Positional accuracy evaluation of Google Earth in Addis Ababa, Ethiopia

• Autorzy: Mulu Yalemzewd Abere , Derib Sisay Demeku

Identyfikatory

DOI

10.2478/arsa-2019-0005

• Języki publikacji: EN

Abstrakty

EN

From the time when it was first launched in 2005, satellite data generated from Google Earth are freely available online. Hence, without being conducting concrete studies about the accuracy of satellite data from Google Earth, Google Earth are chiefly used for different field of studies in different sectors for different purposes in Ethiopia. In this regard, it was planned to conduct this study by establishing the main objective to evaluate the positional accuracy of Google Earth. Hence, in order to address the aforementioned objective, a brief methodology for collecting and analyzing data was performed. The positional accuracy of Google Earth for both horizontal and vertical cases was evaluated. The acquired horizontal RMSE of Google Earth was found fit to produce a class-1 map of having 1:20,000 scale as recommended by ASPRS-1990. Unlike for horizontal case, the computed RMSE for vertical positional accuracy of Google Earth was not found fit for preparing class-1 map. However, making correlations between field survey and GE can provide 95% fitness, and also, subtracting the acquired RMSE for the vertical case from the original Google Earth elevation data can provide a 90% fitness for preparing class-1 map as well.

Słowa kluczowe

EN

Google Earth; RMSE; field survey; DGPS; positional accuracy

• Wydawca: Centrum Badań Kosmicznych PAN ; De Gruyter
• Czasopismo: Artificial Satellites : Journal of Planetary Geodesy
• Rocznik: 2019
• Tom: Vol. 54, No. 2
• Strony: 43--56
• Opis fizyczny: Bibliogr. 10 poz., rys., tab.

Twórcy

autor

Mulu Yalemzewd Abere

• Addis Ababa Science and Technology University, College of Architecture and Civil Engineering, Department of Water Supply and Sanitary Engineering

autor

Derib Sisay Demeku

• Addis Ababa Science and Technology University, College of Architecture and Civil Engineering Department of Water Supply and Sanitary Engineering

Bibliografia

• Ahmed, E. Ragheb and Ayman, F. Ragab. (2015). Enhancement of Google Earth Positional Accuracy. International Journal of Engineering Research & Technology (IJERT), Vol. 4 No. 01, 627-630.
• American Society for Photogrammetry and Remote Sensing (ASPRS), (1990). Accuracy standards for large-scale maps. Bethesda (MD): ASPRS, USA.
• Farah A. and Algarni, D. (2014). Positional Accuracy Assessment of Google Earth in Riyadh. Artificial Satellites, Vol. 49, No. 2, 101-106, DOI: https://doi.org/10.2478/arsa-2014-0008.
• Kattan, Raad & Abdulrahman, Farsat & Hassan, Hussein (2016). Evaluating the accuracy of Google Earth DEM using GPS Coordinates, Case study: Duhok Governorate. Journal of University of Duhok (JDU). Vol 19, 1-16.
• Khalid L.A. El-Ashmawy, (2016). Investigation of the Accuracy of Google Earth Elevation Data. Artificial Satellites, Vol. 51, No. 3, 89-97. DOI: https://doi.org/10.1515/arsa-2016-0008.
• Mesele, B., Tarun, K.R., & K.V. Suryabhagavan, (2017). Web-Based GIS Approach for Tourism Development in Addis Ababa City, Ethiopia. Malaysian Journal of Remote Sensing & GIS Vol. 6, No. 1, 13-25.
• Mohammed, N. Z., Ghazi, A. and Mustafa, H., (2013). Positional Accuracy Testing of Google Earth. International Journal of Multidisciplinary Sciences and Engineering, Vol. 4, No. 6, 6-9.
• Morley, S. K., Brito, T. V., & Welling, D. T. (2018). Measures of model performance based on the log accuracy ratio. Space Weather, 16 (1), 69-88. https://doi.org/10.1002/2017SW001669.
• Potere D., (2008). Horizontal Positional Accuracy of Google Earth’s High-Resolution Imagery Archive, Sensors, Vol. 8, 7973-7981.
• Pulighe, Giuseppe, Valerio Baiocchi & Flavio Lupia (2016). Horizontal Accuracy Assessment of Very High-Resolution Google Earth Images in the City of Rome, Italy. International Journal of Digital Earth, Vol. 9, No. 4, 342-362, DOI: 10.1080/17538947.2015.1031716.

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).