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Radar remote sensing of currents and...

University of Massachusetts Amherst., Electrical & Computer Engineering.

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Radar remote sensing of currents and waves in the nearshore zone.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Radar remote sensing of currents and waves in the nearshore zone./
作者:	Perkovic, Dragana.
面頁冊數:	124 p.
附註:	Adviser: Stephen J. Frasier.
Contained By:	Dissertation Abstracts International69-07B.
標題:	Engineering, Electronics and Electrical. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3322189
ISBN:	9780549730644

Radar remote sensing of currents and waves in the nearshore zone.
Perkovic, Dragana.

Radar remote sensing of currents and waves in the nearshore zone. - 124 p.

Adviser: Stephen J. Frasier.

Thesis (Ph.D.)--University of Massachusetts Amherst, 2008.

The good spatial and temporal agreement between the two remote measurement techniques which rely on very different mechanisms, suggests that both are reasonably approximating the nearshore processes.

ISBN: 9780549730644Subjects--Topical Terms:

626636
Engineering, Electronics and Electrical.

Radar remote sensing of currents and waves in the nearshore zone.
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100 1 $a Perkovic, Dragana. $3 1030487
245 1 0 $a Radar remote sensing of currents and waves in the nearshore zone.
300 $a 124 p.
500 $a Adviser: Stephen J. Frasier.
500 $a Source: Dissertation Abstracts International, Volume: 69-07, Section: B, page: 4342.
502 $a Thesis (Ph.D.)--University of Massachusetts Amherst, 2008.
520 $a The good spatial and temporal agreement between the two remote measurement techniques which rely on very different mechanisms, suggests that both are reasonably approximating the nearshore processes.
520 $a The relationship between microwave radar and optical video imaging of the nearshore region is studied. The remotely sensed data were used to estimate the longshore currents and the surf zone width.
520 $a Doppler radar relies on small scale surface roughness that scatters the incident electromagnetic radiation so that velocities are obtained from the Doppler shift of the backscattered radiation. Video relies on texture and contrast of scattered sunlight from the sea surface, and velocity estimates are determined using Particle Imaging Velocimetry (PIV). This study compares video PIV-derived and Doppler radar surface velocities over a 1 km alongshore by 0.5 km cross-shore area in the surf zone of a natural beach. The two surface velocity estimates are strongly correlated (R2 ≥ 0:79) over much of the surf zone. Estimates differ at the outer edge of the surf where strong breaking is prevalent, with radar estimated velocities as much as 50% below the video estimates. Both systems observe a strong eddy-like mean flow pattern over 200 m section of coastline with the mean alongshore current changing direction at about the mid surf zone. The radar and PIV velocities at particular locations in the surf zone track each other well over a 6 hour period, showing strong modulations in the mean alongshore flow occurring on 10-20 minute time intervals.
520 $a The offshore region in the absence of sufficiently strong wind is sometimes barely visible, while the surf zone always appears very bright in radar backscatter images due to persistent surface roughness produced by breaking waves. The backscatter and coherence radar images were used in conjunction with edge detection filters to estimate the surf zone width from radar data. The surf zone width from video data is calculated using the time-stacking techniques. The comparison of surf zone width over 6 hours showed the rms difference of 8.8 m close to the radar location while the radar had the tendency to overestimate the distance for most of the run. The correlation of two measurements was high at 0.89. At locations farther than 600 m away from the radar the surf zone width rms differences were higher, up to 24 m, while correlation remained high. The differences are attributed to the estimate of the shoreline in radar images due to different scattering properties of wet and dry sand.
590 $a School code: 0118.
650 4 $a Engineering, Electronics and Electrical. $3 626636
650 4 $a Physical Oceanography. $3 1019163
650 4 $a Remote Sensing. $3 1018559
690 $a 0415
690 $a 0544
690 $a 0799
710 2 $a University of Massachusetts Amherst. $b Electrical & Computer Engineering. $3 1030486
773 0 $t Dissertation Abstracts International $g 69-07B.
790 $a 0118
790 1 0 $a Bobba, Kumar $e committee member
790 1 0 $a Frasier, Stephen J., $e advisor
790 1 0 $a Lippmann, Thomas C. $e committee member
790 1 0 $a Siqueira, Paul R. $e committee member
790 1 0 $a Swift, Calvin T. $e committee member
791 $a Ph.D.
792 $a 2008
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3322189