Abstract

Digital Elevation Models (DEMs) are widely utilized in a variety of fields, including, hydrology, geomorphology, and geoscience. The dataset is now openly and freely available to the public, with access permissions for data at 30- and 90-meter resolution having been expanded. The Copernicus DEM is a Digital Surface Model (DSM) that depicts the Earth's surface, which includes structures, infrastructure, and vegetation. This DEM is based on the WorldDEM DSM, which has been altered. The Copernicus DEM's vertical accuracy is assessed in this paper. The study area is in Iran, north of Tehran and west of Jam. The Copernicus DEM is compared to the Shuttle Radar Topography Mission (SRTM) in terms of vertical accuracy. The results of the experiments reveal that the Copernicus DEM is more accurate than the SRTM. In the Tehran and Jam examples, the root mean square error (RMSE) for Copernicus DEM (30 m) is 5.72 and 2.19 meters, respectively. Also, this value for SRTM is 6.10 and 3.95 respectively.

Details

Title
VERTICAL ACCURACY ASSESSMENT OF COPERNICUS DEM (CASE STUDY: TEHRAN AND JAM CITIES)
Author
Ghannadi, M A 1 ; Alebooye, S 2 ; Izadi, M 3 ; Ghanadi, A 4 

 Arak University of Technology, Department of Geoscience Engineering, Arak, Iran; Arak University of Technology, Department of Geoscience Engineering, Arak, Iran 
 University of Tehran, School of Surveying and Geospatial Engineering, College of Engineering, Tehran, Iran; University of Tehran, School of Surveying and Geospatial Engineering, College of Engineering, Tehran, Iran 
 Western Michigan University, Department of Geological and Environmental Sciences, Kalamazoo, USA; Western Michigan University, Department of Geological and Environmental Sciences, Kalamazoo, USA 
 Department of Civil Engineering, Faculty of Technology and Engineering, Central Tehran Branch, Islamic Azad University, Tehran, Iran; Department of Civil Engineering, Faculty of Technology and Engineering, Central Tehran Branch, Islamic Azad University, Tehran, Iran 
Pages
209-214
Publication year
2023
Publication date
2023
Publisher
Copernicus GmbH
ISSN
21949042
e-ISSN
21949050
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2765282427
Copyright
© 2023. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.