Development of Wind Speed Retrieval from Cross-Polarization Chinese Gaofen-3 Synthetic Aperture Radar in Typhoons

The purpose of our work is to determine the feasibility and effectiveness of retrieving sea surface wind speeds from C-band cross-polarization (herein vertical-horizontal, VH) Chinese Gaofen-3 (GF-3) SAR images in typhoons. In this study, we have collected three GF-3 SAR images acquired in Global Observation (GLO) and Wide ScanSAR (WSC) mode during the summer of 2017 from the China Sea, which includes the typhoons Noru, Doksuri and Talim. These images were collocated with wind simulations at 0.12° grids from a numeric model, called the Regional Assimilation and Prediction System-Typhoon model (GRAPES-TYM). Recent research shows that GRAPES-TYM has a good performance for typhoon simulation in the China Sea. Based on the dataset, the dependence of wind speed and of radar incidence angle on normalized radar cross (NRCS) of VH-polarization GF-3 SAR have been investigated, after which an empirical algorithm for wind speed retrieval from VH-polarization GF-3 SAR was tuned. An additional four VH-polarization GF-3 SAR images in three typhoons, Noru, Hato and Talim, were investigated in order to validate the proposed algorithm. SAR-derived winds were compared with measurements from Windsat winds at 0.25° grids with wind speeds up to 40 m/s, showing a 5.5 m/s root mean square error (RMSE) of wind speed and an improved RMSE of 5.1 m/s wind speed was achieved compared with the retrieval results validated against GRAPES-TYM winds. It is concluded that the proposed algorithm is a promising potential technique for strong wind retrieval from cross-polarization GF-3 SAR images without encountering a signal saturation problem.

[1]  Francois Le Chevalier,et al.  Future Ocean Scatterometry: On the Use of Cross-Polar Scattering to Observe Very High Winds , 2015, IEEE Transactions on Geoscience and Remote Sensing.

[2]  Xiaoming Li,et al.  Ocean Wave Integral Parameter Measurements Using Envisat ASAR Wave Mode Data , 2011, IEEE Transactions on Geoscience and Remote Sensing.

[3]  William Perrie,et al.  Evaluation of hurricane wind speed retrieval from cross-dual-pol SAR , 2016 .

[4]  Xiaofeng Li,et al.  Tropical Cyclone Morphology from Spaceborne Synthetic Aperture Radar , 2013 .

[5]  William Perrie,et al.  Recent progress on high wind-speed retrieval from multi-polarization SAR imagery: a review , 2014 .

[6]  D. R. Thompson,et al.  Polarization ratio for microwave backscattering from the ocean surface at low to moderate incidence angles , 1998, IGARSS '98. Sensing and Managing the Environment. 1998 IEEE International Geoscience and Remote Sensing. Symposium Proceedings. (Cat. No.98CH36174).

[7]  William Perrie,et al.  Comparison of composite Bragg theory and quad‐polarization radar backscatter from RADARSAT‐2: With applications to wave breaking and high wind retrieval , 2010 .

[8]  Xiaofeng Li,et al.  Preliminary Evaluation of Sentinel-1A Wind Speed Retrievals , 2016, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

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

[10]  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.

[11]  Ad Stoffelen,et al.  The Benefit of HH and VV Polarizations in Retrieving Extreme Wind Speeds for an ASCAT-Type Scatterometer , 2014, IEEE Transactions on Geoscience and Remote Sensing.

[12]  Jianhua Zhu,et al.  GF-3 SAR Ocean Wind Retrieval: The First View and Preliminary Assessment , 2017, Remote. Sens..

[13]  Xiaofeng Li,et al.  Comparison of Ocean-Surface Winds Retrieved From QuikSCAT Scatterometer and Radarsat-1 SAR in Offshore Waters of the U.S. West Coast , 2011, IEEE Geoscience and Remote Sensing Letters.

[14]  Wolfgang Koch,et al.  Directional analysis of SAR images aiming at wind direction , 2004, IEEE Transactions on Geoscience and Remote Sensing.

