ACCURACY ASSESSMENT OF COASTAL TOPOGRAPHY DERIVED FROM UAV IMAGES
To monitor coastal environments, Unmanned Aerial Vehicle (UAV) is a low-cost and easy to use solution to enable data acquisition with high temporal frequency and spatial resolution. Compared to Light Detection And Ranging (LiDAR) or Terrestrial Laser Scanning (TLS), this solution produces Digital...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2016-06-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B1/1127/2016/isprs-archives-XLI-B1-1127-2016.pdf |
| Summary: | To monitor coastal environments, Unmanned Aerial Vehicle (UAV) is a low-cost and easy to use solution to enable data acquisition
with high temporal frequency and spatial resolution. Compared to Light Detection And Ranging (LiDAR) or Terrestrial Laser
Scanning (TLS), this solution produces Digital Surface Model (DSM) with a similar accuracy. To evaluate the DSM accuracy on a
coastal environment, a campaign was carried out with a flying wing (eBee) combined with a digital camera. Using the Photoscan
software and the photogrammetry process (Structure From Motion algorithm), a DSM and an orthomosaic were produced. Compared
to GNSS surveys, the DSM accuracy is estimated. Two parameters are tested: the influence of the methodology (number and
distribution of Ground Control Points, GCPs) and the influence of spatial image resolution (4.6 cm vs 2 cm). The results show that
this solution is able to reproduce the topography of a coastal area with a high vertical accuracy (< 10 cm). The georeferencing of the
DSM require a homogeneous distribution and a large number of GCPs. The accuracy is correlated with the number of GCPs (use 19
GCPs instead of 10 allows to reduce the difference of 4 cm); the required accuracy should be dependant of the research problematic.
Last, in this particular environment, the presence of very small water surfaces on the sand bank does not allow to improve the
accuracy when the spatial resolution of images is decreased. |
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| ISSN: | 1682-1750 2194-9034 |