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Ocean Surface Wind Speed Retrieval Using Simulated RADARSAT Constellation Mission Compact Polarimetry SAR Data

1
Zhejiang Climate Centre, Hangzhou 310017, China
2
Fisheries & Oceans Canada, Bedford Institute of Oceanography, Dartmouth, NS B2Y 4A2, Canada
3
School of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China
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School of Remote Sensing and Geomatics Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China
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Earth Applied Science & Development Section Observation & Geomatics, Meteorological Service of Canada, Environment and Climate Change Canada, Ottawa, ON K1A 0H3, Canada
6
State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2019, 11(16), 1876; https://doi.org/10.3390/rs11161876
Received: 5 July 2019 / Revised: 31 July 2019 / Accepted: 7 August 2019 / Published: 10 August 2019
(This article belongs to the Special Issue Synergy of Remote Sensing and Modelling Techniques for Ocean Studies)
We investigated the use of C-band RADARSAT Constellation Mission (RCM) synthetic aperture radar (SAR) for retrieval of ocean surface wind speeds by using four new channels (right circular transmit, vertical receive (RV); right circular transmit, horizontal receive (RH); right circular transmit, left circular transmit (RL); and right circular transmit, right circular receive (RR)) in compact polarimetry (CP) mode. Using 256 buoy measurements collocated with RADARSAT-2 fine beam quad-polarized scenes, RCM CP data was simulated using a “CP simulator”. Provided that the relative wind direction is known, our results demonstrate that wind speed can be retrieved from RV, RH and RL polarization channels using existing C-band model (CMOD) geophysical model function (GMF) and polarization ratio (PR) models. Simulated RR-polarized radar returns have a strong linear relationship with speed and are less sensitive to relative wind direction and incidence angle. Therefore, a model is proposed for the RR-polarized synthetic aperture radar (SAR) data. Our results show that the proposed model can provide an efficient methodology for wind speed retrieval. View Full-Text
Keywords: wind speed; synthetic aperture radar (SAR); quad-polarized SAR; compact polarimetry wind speed; synthetic aperture radar (SAR); quad-polarized SAR; compact polarimetry
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MDPI and ACS Style

Fang, H.; Perrie, W.; Zhang, G.; Xie, T.; Khurshid, S.; Warner, K.; Yang, J.; He, Y. Ocean Surface Wind Speed Retrieval Using Simulated RADARSAT Constellation Mission Compact Polarimetry SAR Data. Remote Sens. 2019, 11, 1876.

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