Multiscale Integration of High-Resolution Spaceborne and Drone-Based Imagery for a High-Accuracy Digital Elevation Model Over Tristan da Cunha
peer reviewed Very high-resolution (VHR) optical Earth observation (EO) satellites as well as low-altitude and easy-to-use unmanned aerial systems (UAS/drones) provide ever-improving data sources for the generation of detailed 3-dimensional (3D) data using digital photogrammetric methods with dense...
Published in: | Frontiers in Earth Science |
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Language: | English |
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2020
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Online Access: | https://orbilu.uni.lu/handle/10993/44261 https://doi.org/10.3389/feart.2020.00319 |
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ftunivluxembourg:oai:orbilu.uni.lu:10993/44261 2024-04-21T08:11:37+00:00 Multiscale Integration of High-Resolution Spaceborne and Drone-Based Imagery for a High-Accuracy Digital Elevation Model Over Tristan da Cunha Backes, Dietmar Teferle, Felix Norman 2020-09 https://orbilu.uni.lu/handle/10993/44261 https://doi.org/10.3389/feart.2020.00319 en eng Frontiers Media S.A. https://www.frontiersin.org/articles/10.3389/feart.2020.00319/full urn:issn:2296-6463 https://orbilu.uni.lu/handle/10993/44261 info:hdl:10993/44261 doi:10.3389/feart.2020.00319 scopus-id:2-s2.0-85091417193 wos:000575063800001 restricted access http://purl.org/coar/access_right/c_16ec info:eu-repo/semantics/restrictedAccess Frontiers in Earth Science (2020-09) Digital Elevation Models (DEM) multiscale DEM integration Phtogrammetry Unmanned Aerial Systems (UAS) Very High Resolution (VHR) Satellite imagery Physical chemical mathematical & earth Sciences Earth sciences & physical geography Engineering computing & technology Physique chimie mathématiques & sciences de la terre Sciences de la terre & géographie physique Ingénierie informatique & technologie journal article http://purl.org/coar/resource_type/c_6501 info:eu-repo/semantics/article peer reviewed 2020 ftunivluxembourg https://doi.org/10.3389/feart.2020.00319 2024-03-27T14:12:15Z peer reviewed Very high-resolution (VHR) optical Earth observation (EO) satellites as well as low-altitude and easy-to-use unmanned aerial systems (UAS/drones) provide ever-improving data sources for the generation of detailed 3-dimensional (3D) data using digital photogrammetric methods with dense image matching. Today both data sources represent cost-effective alternatives to dedicated airborne sensors, especially for remote regions. The latest generation of EO satellites can collect VHR imagery up to 0.30 m ground sample distance (GSD) of even the most remote location from different viewing angles many times per year. Consequently, well-chosen scenes from growing image archives enable the generation of high-resolution digital elevation models (DEMs). Furthermore, low-cost and easy to use drones can be quickly deployed in remote regions to capture blocks of images of local areas. Dense point clouds derived from these methods provide an invaluable data source to fill the gap between globally available low-resolution DEMs and highly accurate terrestrial surveys. Here we investigate the use of archived VHR satellite imagery with approx. 0.5 m GSD as well as low-altitude drone-based imagery with average GSD of better than 0.03 m to generate high-quality DEMs using photogrammetric tools over Tristan da Cunha, a remote island in the South Atlantic Ocean which lies beyond the reach of current commercial manned airborne mapping platforms. This study explores the potentials and limitations to combine this heterogeneous data sources to generate improved DEMs in terms of accuracy and resolution. A cross-validation between low-altitude airborne and spaceborne data sets describes the fit between both optical data sets. No co-registration error, scale difference or distortions were detected, and a quantitative cloud-to-cloud comparison showed an average distance of 0.26 m between both point clouds. Both point clouds were merged applying a conventional georeferenced approach. The merged DEM preserves the rich detail from ... Article in Journal/Newspaper South Atlantic Ocean University of Luxembourg: ORBilu - Open Repository and Bibliography Frontiers in Earth Science 8 |
institution |
Open Polar |
collection |
University of Luxembourg: ORBilu - Open Repository and Bibliography |
op_collection_id |
ftunivluxembourg |
language |
English |
topic |
Digital Elevation Models (DEM) multiscale DEM integration Phtogrammetry Unmanned Aerial Systems (UAS) Very High Resolution (VHR) Satellite imagery Physical chemical mathematical & earth Sciences Earth sciences & physical geography Engineering computing & technology Physique chimie mathématiques & sciences de la terre Sciences de la terre & géographie physique Ingénierie informatique & technologie |
spellingShingle |
