Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1)
Hydro-morphological mapping of river reaches using videos captured with UAS
Julkaisun tekijät: Eltner Anette, Bertalan Lászlo, Grundmann Jens, Perks Matthew Thomas, Lotsari Eliisa
Kustantaja: WILEY
Julkaisuvuosi: 2021
Journal: Earth Surface Processes and Landforms
Lehden akronyymi: EARTH SURF PROC LAND
Sivujen määrä: 15
ISSN: 0197-9337
eISSN: 1096-9837
DOI: http://dx.doi.org/10.1002/esp.5205
Verkko-osoite: https://onlinelibrary.wiley.com/doi/10.1002/esp.5205
Rinnakkaistallenteen osoite: https://research.utu.fi/converis/portal/detail/Publication/67452967
Unoccupied aerial systems (UASs) are frequently used in the field of fluvial geomorphology due to their capabilities for observing the continuum rather than single sample points. We introduce a (semi-)automatic workflow to measure river bathymetry and surface flow velocities of entire river reaches at high resolution, based on UAS videos and imagery. Video frame filtering improved the visibility of the riverbed using frame co-registration and averaging with a median filter. Subsequently, these video frames were incorporated with still images acquired by UASs into a structure from motion (SfM) photogrammetry approach to reconstruct the camera poses (i.e. positions and orientations) and the 3D point cloud of the river reach. The heights of submerged points were further processed using small-angle and multi-view refraction correction approaches to account for the refraction impact. The flow velocity pattern of the river surface was measured using the estimated camera pose from SfM, the reconstructed bathymetric point cloud and the co-registered video frames in combination with image velocimetry analysis. Finally, discharge was estimated at selected cross-sections, considering the average surface velocity and the bathymetry. Three case studies were considered to assess the performance of the workflow under different environmental conditions. The studied river reaches spanned a length between 0.15 and 1 km. The bathymetry was reconstructed with average deviations to RTK-GNSS point measurements as low as 1 cm with a standard deviation of 6 cm. If frames were processed with the median filter, the number of underwater points increased by up to 21%. The image-based surface velocities revealed an average deviation to reference measurements between 0.05 and 0.08 m s(-1). The image-based discharge was estimated with deviations to ADCP references of up to 5%, however this was sensitive to errors in water-level retrieval. The output of our workflow can provide a valuable input to hydro-morphological models.
Ladattava julkaisu This is an electronic reprint of the original article. |