Evaluation of the Efficiency of SfM-Photogrammetry in Obtaining DEM from Google Earth Images | ||
| JES. Journal of Engineering Sciences | ||
| Article 3, Volume 51, Issue 5, September and October 2023, Pages 302-317 PDF (1.13 M) | ||
| Document Type: Research Paper | ||
| DOI: 10.21608/jesaun.2023.212726.1232 | ||
| Authors | ||
| Ahmed A Elashiry* 1; Omar Al Khalil2 | ||
| 1Faculty of Engineering, Beni-Suef University, Beni-Suef , Egypt | ||
| 2Topographic Engineering Department, Faculty of Civil Engineering, Tishreen University, Lattakia, Syria | ||
| Abstract | ||
| In this study, we seek to evaluate the efficiency of SfM Photogrammetry in obtaining Digital Elevation Model (DEM) from the free Google Earth browser, by simulating the aerial photography of the terrain displayed by this browser, calculating the resulting block of images, and obtaining DEM, and evaluate its accuracy to know the type of works in which this model can be used. Control data for image orientation are provided using Google Earth and free online services. The results showed that the huge number of dense point cloud generated by applying SfM to Google Earth images has contributed to obtaining a DEM with a vertical accuracy better than the vertical accuracy of the free digital elevation model SRTM1. The achieved vertical accuracy of the DEM produced by SfM was 3.58 m, whereas the vertical accuracy of the free SRTM1 was 4.65 m compared to a DEM derived 1/25000 scale topographic map. This type of DEM can be used in works that do not require high vertical accuracy such as hydrological works (watersheds) dealing with SRTM models. | ||
| Keywords | ||
| Digital Elevation Model (DEM); SRTM; Structure from Motion (SfM); Google Earth | ||
| References | ||
|
[1] FARR, T. G., et al.- The Shuttle Radar Topography Mission. Rev. Geophysics., Vol. 45, N. 2, 2007. (https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2005RG000183) (Last access 20/8/2022).
[2] JPL. - Shuttle Radar Topography Mission, URL: http://www2.jpl.nasa.gov/srtm/ (last access 20.08.2022).
[3] BURGMANN, R., ROSEN, P. A., FIELDING, E. J.- Synthetic aperture radar interferometry to measure Earth's surface topography and its deformation, Annual Review of Earth and Planetary Sciences 28, 2000, pp.169–209.
[4] Józsa, E.-An evaluation of EU-DEM and SRTM1 in comparison with ASTER GDEM, SRTM3 and reference DEMs – geomorphometric approaches. Boda, J.(szerk.), Az elmélet és a gyakorlat találkozása a térinformatikában: Térinformatikai Konferencia és Szakkiállítás VI, 2015, pp.117-125
[5] DRAPEAU, L.- Statistiques et Interpolations dans les SIG, Towards the use of Geographic Information Systems as a Decision Support Tool for the Management of Mediterranean Fisheries, Informations et Etudes – COPEMED, 2000.
[6] ALKHALIL, O., DAYOUB W.- Evaluation of the impact of digital terrain model's density on the accuracy of aerial photos orthorectification. Tishreen University Journal for Study and Scientific Studies - Engineering Sciences Series Vol. 39, No. 2, 2017, pp.240-257.
[7] Nex, F., & Remondino, F. (2014). "UAV for 3D mapping applications: a review". Applied Geomatics, 6(1), 1-15. https://doi.org/10.1007/s12518-013-0120-x
[8] Westoby, M. J., Brasington, J., Glasser, N. F., Hambrey, M. J., Reynolds, J. M., & Hassan, M. A. (2012). "‘Structure-from-Motion’ photogrammetry: A low-cost, effective tool for geoscience applications". Geomorphology, 179, 300-314. https://doi.org/10.1016/j.geomorph.2012.08.021
[9] Smith, M. W., & Bookhagen, B. (2018). "SfM photogrammetry in the geosciences: A practical guide". Journal of Geophysical Research: Earth Surface, 123(2), 242-272. https://doi.org/10.1002/2017JF004401
[10] Zhang, J., Li, Y., & Li, X. (2019). "A review of unmanned aerial vehicle-based remote sensing for landscape ecology applications". Landscape Ecology, 34(1), 1-20. https://doi.org/10.1007/s10980-018-0743-8.
[11] KAYADIBI, O.- Recent advances in satellite technologies using to generate the Digital Elevation Model (DEM). 4th International Conference on Recent Advances in Space Technologies. IEEE, 2009. pp.380-385.
[12] El-ASHMAWY, K. L.- Investigation of the accuracy of google earth elevation data. Artificial Satellites. 51, 2016, 3, pp.89-97.
[13] GESCH, D, et al.- The national elevation dataset. Photogrammetric engineering and remote sensing, 68, 2002, 1, pp.5-32
[14] PERAMUNA, P. D. P. O., et al.-Development of a Digital Elevation Model Integrating Different Datasets for an Area of Mahaweli Basin, Sri Lanka. In: 12th International Conference on Structural Engineering and Construction Management. Proceedings of the ICSECM 2021. Singapore: Springer Nature Singapore, 2022. pp.427-441.
[15] HIRANO, A., WELCH, R., LANG, H.- Mapping from ASTER stereo image data: DEM validation and accuracy assessment. ISPRS Journal of Photogrammetry and remote sensing, 57, 2003, 5-6, pp.356-370.
[16] Amatulli, G., & Shimabukuro, Y. E. (2015). "Elevation accuracy assessment of the SRTM-1 digital elevation model". Remote Sensing, 7(1), 118-139. https://doi.org/10.3390/rs70100118.
[17] Mancini F, Dubbini M, Gattelli M, Stecchi F, Fabbri S, Gabbianelli G. Using Unmanned Aerial Vehicles (UAV) for High-Resolution Reconstruction of Topography: The Structure from Motion Approach on Coastal Environments. Remote Sensing. 2013; 5(12):6880-6898. https://doi.org/10.3390/rs5126880
[18] REMONDINO, Fabio, et al. State of the art in high density image matching. The photogrammetric record, 2014, 29.146: 144-166.
[19] li, Xinchuan & Zhang, Youjing & Jin, Xiuliang & He, Qiaoning & Zhang, Xiuping. (2017). Comparison of digital elevation models and relevant derived attributes. Journal of Applied Remote Sensing. 11. 1. 10.1117/1.JRS.11.046027.
[20] BOLCH, Tobias; MENOUNOS, Brian; WHEATE, Roger. Landsat-based inventory of glaciers in western Canada, 1985–2005. Remote sensing of Environment, 2010, 114.1: 127-137.
[21] AGISOFT METASHAPE- Agisoft PhotoScan User Manual: Professional Edition, 2020, 160p. https://agisoft.com (Access 1/10/2022).
[22] KAPNIAS, D., MILENOV, P., KAY, S.- Guidelines for Best Practice and Quality Checking of Ortho Imagery. JRC European Commission, No 3.0, 2008. (https://publications.jrc.ec.europa.eu/repository/handle/JRC48904) (last access 20/8/2022).
[23] JOHNSTON, K., et al.- Using ArcGIS geostatistical analyst. Vol. 380.Redlands: Esri, 2001. | ||
|
Statistics Article View: 322 PDF Download: 592 |
||
