDAD KÁRSTICA OBTENIDOS CON UN DRON |
| title |
EVALUATION OF PHOTOGRAMMETRIC PRODUCTS OF A KARST UNIT OBTAINED WITH A DRONE |
| spellingShingle |
EVALUATION OF PHOTOGRAMMETRIC PRODUCTS OF A KARST UNIT OBTAINED WITH A DRONE Gijón-Yescas, Gonzalo Neftaly Relative precision; root mean squared error; digital elevation models; orthomosaic (precisión relativa; raíz del error cuadrático medio; modelos digitales de elevación; ortomosaicos) |
| title_short |
EVALUATION OF PHOTOGRAMMETRIC PRODUCTS OF A KARST UNIT OBTAINED WITH A DRONE |
| title_full |
EVALUATION OF PHOTOGRAMMETRIC PRODUCTS OF A KARST UNIT OBTAINED WITH A DRONE |
| title_fullStr |
EVALUATION OF PHOTOGRAMMETRIC PRODUCTS OF A KARST UNIT OBTAINED WITH A DRONE |
| title_full_unstemmed |
EVALUATION OF PHOTOGRAMMETRIC PRODUCTS OF A KARST UNIT OBTAINED WITH A DRONE |
| title_sort |
EVALUATION OF PHOTOGRAMMETRIC PRODUCTS OF A KARST UNIT OBTAINED WITH A DRONE |
| dc.creator.none.fl_str_mv |
Gijón-Yescas, Gonzalo Neftaly Estrada-Medina, Héctor Aguilar, Yameli Guadalupe Medina-Esquivel, Rubén Arturo Euán-Ávila, Jorge Iván |
| author |
Gijón-Yescas, Gonzalo Neftaly |
| author_facet |
Gijón-Yescas, Gonzalo Neftaly Estrada-Medina, Héctor Aguilar, Yameli Guadalupe Medina-Esquivel, Rubén Arturo Euán-Ávila, Jorge Iván |
| author_role |
author |
| author2 |
Estrada-Medina, Héctor Aguilar, Yameli Guadalupe Medina-Esquivel, Rubén Arturo Euán-Ávila, Jorge Iván |
| author2_role |
author author author author |
| dc.contributor.none.fl_str_mv |
(Consejo Nacional de Ciencia y Tecnología Universidad Autónoma de Yucatán laboratorio de análisis de suelos, plantas y agua Instituto Nacional de Investigaciones Forestales, Agrícolas y Pecuarias) |
| dc.subject.none.fl_str_mv |
Relative precision; root mean squared error; digital elevation models; orthomosaic (precisión relativa; raíz del error cuadrático medio; modelos digitales de elevación; ortomosaicos) |
| topic |
Relative precision; root mean squared error; digital elevation models; orthomosaic (precisión relativa; raíz del error cuadrático medio; modelos digitales de elevación; ortomosaicos) |
| description |
Background. The rapid technological development of drones has been used in different disciplines as a new tool for the collection of geospatial data. Depending on the application of geospatial data, users may not require high absolute precision and therefore the measurement error within the model (relative precision) may be more important. Objective. To determine the root mean square error and the relative precision of the orthomosaics and digital elevation models at different heights generated with the SfM photogrammetric technique and a drone, over a sinkhole located in the Cenote Ring in the state of Yucatán. Methodology. Aerial images were acquired with a DJI Phantom 4 drone over a sinkhole at two heights, 80 and 100 m. Subsequently, the aerial images were processed obtaining digital elevation models (DEM) and orthomosaic with which the root mean squared error (RMSE) of the UTM coordinates (x, y) and elevations (z) was calculated. Finally, the relative precision was calculated by comparing the measurements in the field with those obtained in the DEMs and orthomosaics. Results. Flights at 100 m altitude showed the least variation in coordinates and elevations compared to flights at 80 m. The highest relative precision was recorded at 100 m high in the orthomosaics and ranged from 0.03 to 0.36 m with an average value of 0.22 m. Implications. With these results we can affirm that it is possible to carry out studies without control points in applications where a consistent and centimeter precision is not required. Conclusion. The 100 m high flights had the lowest RMSE and the highest relative accuracy. |
| publishDate |
2021 |
| dc.date.none.fl_str_mv |
2021-01-27 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
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article |
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publishedVersion |
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https://www.revista.ccba.uady.mx/ojs/index.php/TSA/article/view/3613 urn:ISSN:1870-0462-tsaes.v24i1.36130 10.56369/tsaes.3613 |
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https://www.revista.ccba.uady.mx/ojs/index.php/TSA/article/view/3613 |
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urn:ISSN:1870-0462-tsaes.v24i1.36130 10.56369/tsaes.3613 |
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eng |
| language |
eng |
| dc.relation.none.fl_str_mv |
https://www.revista.ccba.uady.mx/ojs/index.php/TSA/article/view/3613/1551 |
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http://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
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http://creativecommons.org/licenses/by/4.0 |
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openAccess |
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application/pdf |
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Universidad Autónoma de Yucatan |
| publisher.none.fl_str_mv |
Universidad Autónoma de Yucatan |
| dc.source.none.fl_str_mv |
