New approach to sea surface wind retrieval from GNSS-R measurements

So far, GNSS-R studies on sea surface wind retrieval from Delay-Doppler Maps (DDM) have focused on the best fitting of the model to the measurements. This paper proposes a new approach to retrieve the sea surface wind using DDM deconvolution. The proposed method is based on the direct restoration of scattering coefficients from two measured DDMs. Using the restored scattering coefficient images, the sea surface slope is estimated, and eventually the wind speed is retrieved from the sea surface slope. This paper presents the performance of the proposed method with the simulation results, and the advantages of the method.

[1]  Estel Cardellach,et al.  A new technique to sense non-Gaussian features of the sea surface from L-band bi-static GNSS reflections , 2008 .

[2]  Valery U. Zavorotny,et al.  Scattering of GPS signals from the ocean with wind remote sensing application , 2000, IEEE Trans. Geosci. Remote. Sens..

[3]  Hyuk Park,et al.  Ocean Surface's Scattering Coefficient Retrieval by Delay–Doppler Map Inversion , 2011, IEEE Geoscience and Remote Sensing Letters.

[4]  Adriano Camps,et al.  An Efficient Algorithm to the Simulation of Delay–Doppler Maps of Reflected Global Navigation Satellite System Signals , 2009, IEEE Transactions on Geoscience and Remote Sensing.

[5]  Manuel Martín-Neira,et al.  The PARIS Ocean Altimeter In-Orbit Demonstrator , 2011, IEEE Transactions on Geoscience and Remote Sensing.

[6]  W. Munk,et al.  Measurement of the Roughness of the Sea Surface from Photographs of the Sun’s Glitter , 1954 .

[7]  Hyuk Park,et al.  End-to-end simulator for Global Navigation Satellite System Reflectometry space mission , 2010, 2010 IEEE International Geoscience and Remote Sensing Symposium.

[8]  Adriano Camps,et al.  Correction of the Sea State Impact in the L-Band Brightness Temperature by Means of Delay-Doppler Maps of Global Navigation Satellite Signals Reflected Over the Sea Surface , 2008, IEEE Transactions on Geoscience and Remote Sensing.

[9]  P. Silvestrin,et al.  The Eddy Experiment: GNSS‐R speculometry for directional sea‐roughness retrieval from low altitude aircraft , 2004, physics/0407037.

[10]  Stephen J. Katzberg,et al.  Calibration of reflected GPS for tropical storm wind speed retrievals , 2006 .

[11]  Stephen J. Katzberg,et al.  Wind speed measurement using forward scattered GPS signals , 2002, IEEE Trans. Geosci. Remote. Sens..