Abstract

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.

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