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Computing Ocean Surface Currents fro...

Qazi, Waqas A.

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Computing Ocean Surface Currents from Satellite Synthetic Aperture Radar Imagery.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Computing Ocean Surface Currents from Satellite Synthetic Aperture Radar Imagery./
作者:	Qazi, Waqas A.
面頁冊數:	150 p.
附註:	Source: Dissertation Abstracts International, Volume: 74-12(E), Section: B.
Contained By:	Dissertation Abstracts International74-12B(E).
標題:	Aerospace engineering. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3592363
ISBN:	9781303333781

Computing Ocean Surface Currents from Satellite Synthetic Aperture Radar Imagery.
Qazi, Waqas A.

Computing Ocean Surface Currents from Satellite Synthetic Aperture Radar Imagery. - 150 p.

Source: Dissertation Abstracts International, Volume: 74-12(E), Section: B.

Thesis (Ph.D.)--University of Colorado at Boulder, 2013.

This item is not available from ProQuest Dissertations & Theses.

Ocean surface currents play an important role in ocean-atmosphere interactions and global ocean circulation, and are also significant for fishing, ocean navigation, and search & rescue. Existing in-situ and remote sensing techniques for measuring ocean surface currents are limited by spatial and temporal data coverage, and thermal IR feature tracking methods are limited by clouds and weak thermal gradients. High-resolution spaceborne Synthetic Aperture Radar (SAR) offers repeatable cloud-penetrating measurements of the ocean surface. This research explores methods for ocean surface current measurement through satellite-based SAR.

ISBN: 9781303333781Subjects--Topical Terms:

1002622
Aerospace engineering.

Computing Ocean Surface Currents from Satellite Synthetic Aperture Radar Imagery.
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245 1 0 $a Computing Ocean Surface Currents from Satellite Synthetic Aperture Radar Imagery.
300 $a 150 p.
500 $a Source: Dissertation Abstracts International, Volume: 74-12(E), Section: B.
500 $a Includes supplementary digital materials.
500 $a Adviser: William Emery.
502 $a Thesis (Ph.D.)--University of Colorado at Boulder, 2013.
506 $a This item is not available from ProQuest Dissertations & Theses.
506 $a This item must not be sold to any third party vendors.
520 $a Ocean surface currents play an important role in ocean-atmosphere interactions and global ocean circulation, and are also significant for fishing, ocean navigation, and search & rescue. Existing in-situ and remote sensing techniques for measuring ocean surface currents are limited by spatial and temporal data coverage, and thermal IR feature tracking methods are limited by clouds and weak thermal gradients. High-resolution spaceborne Synthetic Aperture Radar (SAR) offers repeatable cloud-penetrating measurements of the ocean surface. This research explores methods for ocean surface current measurement through satellite-based SAR.
520 $a The major part of this research is concerned with the development and application of a semi-automated algorithm to generate ocean surface currents at &sim;1.9 km resolution from sequential spaceborne C-band SAR intensity images using the Maximum Cross-Correlation(MCC) method. The primary geographical area of study is the coastal California Current System (CCS), and nearly two years (2008-2009) of 30-min lag data from the Envisat ASAR and ERS-2 AMI SAR sensors is analyzed. The velocity wavenumber spectrum of the derived MCC SAR currents agrees with the k-2 power law as predicted by submesoscale resolution models, and also shows seasonal mesoscale variability. The derived MCC SAR currents are validated against High frequency (HF) radar currents, and the two show some agreement in vector direction, with MCC SAR vectors oriented slightly anti-clockwise relative to HF radar vectors. The unimodal mean-symmetric residual histograms indicate that errors between the two datasets are random, except for a mean positive bias of ≈ 11 cm/s in MCC SAR currents relative to HF radar currents. This magnitude difference occurs primarily in the along-shore component ( ≈ 6 cm/s) and is negligible in the cross-shore component. Doppler Centroid Cross-Track (XT) radial currents from Envisat Wide Swath Mode (WSM) scenes are compared with HF radar radial currents, and are seen to have much larger extreme values, which is attributed to the Doppler wind correction process. Ignoring the extreme values, errors between the two datasets appear to be random, with a near-zero mean bias, and are also linked with the Doppler radial estimation errors attributed to model wind corrections. Comparison of Doppler radials with MCC SAR radials for two ≈ 12-hour lag cases also shows promising results. Finally, experiments conducted with TerraSAR-X experimental Dual Receive Aperture (DRA) mode Along-Track Interferometry (ATI) datasets suggest possible solutions for the absolute phase calibration problem using interferometric phase over ocean only.
590 $a School code: 0051.
650 4 $a Aerospace engineering. $3 1002622
650 4 $a Remote sensing. $3 535394
650 4 $a Physical oceanography. $3 3168433
690 $a 0538
690 $a 0799
690 $a 0415
710 2 $a University of Colorado at Boulder. $b Aerospace Engineering. $3 1030473
773 0 $t Dissertation Abstracts International $g 74-12B(E).
790 $a 0051
791 $a Ph.D.
792 $a 2013
793 $a English
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