Reference : Merging DEMs from VHR Optical Imagery with Drone Data - A High-resolution DEM for Tri...

	Document type :	Scientific congresses, symposiums and conference proceedings : Unpublished conference
	Discipline(s) :	Physical, chemical, mathematical & earth Sciences : Earth sciences & physical geography Engineering, computing & technology : Geological, petroleum & mining engineering Engineering, computing & technology : Multidisciplinary, general & others
	Focus Areas :	Computational Sciences
	To cite this reference:	http://hdl.handle.net/10993/39334

Title :	Merging DEMs from VHR Optical Imagery with Drone Data - A High-resolution DEM for Tristan da Cunha
Language :	English
Author, co-author :	Backes, Dietmar [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
	Teferle, Felix Norman [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
Publication date :	12-Dec-2018
Number of pages :	27
Peer reviewed :	No
On invitation :	Yes
Audience :	International
Event name :	GRSG 2018 Annual Conference
Event date :	09-12-2019 to 12-12-2018
Event organizer :	GRSG
Event place (city) :	London
Event country :	Great Britain
Keywords :	[en] Digital Terrain Modelling ; Drone Photogrammetry ; Very High-resolution (VHR) Satellite Imagery
Abstract :	[en] The extraction of high-resolution, Digital Elevation Models (DEM) from very high-resolution (VHR) optical satellite imagery, as well as low altitude drone images by Photogrammetric methods or modern Structure from Motion (SFM) engines, has rapidly matured. Today both data sources are representing cost-effective alternatives to dedicated airborne sensors, especially for remote and difficult to access regions. Ever-growing archives of high-resolution Satellite imagery, are providing a rich data source which covers even the most remote locations with high-resolution imagery up to 0.30m ground sample distance multiple times enabling the generation of high-resolution DEMS. Furthermore, low-cost, low weight and easy to use drones can easily be deployed in remote regions and capture limited areas with very high resolution. Dense point clouds derived from this method provide an invaluable data source to fill the gap between globally available low-resolution DEMs and highly accurate terrestrial surveys. The presented case study investigates the use of VHR archive imagery as well as low-cost drone imagery to generate high-quality DEMs using photogrammetric tools over a remote region which is difficult to access by manned airborne platforms. We highlight the potential and limitations of both data sources to provide high resolution, accurate elevation data.
Funders :	DigitalGlobe Foundation, Hexagon Geospatial, PCI Geomatics
Target :	Researchers ; Professionals ; Students ; General public ; Others
Permalink :	http://hdl.handle.net/10993/39334
Other URL :	https://www.grsg.org.uk/2018-grsg-annual-conference-presentations/

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