Comparing Photogrammetric and Spectral Depth Techniques in Extracting Bathymetric Data from a Gravel-Bed River
| dc.contributor.advisor | Fonstad, Mark | |
| dc.contributor.author | Shintani, Christina | |
| dc.date.accessioned | 2016-10-27T18:50:27Z | |
| dc.date.available | 2016-10-27T18:50:27Z | |
| dc.date.issued | 2016-10-27 | |
| dc.description.abstract | Recent advances in through-water photogrammetry and optical imagery indicate that accurate, continuous bathymetric mapping may be possible in shallow, clear streams. This research directly compares the ability of through-water photogrammetry and spectral depth approaches to extract water depth for monitoring fish habitat. Imagery and cross sections were collected on a 140 meter reach of the Salmon River, Oregon, using an unmanned aerial vehicle (UAV) and rtk-GPS. Structure-from-Motion (SfM) software produced a digital elevation model (DEM) (1.5 cm) and orthophoto (0.37 cm). The photogrammetric approach of applying a site-specific refractive index provided the most accurate (mean error 0.009 m) and precise (standard deviation of error 0.17 m) bathymetric data (R2 = 0.67) over the spectral depth and the 1.34 refractive index approaches. This research provides a quantitative comparison between and within bathymetric mapping methods, and suggests that a site-specific refractive index may be appropriate for similar gravel-bed, relatively shallow, clear streams. | en_US |
| dc.identifier.uri | https://hdl.handle.net/1794/20517 | |
| dc.language.iso | en_US | |
| dc.publisher | University of Oregon | |
| dc.rights | All Rights Reserved. | |
| dc.subject | Bathymetry | en_US |
| dc.subject | Fluvial geomorphology | en_US |
| dc.subject | Fluvial remote sensing | en_US |
| dc.subject | Photogrammetry | en_US |
| dc.subject | Structure from motion | en_US |
| dc.subject | UAV | en_US |
| dc.title | Comparing Photogrammetric and Spectral Depth Techniques in Extracting Bathymetric Data from a Gravel-Bed River | |
| dc.type | Electronic Thesis or Dissertation | |
| thesis.degree.discipline | Department of Geography | |
| thesis.degree.grantor | University of Oregon | |
| thesis.degree.level | masters | |
| thesis.degree.name | M.S. |
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