Abstract

Problem statement: Sea surface current retrieving from Synthetic Apert ure Radar (SAR) is required standard methods due to the complexity of sea surface ocean imaging in SAR data. In this context, various analytical models have been develo ped which describe overall effects of sea surface roughness on the Doppler signal mechanisms. Nevertheless, such models are limited in the complexity of the sea surface current estimation that can be u sed. In fact, the resolution of the sea surface Dop pler velocity in azimuth direction is typically coarser as compared to the normalized radar cross section image. Approach: This study introduced a new method to retrieve sea surface current from RADARSAT-1 SAR Standard beam mode (S2) data. The method was based on the utilization of the Wavelength Diversity Ambiguity Resolving (WDAR) and Multi Look beat Frequency (MLBF) algorithms to remove Doppler centroid (f DC ) ambiguity. Results: The result showed that the proposed methods are able to correct Doppler centroid (f DC ) ambiguity and produced fine spatial sea surface current variations in S2 mode data. The current vel ocities were ranged between 0.18 and 0.78 m sec -1 with standard error of 0.11 m sec -1 . Conclusion: In conclusion, RADARSAT-1 SAR standard beam mode (S2) data can be utilized to retrieve real tim e sea surface current. Both WDAR and MLBF algorithms are able to provide accurately informati on on Doppler Centroid (fDC ) in which accurately real time sea surface current can be retrieved from SAR data.

Highlights

  • Synthetic Aperture Radar (SAR) has been recognized as powerful tool for environmental dynamic studies

  • In this study we address the question of Doppler centroid ambiguity impact on modeling sea surface current movement from RADARSAT-1 SAR standard beam mode (S2)

  • The procedures are used to calibrate the Acoustic Wave and Current (AWAC) are involved: a set up of one burst every half hour that is measured by AWAC, current velocity and direction are measured in bursts of 1024 samples at sampling rate 1 Hz which are made while the instrument is out of the water (Fig. 1)

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Summary

Introduction

Synthetic Aperture Radar (SAR) has been recognized as powerful tool for environmental dynamic studies. The main concept to model sea surface current from SAR images is based on Doppler shift[2]. In this context, Doppler shift of the radar signal backscattered from the sea surface is occurred by orbital motions of ocean wave and surface currents[4]. The distribution of the line-ofsight velocity of the scatterers is associated with the Doppler spectrum within the radar resolution cell[9]. Various analytical models have been developed which describe overall effects of sea surface roughness on the Doppler signal mechanisms, such approaches are limited in the complexity of the sea surface current estimation that can be used.

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