Accuracy assessment of open-source global digital elevation models (GDEMs) with global navigation satellite system (GNSS) levelling

Shuttle Radar Topography Mission (SRTM), Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER ), Global Multi-resolution Terrain Elevation Data 2010 (GMTED2010), Advanced Land Observing Satellite World-3D (ALOSW3D), and TerraSAR-X Digital Elevation Measurement (TanDEM-X) are open-so...

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Bibliographic Details
Published in:IOP conference series. Earth and environmental science 2022-07, Vol.1064 (1), p.12018
Main Authors: Rahman, Mohd Faizuddin Abd, Din, Ami Hassan Md, Hamid, Amalina Izzati Abd, Alihan, Nor Surayatul Atikah, Yazid, Nornajihah Mohd, Ansar, Andi Mohd Hairy, Pa’suya, Muhammad Faiz, Yamen, Siti Nurshahira Mohd, Khalid, Nor Fadilla, Junid, Muhammad Arif Husaini
Format: Article
Language:English
Subjects:
Accuracy
ASTER (radiometer)
Coastal erosion
Correlation coefficient
Correlation coefficients
Digital Elevation Models
Elevation
Environment models
Environmental modeling
Flooding
Global navigation satellite system
Root-mean-square errors
Satellite observation
Spatial discrimination
Spatial resolution
Thermal emission
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Summary:Shuttle Radar Topography Mission (SRTM), Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER ), Global Multi-resolution Terrain Elevation Data 2010 (GMTED2010), Advanced Land Observing Satellite World-3D (ALOSW3D), and TerraSAR-X Digital Elevation Measurement (TanDEM-X) are open-source Digital Elevation Model (DEM) datasets for environmental modelling and studies. The spatial resolution and vertical accuracy of DEM data sources play a significant role, particularly in dealing with land inundation, periodic flooding, and coastal erosion. In this study, the comparison between orthometric height, H from Global Navigation Satellite System (GNSS) observation, and DEM is performed to evaluate the accuracy of each DEM in terms of their Root Mean Square Error (RMSE) and correlation coefficient, R 2 for monitoring the coastline. The result has indicated that TanDEM-X shows the smallest RMSE of 2.574 m compared to SRTM30, SRTM90, ASTER, GMTED10, and ALOSW3D with RMSE of 2.968 m, 3.006 m, 3.217 m, 2.975 m, and 2.876 m respectively. Furthermore, TanDEM-X illustrates the largest correlation coefficients, R 2 of 0.959 m, compared to SRTM30, SRTM90, ASTER, GMTED10, and ALOSW3D at 0.891 m, 0.899 m, 0.590 m, 0.888 m 0.913 m respectively. Hence, the result has indicated that TanDEM-X is the best option among all DEMs for any topographic applications.
ISSN:1755-1307
1755-1315
DOI:10.1088/1755-1315/1064/1/012018