Tropical and Subtropical Agroecosystems; Vol 24, No 1 (2021): (January - April) Tropical and Subtropical Agroecosystems; Vol 24, No 1 (2021): (January - April) 1870-0462 reponame:Tropical and Subtropical Agroecosystems instname:UNIVERSIDAD AUTÓNOMA DE YUCATÁN instacron:UADY |
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UNIVERSIDAD AUTÓNOMA DE YUCATÁN |
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EVALUATION OF PHOTOGRAMMETRIC PRODUCTS OF A KARST UNIT OBTAINED WITH A DRONEEVALUACIÓN DE PRODUCTOS FOTOGRAMÉTRICOS DE UNA UNIDAD KÁRSTICA OBTENIDOS CON UN DRONGijón-Yescas, Gonzalo NeftalyEstrada-Medina, HéctorAguilar, Yameli GuadalupeMedina-Esquivel, Rubén ArturoEuán-Ávila, Jorge IvánRelative precision; root mean squared error; digital elevation models; orthomosaic(precisión relativa; raíz del error cuadrático medio; modelos digitales de elevación; ortomosaicos)Background. The rapid technological development of drones has been used in different disciplines as a new tool for the collection of geospatial data. Depending on the application of geospatial data, users may not require high absolute precision and therefore the measurement error within the model (relative precision) may be more important. Objective. To determine the root mean square error and the relative precision of the orthomosaics and digital elevation models at different heights generated with the SfM photogrammetric technique and a drone, over a sinkhole located in the Cenote Ring in the state of Yucatán. Methodology. Aerial images were acquired with a DJI Phantom 4 drone over a sinkhole at two heights, 80 and 100 m. Subsequently, the aerial images were processed obtaining digital elevation models (DEM) and orthomosaic with which the root mean squared error (RMSE) of the UTM coordinates (x, y) and elevations (z) was calculated. Finally, the relative precision was calculated by comparing the measurements in the field with those obtained in the DEMs and orthomosaics. Results. Flights at 100 m altitude showed the least variation in coordinates and elevations compared to flights at 80 m. The highest relative precision was recorded at 100 m high in the orthomosaics and ranged from 0.03 to 0.36 m with an average value of 0.22 m. Implications. With these results we can affirm that it is possible to carry out studies without control points in applications where a consistent and centimeter precision is not required. Conclusion. The 100 m high flights had the lowest RMSE and the highest relative accuracy.Antecedentes. El rápido desarrollo tecnológico de los drones se ha utilizado en diferentes disciplinas como una nueva herramienta para la recolección de datos geoespaciales. Dependiendo de la aplicación de los datos geoespaciales, los usuarios pueden no requerir una alta precisión absoluta y, por lo tanto, el error de medición dentro del modelo (precisión relativa) puede ser más importante. Objetivo. Determinar la raíz del error cuadrático medio y la precisión relativa de los ortomosaicos y modelos digitales de elevación a diferentes alturas generados con la técnica fotogramétrica SfM y un dron, sobre una dolina ubicada en el Anillo de Cenotes en el estado de Yucatán. Metodología. Las imágenes aéreas se adquirieron con un dron DJI Phantom 4 sobre una dolina a dos alturas, 80 y 100 m. Posteriormente, las imágenes aéreas se procesaron obteniendo modelos digitales de elevación (MDE) y ortomosaicos con los cuales se calculó la raíz del error cuadrático medio (RMSE) de las coordenadas UTM (x,y) y elevaciones (z). Finalmente, se calculó la precisión relativa comparando las mediciones en campo con las obtenidas en los MDEs y ortomosaicos. Resultados. Los vuelos a 100 m de altura presentaron la menor variación de las coordenadas y elevaciones comparadas con los vuelos a 80 m. La precisión relativa más alta se registró a 100 m de altura en los ortomosaicos y varió de 0.03 a 0.36 m con un valor promedio de 0.22 m. Implicaciones. Con estos resultados podemos afirmar que es posible realizar estudios sin puntos de control en aplicaciones donde no se requiera una precisión centimétrica y consistente. Conclusión. Los vuelos a 100 m de altura presentaron RMSE más bajos y la precisión relativa más alta.Universidad Autónoma de Yucatan(Consejo Nacional de Ciencia y TecnologíaUniversidad Autónoma de Yucatán laboratorio de análisis de suelos, plantas y aguaInstituto Nacional de Investigaciones Forestales, Agrícolas y Pecuarias)2021-01-27info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://www.revista.ccba.uady.mx/ojs/index.php/TSA/article/view/3613urn:ISSN:1870-0462-tsaes.v24i1.3613010.56369/tsaes.3613Tropical and Subtropical Agroecosystems; Vol 24, No 1 (2021): (January - April)Tropical and Subtropical Agroecosystems; Vol 24, No 1 (2021): (January - April)1870-0462reponame:Tropical and Subtropical Agroecosystemsinstname:UNIVERSIDAD AUTÓNOMA DE YUCATÁNinstacron:UADYenghttps://www.revista.ccba.uady.mx/ojs/index.php/TSA/article/view/3613/1551Copyright (c) 2021 Yameli Guadalupe Aguilar, Gonzalo Neftaly Gijón-Yescas, Héctor Estrada-Medina, Rubén Arturo Medina-Esquivel, Jorge Iván Euán-Ávilahttp://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessoai:ojs.www.revista.ccba.uady.mx:article/36132024-08-22T17:23:09Z |
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15,808905 |