Validity assessment of SAMOSA retracking for fully-focused SAR altimeter waveforms

被引:7
|
作者
Ehlers, Frithjof [1 ]
Schlembach, Florian [2 ]
Kleinherenbrink, Marcel [1 ]
Slobbe, Cornelis [1 ]
机构
[1] Delft Univ Technol TU Delft, Geosci & Remote Sensing, NL-2628 CN Delft, Netherlands
[2] Tech Univ Munich DGFI TUM, Deutsch Geodat Forsch Inst, Munich, Germany
关键词
Fully -focused SAR; Altimetry; SAMOSA; Retracking; Sentinel-3; Sentinel-6 Michael Freilich; SURFACE; LONG; MOTIONS; HEIGHT; IMPACT; WIND;
D O I
10.1016/j.asr.2022.11.034
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
We demonstrate in this work how we can take advantage of known unfocused SAR (UF-SAR) retracking methods (e.g. the physical SAMOSA model) for retracking of fully-focused SAR (FF-SAR) waveforms. Our insights are an important step towards consistent observations of sea surface height, significant wave height and backscatter coefficient (wind speed) with both UF-SAR and FF-SAR. This is of particular interest for SAR altimetry in the coastal zone, since coastal clutter may be filtered out more efficiently in the high-resolution FF-SAR waveform data, which has the potential to improve data quality. We implemented a multi-mission FF-SAR altimetry processor for Sentinel-3 (S3) and Sentinel-6 Michael Freilich (S6), using a back-projection algorithm, and analysed ocean waveform statistics compared to multilooked UF-SAR. We find for Sentinel-3 that the averaged power waveforms of UF-SAR and FF-SAR over ocean are virtually identical, while for Sentinel-6 the FF-SAR power waveforms better resemble the UF-SAR zero-Doppler beam. We can explain and model the similarities and differences in the data via theoretical considerations of the waveform integrals. These findings suggest to use the existing UF-SAR SAMOSA model for retracking S3 FF-SAR waveforms but the SAMOSA zero-Doppler beam model for S6 FF-SAR waveforms, instead. Testing the outlined approach over short track segments, we obtain range biases between UFSAR and FF-SAR lower than 2 mm and significant wave height biases lower than 5 cm. (c) 2022 COSPAR. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
引用
收藏
页码:1377 / 1396
页数:20
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