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Airborne LiDAR Measurements and Model Simulations of Tides, Waves, and Surface Slope at the Mouth of the Columbia River.
- Source :
- IEEE Transactions on Geoscience & Remote Sensing; Dec2018, Vol. 56 Issue 12, p7038-7048, 11p
- Publication Year :
- 2018
-
Abstract
- Airborne light detection and ranging (LiDAR) measurements and model simulations are used to investigate the temporal and spatial variability of the water surface elevation at the mouth of the Columbia River. A series of 15-km transects repeated in 2–3-h flights over a two week period resolve processes at a range of scales that are important to the dynamics of the river mouth region, including tides, surface slope, surface gravity waves, and wave setup. Water surface elevations agree well with a nearby tide gauge with an average difference of 0.01 m and an root mean square error of 0.39 m. Significant wave heights derived from the LiDAR measurements agree well with in situ wave drifter measurements and are observed to react to both bathymetry and spatial/temporal variations in currents, increasing up to 228 % on large ebb tides. Surface slopes varied from $2.7\times 10^{-5}$ to $-2.6\times 10^{-5}$ over the course of a typical tide to as large as $6.3\times 10^{-5}$ to $-4.8\times 10^{-5}$ during a larger tide. The magnitude of the setup and set down due to wave height amplification during ebb tide was estimated to be $4\times 10^{-6}$. These observations demonstrate that many of the key dynamical variables at river mouths can be determined from airborne remote sensing measurements of water surface elevation and suggest that forthcoming altimetry products, such as those from the Surface Water Ocean Topography altimeter, may be able to provide new insight on monitoring in these complex regions. [ABSTRACT FROM AUTHOR]
- Subjects :
- OPTICAL radar
LIDAR
REMOTE sensing
PHOTODETECTORS
OCEAN surface topography
ALTIMETRY
Subjects
Details
- Language :
- English
- ISSN :
- 01962892
- Volume :
- 56
- Issue :
- 12
- Database :
- Complementary Index
- Journal :
- IEEE Transactions on Geoscience & Remote Sensing
- Publication Type :
- Academic Journal
- Accession number :
- 133667661
- Full Text :
- https://doi.org/10.1109/TGRS.2018.2847561