Accuracy assessment of the tandem-X DEM in the northwestern region of peninsular Malaysia using GPS-levelling

This study provided a unique accuracy assessment of the TanDEM-X DEM and two other DEMs; SRTM and AW3D30; using three sets of GPS data around northwestern Peninsular Malaysia. Firstly, the absolute vertical accuracy of all DEMs provided by Department Survey and Mapping Malaysia (DSMM) was examined b...

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Main Authors: Pa'suya, M. F., Bakar, A. F. A., Din, A. H. M., Aziz, M. A. C., Samad, M. A. A., Mohamad, M. I.
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Published: Akademi Sains Malaysia 2019
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Online Access:http://eprints.utm.my/id/eprint/90831/
https://www.akademisains.gov.my/asmsj/article/asm-sc-j-12-special-issue-2-2019-malaysia-in-space/
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spelling my.utm.908312021-05-31T13:20:51Z http://eprints.utm.my/id/eprint/90831/ Accuracy assessment of the tandem-X DEM in the northwestern region of peninsular Malaysia using GPS-levelling Pa'suya, M. F. Bakar, A. F. A. Din, A. H. M. Aziz, M. A. C. Samad, M. A. A. Mohamad, M. I. HT Communities. Classes. Races This study provided a unique accuracy assessment of the TanDEM-X DEM and two other DEMs; SRTM and AW3D30; using three sets of GPS data around northwestern Peninsular Malaysia. Firstly, the absolute vertical accuracy of all DEMs provided by Department Survey and Mapping Malaysia (DSMM) was examined by 7755 ground control points (GCPs), which were distributed across the northwestern region. The root-mean-square error (RMSE) of 3.980m and mean error of 2.464m indicated a good agreement of TanDEM-X DEM and GCPs, followed by AW3D30 (RMSE=5.206m) and SRTM (RMSE=6.684m). Secondly, the vertical accuracy assessment of TanDEM-X DEM and the others two DEMs was conducted by comparing the elevation of GPS data around four different land-covers; coastal, hills, foothills and agriculture to study the effects of different land-covers to DEMs accuracy. Again, at the coastal, foothills and agriculture region, TanDEM-X DEM showed the lowest RMSE of 0.66m, 3.8m and 0.41m, respectively. Surprisingly, the accuracy of TanDEM-X DEM at the hill region was lower than those of AW3D30 and SRTM DEM with RMSE of 55.51m. This study also managed to assess the best geoid model to convert the elevation of TanDEM-X DEM to the orthometric height. Three geoid models were tested using local mean sea level at 38 Benchmark around the Perlis region. The results showed that the Malaysia geoid model, MyGEOID, gave the lowest RMSE of 2.277m, followed by EGM2008 (RMSE=2.504m) and EGM96 (RMSE=2.675m). Akademi Sains Malaysia 2019 Article PeerReviewed Pa'suya, M. F. and Bakar, A. F. A. and Din, A. H. M. and Aziz, M. A. C. and Samad, M. A. A. and Mohamad, M. I. (2019) Accuracy assessment of the tandem-X DEM in the northwestern region of peninsular Malaysia using GPS-levelling. ASM Science Journal, 12 (2). pp. 100-106. ISSN 1823-6782 https://www.akademisains.gov.my/asmsj/article/asm-sc-j-12-special-issue-2-2019-malaysia-in-space/
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic HT Communities. Classes. Races
spellingShingle HT Communities. Classes. Races
Pa'suya, M. F.
Bakar, A. F. A.
Din, A. H. M.
Aziz, M. A. C.
Samad, M. A. A.
Mohamad, M. I.
Accuracy assessment of the tandem-X DEM in the northwestern region of peninsular Malaysia using GPS-levelling
description This study provided a unique accuracy assessment of the TanDEM-X DEM and two other DEMs; SRTM and AW3D30; using three sets of GPS data around northwestern Peninsular Malaysia. Firstly, the absolute vertical accuracy of all DEMs provided by Department Survey and Mapping Malaysia (DSMM) was examined by 7755 ground control points (GCPs), which were distributed across the northwestern region. The root-mean-square error (RMSE) of 3.980m and mean error of 2.464m indicated a good agreement of TanDEM-X DEM and GCPs, followed by AW3D30 (RMSE=5.206m) and SRTM (RMSE=6.684m). Secondly, the vertical accuracy assessment of TanDEM-X DEM and the others two DEMs was conducted by comparing the elevation of GPS data around four different land-covers; coastal, hills, foothills and agriculture to study the effects of different land-covers to DEMs accuracy. Again, at the coastal, foothills and agriculture region, TanDEM-X DEM showed the lowest RMSE of 0.66m, 3.8m and 0.41m, respectively. Surprisingly, the accuracy of TanDEM-X DEM at the hill region was lower than those of AW3D30 and SRTM DEM with RMSE of 55.51m. This study also managed to assess the best geoid model to convert the elevation of TanDEM-X DEM to the orthometric height. Three geoid models were tested using local mean sea level at 38 Benchmark around the Perlis region. The results showed that the Malaysia geoid model, MyGEOID, gave the lowest RMSE of 2.277m, followed by EGM2008 (RMSE=2.504m) and EGM96 (RMSE=2.675m).
format Article
author Pa'suya, M. F.
Bakar, A. F. A.
Din, A. H. M.
Aziz, M. A. C.
Samad, M. A. A.
Mohamad, M. I.
author_facet Pa'suya, M. F.
Bakar, A. F. A.
Din, A. H. M.
Aziz, M. A. C.
Samad, M. A. A.
Mohamad, M. I.
author_sort Pa'suya, M. F.
title Accuracy assessment of the tandem-X DEM in the northwestern region of peninsular Malaysia using GPS-levelling
title_short Accuracy assessment of the tandem-X DEM in the northwestern region of peninsular Malaysia using GPS-levelling
title_full Accuracy assessment of the tandem-X DEM in the northwestern region of peninsular Malaysia using GPS-levelling
title_fullStr Accuracy assessment of the tandem-X DEM in the northwestern region of peninsular Malaysia using GPS-levelling
title_full_unstemmed Accuracy assessment of the tandem-X DEM in the northwestern region of peninsular Malaysia using GPS-levelling
title_sort accuracy assessment of the tandem-x dem in the northwestern region of peninsular malaysia using gps-levelling
publisher Akademi Sains Malaysia
publishDate 2019
url http://eprints.utm.my/id/eprint/90831/
https://www.akademisains.gov.my/asmsj/article/asm-sc-j-12-special-issue-2-2019-malaysia-in-space/
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score 13.160551