Next Article in Journal
Next Article in Special Issue
Previous Article in Journal
Previous Article in Special Issue
Remote Sens. 2009, 1(3), 266-277; doi:10.3390/rs1030266
Article

Deriving Ocean Surface Drift Using Multiple SAR Sensors

1,*  and 2
Received: 3 June 2009; in revised form: 9 July 2009 / Accepted: 9 July 2009 / Published: 13 July 2009
(This article belongs to the Special Issue Microwave Remote Sensing)
Download PDF [693 KB, uploaded 19 June 2014]
Abstract: Tracking and monitoring ocean features which have short coherent time periods from sequential satellite images requires that the images have both very high spatial resolutions and short temporal sampling intervals (i.e., repeated cycles). Satellite images from a single sensor in a polar-orbiting satellite usually cannot meet these requirements since high spatial resolution of the sensor may result in relatively long temporal sampling interval and vice versa, such as the case of Synthetic Aperture Radar (SAR). This paper presents a new multi-sensor approach to overcome the long temporal sampling interval associated with a single SAR sensor while taking advantage of high spatial resolution of SAR images for the application of ocean feature tracking.Currently, there are two SAR sensors on different satellites, the European Remote Sensing Satellite-2 (ERS-2) and the ENVIronment SATellite (ENVISAT), having acquisition time offset around 28 minutes with almost exactly the same path.That is, ERS-2 is following ENVISAT with a 28-minutes delay, which is a good time-scale for ocean mesoscale feature tracking.A pair of SAR images from ERS-2 and ENVISAT collected on April 27, 2005 has been chosen to track ocean surface features by using wavelet analysis. As demonstrated in the case studies, this technique is robust and capable to derive ocean surface drift near an oil slick and around a big eddy in the South China Sea (SCS).
Keywords: ocean surface drift; SAR; wavelet transform; feature tracking; ship wake ocean surface drift; SAR; wavelet transform; feature tracking; ship wake
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Export to BibTeX |
EndNote


MDPI and ACS Style

Liu, A.K.; Hsu, M.-K. Deriving Ocean Surface Drift Using Multiple SAR Sensors. Remote Sens. 2009, 1, 266-277.

AMA Style

Liu AK, Hsu M-K. Deriving Ocean Surface Drift Using Multiple SAR Sensors. Remote Sensing. 2009; 1(3):266-277.

Chicago/Turabian Style

Liu, Antony K.; Hsu, Ming-Kuang. 2009. "Deriving Ocean Surface Drift Using Multiple SAR Sensors." Remote Sens. 1, no. 3: 266-277.


Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert