Ocean Wind Retrieval Models for RADARSAT Constellation Mission Compact Polarimetry SAR

We propose two new ocean wind retrieval models for right circular-vertical (RV) and right circular-horizontal (RH) polarizations respectively from the compact-polarimetry (CP) mode of the RADARSAT Constellation Mission (RCM), which is scheduled to be launched in 2019. For compact RV-polarization (right circular transmit and vertical receive), we build the wind retrieval model (denoted CoVe-Pol model) by employing the geophysical model function (GMF) framework and a sensitivity analysis. For compact RH polarization (right circular transmit and horizontal receive), we build the wind retrieval model (denoted the CoHo-Pol model) by using a quadratic function to describe the relationship between wind speed and RH-polarized normalized radar cross-sections (NRCSs) along with radar incidence angles. The parameters of the two retrieval models are derived from a database including wind vectors measured by in situ National Data Buoy Center (NDBC) buoys and simulated RVand RH-polarized NRCSs and incidence angles. The RVand RH-polarized NRCSs are generated by a RCM simulator using C-band RADARSAT-2 quad-polarized synthetic aperture radar (SAR) images. Our results show that the two new RCM CP models, CoVe-Pol and CoHo-POL, can provide efficient methodologies for wind retrieval.

[1]  D. Hamby A review of techniques for parameter sensitivity analysis of environmental models , 1994, Environmental monitoring and assessment.

[2]  Ad Stoffelen,et al.  The CMOD7 Geophysical Model Function for ASCAT and ERS Wind Retrievals , 2017, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[3]  David G. Barber,et al.  Ocean Surface Wind Speed Retrieval From C-Band SAR Images Without Wind Direction Input , 2014, IEEE Transactions on Geoscience and Remote Sensing.

[4]  William Perrie,et al.  A Hurricane Wind Speed Retrieval Model for C-Band RADARSAT-2 Cross-Polarization ScanSAR Images , 2017, IEEE Transactions on Geoscience and Remote Sensing.

[5]  François Charbonneau,et al.  Ocean Wind Study Using Simulated RCM Compact-Polarimetry SAR , 2015 .

[6]  E. F. Bradley,et al.  Bulk Parameterization of Air–Sea Fluxes: Updates and Verification for the COARE Algorithm , 2003 .

[7]  R. Keith Raney,et al.  Hybrid-Polarity SAR Architecture , 2006, 2006 IEEE International Symposium on Geoscience and Remote Sensing.

[8]  Biao Zhang,et al.  Semi-empirical ocean surface model for compact-polarimetry mode SAR of RADARSAT Constellation Mission , 2018, Remote Sensing of Environment.

[9]  William Perrie,et al.  A C-band Geophysical Model Function for Determining Coastal Wind Speed Using Synthetic Aperture Radar , 2018, 2018 Progress in Electromagnetics Research Symposium (PIERS-Toyama).

[10]  Stuart D. Smith Coefficients for sea surface wind stress, heat flux, and wind profiles as a function of wind speed and temperature , 1988 .

[11]  P. Vachon,et al.  Wind Retrieval from RADARSAT SAR Images: Selection of a Suitable C-Band HH Polarization Wind Retrieval Model , 2000 .

[12]  Jean-Claude Souyris,et al.  Compact polarimetry based on symmetry properties of geophysical media: the /spl pi//4 mode , 2005, IEEE Transactions on Geoscience and Remote Sensing.

[13]  Michael J. Collins,et al.  Wind speed estimation using C-band compact polarimetric SAR for wide swath imaging modes , 2016 .

[14]  Heather McNairn,et al.  Compact polarimetry overview and applications assessment , 2010 .

[15]  H. Hersbach Comparison of C-Band Scatterometer CMOD5.N Equivalent Neutral Winds with ECMWF , 2010 .

[16]  H. Hersbach,et al.  An improved C-band scatterometer ocean geophysical model function: CMOD5 , 2007 .

[17]  Hao Chen,et al.  Compact Decomposition Theory , 2012, IEEE Geoscience and Remote Sensing Letters.

[18]  Biao Zhang,et al.  Cross-Polarized Synthetic Aperture Radar: A New Potential Measurement Technique for Hurricanes , 2012 .

[19]  Xavier Neyt,et al.  Assessment of the corrected CMOD6 GMF using scatterometer data , 2015, SPIE Remote Sensing.

[20]  Peter A. Vanrolleghem,et al.  Sensitivity analysis for hydrology and pesticide supply towards the river in SWAT , 2005 .