[15]  Paris W. Vachon,et al.  Ocean Vector Winds Retrieval From C-Band Fully Polarimetric SAR Measurements , 2012, IEEE Transactions on Geoscience and Remote Sensing.

[16]  William Perrie,et al.  Wind Speed Retrieval From VH Dual-Polarization RADARSAT-2 SAR Images , 2014, IEEE Transactions on Geoscience and Remote Sensing.

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

[18]  S. Lehner,et al.  Mesoscale wind measurements using recalibrated ERS SAR images , 1998 .

[19]  Biao Zhang,et al.  Cross‐polarization geophysical model function for C‐band radar backscattering from the ocean surface and wind speed retrieval , 2015 .

[20]  Jian Sun,et al.  Preliminary Assessment of Wind and Wave Retrieval from Chinese Gaofen-3 SAR Imagery , 2017, Sensors.

[21]  Xiaofeng Li,et al.  Comparison of Ocean Surface Winds From ENVISAT ASAR, MetOp ASCAT Scatterometer, Buoy Measurements, and NOGAPS Model , 2011, IEEE Transactions on Geoscience and Remote Sensing.

[22]  P. Vachon,et al.  Retrieving hurricane wind speeds using cross-polarization C-band measurements , 2014 .

[23]  Valery U. Zavorotny,et al.  Full-Polarization Modeling of Monostatic and Bistatic Radar Scattering From a Rough Sea Surface , 2014, IEEE Transactions on Antennas and Propagation.

[24]  K. Katsaros,et al.  Observation of tropical cyclones by high-resolution scatterometry , 1998 .

[25]  Jingsong Yang,et al.  An Improved Local Gradient Method for Sea Surface Wind Direction Retrieval from SAR Imagery , 2017, Remote. Sens..

[26]  B. Chapron,et al.  Global C-Band Envisat, RADARSAT-2 and Sentinel-1 SAR measurements in copolarization and cross-polarization , 2015 .

[27]  Paris W. Vachon,et al.  C-Band Cross-Polarization Wind Speed Retrieval , 2011, IEEE Geoscience and Remote Sensing Letters.

[28]  David L. T. Anderson,et al.  Scatterometer data interpretation: Estimation and validation of the transfer function CMOD4 , 1997 .

[29]  Jos de Kloe,et al.  EPS-SG Windscatterometer Concept Tradeoffs and Wind Retrieval Performance Assessment , 2012, IEEE Transactions on Geoscience and Remote Sensing.

[30]  P. Hwang,et al.  Surface roughness and breaking wave properties retrieved from polarimetric microwave radar backscattering , 2015 .

[31]  Biao Zhang,et al.  Bridging the gap between cyclone wind and wave by C‐band SAR measurements , 2017 .

[32]  Pablo Clemente-Colon,et al.  Comparison of SAR-derived wind speed with model predictions and ocean buoy measurements , 2001, IEEE Trans. Geosci. Remote. Sens..

[33]  Xiaofeng Li.  The first Sentinel-1 SAR image of a typhoon , 2015, Acta Oceanologica Sinica.

[34]  Lanqing Huang,et al.  Technical Evaluation of Sentinel-1 IW Mode Cross-Pol Radar Backscattering from the Ocean Surface in Moderate Wind Condition , 2017, Remote. Sens..

[35]  Thomas Meissner,et al.  The Emissivity of the Ocean Surface Between 6 and 90 GHz Over a Large Range of Wind Speeds and Earth Incidence Angles , 2012, IEEE Transactions on Geoscience and Remote Sensing.

[36]  W. Alpers,et al.  Atmospheric boundary layer rolls observed by the synthetic aperture radar aboard the ERS-1 satellite , 1994 .

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

[38]  William Perrie,et al.  Depolarized radar return for breaking wave measurement and hurricane wind retrieval , 2010 .

[39]  William Perrie,et al.  High-Resolution Hurricane Vector Winds from C-Band Dual-Polarization SAR Observations , 2014 .