Digital Elevation Models (DEM) multiscale DEM integration Phtogrammetry Unmanned Aerial Systems (UAS) Very High Resolution (VHR) Satellite imagery Physical chemical mathematical & earth Sciences Earth sciences & physical geography Engineering computing & technology Physique chimie mathématiques & sciences de la terre Sciences de la terre & géographie physique Ingénierie informatique & technologie Backes, Dietmar Teferle, Felix Norman Multiscale Integration of High-Resolution Spaceborne and Drone-Based Imagery for a High-Accuracy Digital Elevation Model Over Tristan da Cunha |
topic_facet |
Digital Elevation Models (DEM) multiscale DEM integration Phtogrammetry Unmanned Aerial Systems (UAS) Very High Resolution (VHR) Satellite imagery Physical chemical mathematical & earth Sciences Earth sciences & physical geography Engineering computing & technology Physique chimie mathématiques & sciences de la terre Sciences de la terre & géographie physique Ingénierie informatique & technologie |
description |
peer reviewed Very high-resolution (VHR) optical Earth observation (EO) satellites as well as low-altitude and easy-to-use unmanned aerial systems (UAS/drones) provide ever-improving data sources for the generation of detailed 3-dimensional (3D) data using digital photogrammetric methods with dense image matching. Today both data sources represent cost-effective alternatives to dedicated airborne sensors, especially for remote regions. The latest generation of EO satellites can collect VHR imagery up to 0.30 m ground sample distance (GSD) of even the most remote location from different viewing angles many times per year. Consequently, well-chosen scenes from growing image archives enable the generation of high-resolution digital elevation models (DEMs). Furthermore, low-cost and easy to use drones can be quickly deployed in remote regions to capture blocks of images of local areas. Dense point clouds derived from these methods provide an invaluable data source to fill the gap between globally available low-resolution DEMs and highly accurate terrestrial surveys. Here we investigate the use of archived VHR satellite imagery with approx. 0.5 m GSD as well as low-altitude drone-based imagery with average GSD of better than 0.03 m to generate high-quality DEMs using photogrammetric tools over Tristan da Cunha, a remote island in the South Atlantic Ocean which lies beyond the reach of current commercial manned airborne mapping platforms. This study explores the potentials and limitations to combine this heterogeneous data sources to generate improved DEMs in terms of accuracy and resolution. A cross-validation between low-altitude airborne and spaceborne data sets describes the fit between both optical data sets. No co-registration error, scale difference or distortions were detected, and a quantitative cloud-to-cloud comparison showed an average distance of 0.26 m between both point clouds. Both point clouds were merged applying a conventional georeferenced approach. The merged DEM preserves the rich detail from ... |
format |
Article in Journal/Newspaper |
author |
Backes, Dietmar Teferle, Felix Norman |
author_facet |
Backes, Dietmar Teferle, Felix Norman |
author_sort |
Backes, Dietmar |
title |
Multiscale Integration of High-Resolution Spaceborne and Drone-Based Imagery for a High-Accuracy Digital Elevation Model Over Tristan da Cunha |
title_short |
Multiscale Integration of High-Resolution Spaceborne and Drone-Based Imagery for a High-Accuracy Digital Elevation Model Over Tristan da Cunha |
title_full |
Multiscale Integration of High-Resolution Spaceborne and Drone-Based Imagery for a High-Accuracy Digital Elevation Model Over Tristan da Cunha |
title_fullStr |
Multiscale Integration of High-Resolution Spaceborne and Drone-Based Imagery for a High-Accuracy Digital Elevation Model Over Tristan da Cunha |
title_full_unstemmed |
Multiscale Integration of High-Resolution Spaceborne and Drone-Based Imagery for a High-Accuracy Digital Elevation Model Over Tristan da Cunha |
title_sort |
multiscale integration of high-resolution spaceborne and drone-based imagery for a high-accuracy digital elevation model over tristan da cunha |
publisher |
Frontiers Media S.A. |
publishDate |
2020 |
url |
https://orbilu.uni.lu/handle/10993/44261 https://doi.org/10.3389/feart.2020.00319 |
genre |
South Atlantic Ocean |
genre_facet |
South Atlantic Ocean |
op_source |
Frontiers in Earth Science (2020-09) |
op_relation |
https://www.frontiersin.org/articles/10.3389/feart.2020.00319/full urn:issn:2296-6463 https://orbilu.uni.lu/handle/10993/44261 info:hdl:10993/44261 doi:10.3389/feart.2020.00319 scopus-id:2-s2.0-85091417193 wos:000575063800001 |
op_rights |
restricted access http://purl.org/coar/access_right/c_16ec info:eu-repo/semantics/restrictedAccess |
op_doi |
https://doi.org/10.3389/feart.2020.00319 |
container_title |
Frontiers in Earth Science |
container_volume |
8 |
_version_ |
1796953635055206400 |