Spectrally based bathymetric mapping of a dynamic, sand‐bedded channel: Niobrara River, Nebraska, USA
Links
- More information: Publisher Index Page (via DOI)
- Data Releases:
- USGS data release - Hyperspectral image data from the Niobrara River, Nebraska, November 2012 and August 2016
- USGS data release - Field spectra from the Niobrara River, Nebraska, August 15-18, 2016
- USGS data release - Field-based bathymetric surveys of the Niobrara River, Nebraska, November 2012 and August 2016
- Download citation as: RIS | Dublin Core
Abstract
Methods for spectrally based mapping of river bathymetry have been developed and tested in clear‐flowing, gravel‐bed channels, with limited application to turbid, sand‐bed rivers. This study used hyperspectral images and field surveys from the dynamic, sandy Niobrara River to evaluate three depth retrieval methods. The first regression‐based approach, optimal band ratio analysis (OBRA), paired in situ depth measurements with image pixel values to estimate depth. The second approach used ground‐based field spectra to calibrate an OBRA relationship. The third technique, image‐to‐depth quantile transformation (IDQT), estimated depth by linking the cumulative distribution function (CDF) of depth to the CDF of an image‐derived variable. OBRA yielded the lowest depth retrieval mean error (0.005 m) and highest observed versus predicted R2 (0.817). Although misalignment between field and image data did not compromise the performance of OBRA in this study, poor georeferencing could limit regression‐based approaches such as OBRA in dynamic, sand‐bedded rivers. Field spectroscopy‐based depth maps exhibited a mean error with a slight shallow bias (0.068 m) but provided reliable estimates for most of the study reach. IDQT had a strong deep bias but provided informative relative depth maps. Overprediction of depth by IDQT highlights the need for an unbiased sampling strategy to define the depth CDF. Although each of the techniques we tested demonstrated potential to provide accurate depth estimates in sand‐bed rivers, each method also was subject to certain constraints and limitations.
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | Spectrally based bathymetric mapping of a dynamic, sand‐bedded channel: Niobrara River, Nebraska, USA |
| Series title | River Research and Applications |
| DOI | 10.1002/rra.3270 |
| Volume | 34 |
| Issue | 5 |
| Year Published | 2018 |
| Language | English |
| Publisher | Wiley |
| Contributing office(s) | National Research Program - Central Branch |
| Description | 12 p. |
| First page | 430 |
| Last page | 441 |
| Country | United States |
| State | Nebraska |
| Other Geospatial | Niobrara River |
| Google Analytic Metrics | Metrics page |