2016
DOI: 10.1111/phor.12143
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Generation of Highly Accurate Digital Elevation Models with Unmanned Aerial Vehicles

Abstract: In order to investigate the possibilities for the generation of digital elevation models with a height uncertainty of 20 mm or less using unmanned aerial vehicles, a survey with a fixed-wing aircraft was carried out over a gravel quarry in G€ avle, Sweden. At flying heights of about 80 and 160 m, the resulting imagery had ground sample distances of 24 and 50 mm, respectively. The data was processed in two different software suitescomputer-vision-based PhotoScan and photogrammetric RapidStation/RapidTerrain. Th… Show more

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Cited by 43 publications
(27 citation statements)
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References 21 publications
(51 reference statements)
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“…()). A similar GCP configuration was also suggested by Reshetyuk and Mårtensson (). Such establishment of a GCP network is a trade‐off between fieldwork time and optimal accuracy.…”
Section: Methodsmentioning
confidence: 99%
“…()). A similar GCP configuration was also suggested by Reshetyuk and Mårtensson (). Such establishment of a GCP network is a trade‐off between fieldwork time and optimal accuracy.…”
Section: Methodsmentioning
confidence: 99%
“…SfM is a useful range viewing technique that refers to the process of estimating 3D geometries from 2D images. This methodology has become increasingly popular in a wide range of geologic and geomorphic investigations and standoff distances in the past half-decade (e.g., Westoby et al 2012;Niethammer et al 2010;Johnson et al 2014;Bemis et al 2014;Micheletti et al 2015;Nouwakpo et al 2015;Reshetyuk and Martensson 2016;Carrivick et al 2016;Piras et al 2017) and provides valuable data to link with other geological and geophysical techniques. The Agisoft Photoscan Ò software package is a powerful SfM tool that uses photogrammetric algorithms to calculate distances between points in overlapping photos to create high-resolution 3D models from 2D images.…”
Section: Structure-from-motionmentioning
confidence: 99%
“…SfM is the most widely used method nowadays for common UAV RGB photographs; it has been proved on several occasions that it enables the generation of 3D surface models with high accuracy. As an example, Reshetyuk and Mårtensson () demonstrate that it is possible to create a DEM with a height uncertainty of less than 20 mm for flat terrain from UAV images acquired from a flying height of up to 160 m using only five GCPs. It is also well documented that SfM does not work well for DEM generation with specific conditions such as reflective or very low‐textured surfaces such as water, sand and snow (Mancini et al., ; Gómez‐Gutiérrez et al., ).…”
Section: Discussionmentioning
confidence: 99%
“…Several studies confirm that natural surfaces can be very accurately reconstructed using UAV images and SfM methodology (Eltner and Schneider, ; Uysal et al., ; Reshetyuk and Mårtensson, ). On the other hand, there are some specific issues to be considered when applying SfM methodology that have also been reported in several articles.…”
Section: Introductionmentioning
confidence: 86%