Evaluation of the planimetric accuracy of Google Earth for cartographic base production

Currently, we are experiencing an expansion of new mapping and geospatial information sharing technologies. One of these technologies  is Google Earth, through which users have access to cartographic information. However, its use is usually done without the knowledge about the positional qu...

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Detalles Bibliográficos
Autores: Menezes, Raiane Rintielle Vaz, Lisboa, Matheus Henrique Maia, dos Santos, Afonso de Paula, Dias, Jairo dos Santos
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2019
País:Brasil
Institución:Universidade Federal de Uberlândia (UFU)
Repositorio:Revista brasileira de cartografia - RBC (Online)
Idioma:portugués
OAI Identifier:oai:ojs.www.seer.ufu.br:article/46327
Acceso en línea:https://seer.ufu.br/index.php/revistabrasileiracartografia/article/view/46327
Access Level:acceso abierto
Palabra clave:Google Earth
Acurácia Posicional
Controle de Qualidade Cartográfica
Cartographic Base
Cartographic Quality Control
Descripción
Sumario:Currently, we are experiencing an expansion of new mapping and geospatial information sharing technologies. One of these technologies  is Google Earth, through which users have access to cartographic information. However, its use is usually done without the knowledge about the positional quality of the images. In this sense, the present study aims to evaluate the quality of the Google Earth images mosaic for production of digital cartographic base. The evaluation was performed based on the positional accuracy, from statistical tests were used, by following the methodology proposed by Santos et al. (2016), which suggests the analysis of the spatial distribution pattern, outliers detection, normality analysis and trend analysis of the test data, respecting the criteria established by Decree Nº 89.817/1984, and allied to ET-ADGV (DSG, 2011) and ET-CQDG (DSG, 2016). Although the images from Google Earth show displacements regardind the reference positions, after the correction of the trends, the results presented a classification compatible with Class A (PEC -PCD) on 1 / 25.000 scale and Class B (PEC-PCD) to 1 / 10.000 scale.