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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my.utm.1036902023-11-22T00:34:52Z http://eprints.utm.my/103690/ Accuracy assessment of open-source global digital elevation models (GDEMs) with global navigation satellite system (GNSS) levelling Abd Rahman, Mohd. Faizuddin Md. Din, Ami Hassan Abd. Hamid, Amalina Izzati Atikah Alihan, Nor Surayatul Mohd. Yazid, Nornajihah Hairy Ansar, Andi Mohd. Pa'suya, Muhammad Faiz Mohd. Yamen, Siti Nurshahira Khalid, Fadilla Junid, Muhammad Arif Husaini G70.212-70.215 Geographic information system 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, R2 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, R2 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. 2022 Conference or Workshop Item PeerReviewed Abd Rahman, Mohd. Faizuddin and Md. Din, Ami Hassan and Abd. Hamid, Amalina Izzati and Atikah Alihan, Nor Surayatul and Mohd. Yazid, Nornajihah and Hairy Ansar, Andi Mohd. and Pa'suya, Muhammad Faiz and Mohd. Yamen, Siti Nurshahira and Khalid, Fadilla and Junid, Muhammad Arif Husaini (2022) Accuracy assessment of open-source global digital elevation models (GDEMs) with global navigation satellite system (GNSS) levelling. In: 11th IGRSM International Conference and Exhibition on Geospatial & Remote Sensing 2022, 7 March 2022 - 9 March 2022, Virtual, Online. http://dx.doi.org/10.1088/1755-1315/1064/1/012018 |
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G70.212-70.215 Geographic information system Abd Rahman, Mohd. Faizuddin Md. Din, Ami Hassan Abd. Hamid, Amalina Izzati Atikah Alihan, Nor Surayatul Mohd. Yazid, Nornajihah Hairy Ansar, Andi Mohd. Pa'suya, Muhammad Faiz Mohd. Yamen, Siti Nurshahira Khalid, Fadilla Junid, Muhammad Arif Husaini Accuracy assessment of open-source global digital elevation models (GDEMs) with global navigation satellite system (GNSS) levelling |
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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, R2 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, R2 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. |
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Abd Rahman, Mohd. Faizuddin Md. Din, Ami Hassan Abd. Hamid, Amalina Izzati Atikah Alihan, Nor Surayatul Mohd. Yazid, Nornajihah Hairy Ansar, Andi Mohd. Pa'suya, Muhammad Faiz Mohd. Yamen, Siti Nurshahira Khalid, Fadilla Junid, Muhammad Arif Husaini |
author_facet |
Abd Rahman, Mohd. Faizuddin Md. Din, Ami Hassan Abd. Hamid, Amalina Izzati Atikah Alihan, Nor Surayatul Mohd. Yazid, Nornajihah Hairy Ansar, Andi Mohd. Pa'suya, Muhammad Faiz Mohd. Yamen, Siti Nurshahira Khalid, Fadilla Junid, Muhammad Arif Husaini |
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Abd Rahman, Mohd. Faizuddin |
title |
Accuracy assessment of open-source global digital elevation models (GDEMs) with global navigation satellite system (GNSS) levelling |
title_short |
Accuracy assessment of open-source global digital elevation models (GDEMs) with global navigation satellite system (GNSS) levelling |
title_full |
Accuracy assessment of open-source global digital elevation models (GDEMs) with global navigation satellite system (GNSS) levelling |
title_fullStr |
Accuracy assessment of open-source global digital elevation models (GDEMs) with global navigation satellite system (GNSS) levelling |
title_full_unstemmed |
Accuracy assessment of open-source global digital elevation models (GDEMs) with global navigation satellite system (GNSS) levelling |
title_sort |
accuracy assessment of open-source global digital elevation models (gdems) with global navigation satellite system (gnss) levelling |
publishDate |
2022 |
url |
http://eprints.utm.my/103690/ http://dx.doi.org/10.1088/1755-1315/1064/1/012018 |
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1783876401390157824 |
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13.209306 |