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Comparative accuracy of DEMS from UAV and SRTMGL1 over the coast of Kuala Terengganu

This paper presents a comparative accuracy of Digital Elevation Models (DEMs) derived from the Unmanned Aerial Vehicle (UAV) images and the Shuttle Radar Topography Mission Global 1 (SRTMGL1) included with the PALSAR Radiometrically Terrain Corrected (RTC) products. The accuracy of DEMs is computed...

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Main Authors: Ahmad, Siti Sarah Farhana, Ponachi, Nur Safizah, Idris, Nurul Hazrina, Lau, Alvin Meng Shin
Format: Conference or Workshop Item
Published: 2022
Subjects:
G70.39-70.6 Remote sensing
Online Access:http://eprints.utm.my/id/eprint/98447/
http://dx.doi.org/10.1109/IGARSS46834.2022.9884277
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spelling my.utm.984472023-01-08T02:39:44Z http://eprints.utm.my/id/eprint/98447/ Comparative accuracy of DEMS from UAV and SRTMGL1 over the coast of Kuala Terengganu Ahmad, Siti Sarah Farhana Ponachi, Nur Safizah Idris, Nurul Hazrina Lau, Alvin Meng Shin G70.39-70.6 Remote sensing This paper presents a comparative accuracy of Digital Elevation Models (DEMs) derived from the Unmanned Aerial Vehicle (UAV) images and the Shuttle Radar Topography Mission Global 1 (SRTMGL1) included with the PALSAR Radiometrically Terrain Corrected (RTC) products. The accuracy of DEMs is computed with respect to the Global Positioning System (GPS) field survey. Based on the assessments over 134 locations, the accuracy of UAV-derived DEM is more reliable than those of the SRTMGL1 included with the PALSAR RTC products with the root mean square error (RMSE) of 4.0 meters for SRTMGL1 and 0.5 for UAV-derived DEM. 2022 Conference or Workshop Item PeerReviewed Ahmad, Siti Sarah Farhana and Ponachi, Nur Safizah and Idris, Nurul Hazrina and Lau, Alvin Meng Shin (2022) Comparative accuracy of DEMS from UAV and SRTMGL1 over the coast of Kuala Terengganu. In: 2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022, 17 - 22 July 2022, Kuala Lumpur, Malaysia. http://dx.doi.org/10.1109/IGARSS46834.2022.9884277
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 G70.39-70.6 Remote sensing
spellingShingle G70.39-70.6 Remote sensing
Ahmad, Siti Sarah Farhana
Ponachi, Nur Safizah
Idris, Nurul Hazrina
Lau, Alvin Meng Shin
Comparative accuracy of DEMS from UAV and SRTMGL1 over the coast of Kuala Terengganu
description This paper presents a comparative accuracy of Digital Elevation Models (DEMs) derived from the Unmanned Aerial Vehicle (UAV) images and the Shuttle Radar Topography Mission Global 1 (SRTMGL1) included with the PALSAR Radiometrically Terrain Corrected (RTC) products. The accuracy of DEMs is computed with respect to the Global Positioning System (GPS) field survey. Based on the assessments over 134 locations, the accuracy of UAV-derived DEM is more reliable than those of the SRTMGL1 included with the PALSAR RTC products with the root mean square error (RMSE) of 4.0 meters for SRTMGL1 and 0.5 for UAV-derived DEM.
format Conference or Workshop Item
author Ahmad, Siti Sarah Farhana
Ponachi, Nur Safizah
Idris, Nurul Hazrina
Lau, Alvin Meng Shin
author_facet Ahmad, Siti Sarah Farhana
Ponachi, Nur Safizah
Idris, Nurul Hazrina
Lau, Alvin Meng Shin
author_sort Ahmad, Siti Sarah Farhana
title Comparative accuracy of DEMS from UAV and SRTMGL1 over the coast of Kuala Terengganu
title_short Comparative accuracy of DEMS from UAV and SRTMGL1 over the coast of Kuala Terengganu
title_full Comparative accuracy of DEMS from UAV and SRTMGL1 over the coast of Kuala Terengganu
title_fullStr Comparative accuracy of DEMS from UAV and SRTMGL1 over the coast of Kuala Terengganu
title_full_unstemmed Comparative accuracy of DEMS from UAV and SRTMGL1 over the coast of Kuala Terengganu
title_sort comparative accuracy of dems from uav and srtmgl1 over the coast of kuala terengganu
publishDate 2022
url http://eprints.utm.my/id/eprint/98447/
http://dx.doi.org/10.1109/IGARSS46834.2022.9884277
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score 13.187197

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