Map Production from Google Earth Snapshot

  • Aly Mohamed Elnaggar Faculty of Engineering Alexandria university
  • Mohamed Hosny
  • Hosam Elhabrouk
  • Sameh Abdel wakeel
Keywords: Google Earth, Root Mean Square Errors, Planimetric Accuracy

Abstract

The ubiquitous Google Earth service is arguably the most popular and the most commonly used internet service that offers a free access to the global collection of satellite and aerial imagery. It provides an easy access to cost free image data collected from several sources which aims to produce maps benefit the community. This contemporary high-resolution archive of the Earth’s landmass represents a rapidly expanding, significant and largely unexploited resource for scientific inquiry. Therefore, many individuals and researchers still use Google Earth as a reliable and accurate data source for mapping applications. This issue raises questions about the expected positional accuracy of Google Earth and the impact of height of the scene on the planimetric accuracy, which is the main interest of the current research. In this context, the positional accuracy assessment was not carried out directly on the Google Earth imagery, but on a selected scene for a certain study area that resulted in a corresponding non georeferenced image. Then, it is georeferenced with the aid of some control points in order to be compared with a base ground-surveying map, on which the accuracy assessment will depend on the coordinates’ discrepancies of some selected well-defined check points. The results have a significant accuracy to derive planimetric maps of different scale.

Downloads

Download data is not yet available.

References

[1] Flanagin, A, J; Metzger, M, J., (2008). The credibility of volunteered geographic information. GeoJournal, 72, 137-148.
[2] M.F.Goodchild ; H.Guo;A.Annoni ; L.Blan ; K.Debie ; F.Campbell ; M.CRAGLIA ; M.Ehlersg ; J.Van Genderen ; D.Jackson ; A.J. Lewis ; M.Pesaresi ; G.Remetey –FÜLÖPP ; R. Simpson ; A.Skidmore ; C.Wang ; P. Woodgate ,(2012). Next generation Digital Earth. Proceedings of the National Academy of Sciences of the United States of America, 109 (28), 11088–11094.
[3] American Society for Photogrammetry and Remote Sensing (ASPRS) (2013), ASPRS Accuracy Standards for Digital Geospatial Data (DRAFT), PE&RS, December 2013, pp 1073-1085.
[4] Potere, D., (2008). Horizontal positional accuracy of Google Earth’s high-resolution imagery archive. Sensors, 8, 7973-7981.
[5] YU, L.; Gong, P., (2012). Google Earth as a virtual globe tool for Earth science applications at the global scale: progress and perspectives. International Journal of Remote Sensing, 33(12), 3966-3986.
[6] Ragheb.E.A. Ragab.F.A, (2015) “Enhancement of Google Earth Positional Accuracy” International Journal of Engineering Research & Technology (IJERT) ISSN: 2278-0181. IJERTV4IS010732
[7] Elgohary, .Z. (2011).Assessment Of Horizontal Positional Accuracy of Google Earth Imagery. Journal of Babylon University/Pure and Applied Sciences/ No.(2)/ Vol.(19): 2011 http://repository.uobabylon.edu.iq/journal.aspx?dpp=175
[8] Becek, K.; Ibrahim, K. (2011). On the positional accuracy of the Googleearth® imagery. TS05I - Spatial Information Processing Ipaper no. 4947. In: FIG Working Week 2011, Marrakech, Morocco, 18-22 May 2011.
[9] Mohammed, N; Ghazi, A and Mustafa, H (2013) “Positional accuracy testing of Google Earth”, International Journal of Multidisciplinary Sciences and Engineering, Vol. 4, No. 6.
Published
2019-02-26
How to Cite
Elnaggar, A. M., Hosny, M., Elhabrouk, H., & Abdel wakeel, S. (2019). Map Production from Google Earth Snapshot. IJRDO - Journal of Applied Science (ISSN: 2455-6653), 5(2), 81-87. Retrieved from https://ijrdo.org/index.php/as/article/view/2697