Métodos de evaluación de la calidad posicional en Hispanoamérica: análisis de la situación

López, Francisco Javier Ariza; Xavier, Emerson M. A.; Chicaiza, Elena; Buenaño, Xavier

doi:10.35424/rcarto.i94.342

Cited by 4 publications

(5 citation statements)

References 1 publication

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“…This research project generated the following publications at the present date: Xavier et al (2014), Ariza-López et al (2015, Xavier et al (2015aXavier et al ( , 2015bXavier et al ( , 2015c, Xavier et al (2016aXavier et al ( , 2016b, Ariza-López et al (2017) and Xavier et al (2017).…”

Section: Research Question Hypothesis and Goalsmentioning

confidence: 99%

Evaluación automática de la calidad de datos geoespaciales mediante servicios web

Xavier¹,

López

Ureña-Cámara

2019

rcarto

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The geomatics sector is going through a data overload scenario which new geospatial datasets are generated almost daily. However there are few or nothing infor- mation about the quality of these datasets, and they should be evaluated aiming to provide users some information about their quality. In this context we propose a solution for the automatic quality evaluation of geospatial datasets using the web services platform. This approach is compound by automatic evaluation procedures for quality control of topological consistency, completeness, and positional accuracy described in the Brazilian quality standard. Some procedures require an external dataset for comparison purposes. Hence we provide a set of synthetic datasets and apply over them an experimental design aiming to select suitable methods to find the correspondences between datasets. The solution has an interoperability tier that links users and automatic procedures using the standardized interface of Web Processing Service (WPS). Our results showed that the automatic procedure works very similar to the manual one.

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Section: Research Question Hypothesis and Goalsmentioning

confidence: 99%

Evaluación automática de la calidad de datos geoespaciales mediante servicios web

Xavier¹,

López

Ureña-Cámara

2019

rcarto

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Section: Research Question Hypothesis and Goalsmentioning

confidence: 99%

Automatic evaluation of geospatial data quality using web services

Xavier¹,

López²,

Ureña-Cámara³

2019

rcar

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El sector geomático vive un escenario de sobrecarga de datos donde casi todos los días se generan nuevas bases de datos geoespaciales (BDG). Sin embargo, hay poca o ninguna información sobre la calidad de estas BDG. En este contexto proponemos una solución para la evaluación automática de la calidad de los datos geoespaciales utilizando servicios web. Este enfoque está compuesto por procedimientos de evaluación automática para el control de calidad de la consistencia topológica, comple- ción y exactitud posicional según se especifican en el estándar brasileño. Algunos procedimientos de control requieren datos externos para fines de comparación. Por ello, en este trabajo, proporcionamos un conjunto de datos sintéticos generados según un diseño de experimentos con el objetivo de seleccionar los métodos más adecuados para encontrar correspondencias entre las BDG. La solución desarrollada tiene un capa de interoperabilidad que vincula usuarios y procedimientos automáticos utilizando la interfaz del Web Processing Service (WPS). Nuestros resultados mostraron que el procedimiento automático funcionó muy similar al manual.

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“…The Cartographic Accuracy Standard was established by Decree 89 817 of June 20, 1984 of the Brazilian government (Presidency of the Republic, 1984). According to the Geographical Service Directorate -DSG of Brazil (Ministry of Defense, 2016), the Cartographic Accuracy Standard is an indicator of statistical dispersion, relative to a 90% probability, which defines the accuracy of cartographic works, also referred to by Santos Filho and Oliveira (2019), Sampaio (2018) and Ariza-López et al (2017).…”

Section: Cartographic Accuracy Standard (Cas)mentioning

confidence: 99%

“…Due to the advancement of technology, the use of digital elevation models elaborated from SAR (Synthetic Aperture Radar) data has become widespread and used in various fields of science and many of them are freely available. Good examples of quality control tests involving these products are reported in Callahanand Berber (2022), Alba-Fernández (2021), Ariza-López and Reinoso-Gordo (2021), Rodríguez-Avi (2021), Ariza-López et al (2017), Ariza-López and Chicaiza Mora (2018), Boulomytis et al (2017), Egg et al (2013), Ferreira (2014), França et al (2019), Mesa-Mingorance et al (2017), Mesa-Mingorance; Ariza-López (2020), , , Mozas-Calvache et al (2017), Orlandi et al (2019), Polidori et al (2014), Santos et al (2016), Scalco et al (2018), among others.…”

Section: Introductionmentioning

confidence: 99%

Cartographic Accuracy Standard (CAS) of the digital terrain model of the digital and continuous cartographic base of the state of Amapá: case study in the city of Macapá

Filho

Cornero²,

Pereira³

et al. 2022

Bol. Ciênc. Geod.

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The Cartographic Accuracy Standard (CAS) is a quality parameter used by the Brazilian standard to estimate the positional quality of cartographic products in their degree of precision, also including altimetry. The Digital and Continuous Cartographic Base of Amapá -BCDCA has a large amount of freely available spatial information, for the study of its territory within the state of Amapá. This project, a partnership between the Government of the State of Amapá and the Directorate of Geographical Services of the Brazilian Army (DSG), obtained a large amount of SAR data by interferometry. Among the resulting products, the Digital Terrain Model -DTM has a wide range of applications: watershed analysis, infrastructure program, diagnosis of environmental risks and so many others. Therefore, the present work aims to evaluate the altimetric data (DTM) provided by the BCDCA through 2172 orthometric points calculated from the Brazilian Network for Continuous Monitoring -RBMC measured in the field in the city of Macapá, capital of the State of Amapá. For the level curves, the results presented class A for the 1: 10 000 scale, at an equidistance of 5 m, showing that the DTM product is highly reliable for urban applications.

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Métodos de evaluación de la calidad posicional en Hispanoamérica: análisis de la situación

Cited by 4 publications

References 1 publication

Evaluación automática de la calidad de datos geoespaciales mediante servicios web

Evaluación automática de la calidad de datos geoespaciales mediante servicios web

Automatic evaluation of geospatial data quality using web services

Cartographic Accuracy Standard (CAS) of the digital terrain model of the digital and continuous cartographic base of the state of Amapá: case study in the city of Macapá

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