Research on Wind Speed Inversion Method for X-Band Networked SAR Satellite
Open Access
- 19 August 2020
- journal article
- research article
- Published by MDPI AG in Journal of Marine Science and Engineering
- Vol. 8 (9) , 626
Abstract
Synthetic aperture radar (SAR) can extract sea surface wind speed information. To extract wind speed information through the geophysical model function (GMF), the corresponding wind direction information must be input. This article introduces some concepts about networked SAR satellites. The networked satellites enable multiple SARs to observe the same sea surface at different incidence angles at the same time. Aiming at the X-band networked SAR data with different incident angles, the cost function is established by using the GMF. By minimizing the cost function, accurate wind speed information can be extracted without inputting wind direction information. When the noise is small, the wind direction information is introduced, and the accuracy of the extracted wind speed will be improved. When the noise is less than 1 dB and the incident angle is greater than 30°, the root-mean-square error (RMSE) of the wind speed extracted by this method is basically less than 2 m/s.Keywords
Funding Information
- the National Key R&D Program of China (2017YFC1405600)
This publication has 20 references indexed in Scilit:
- A Novel Azimuth Cutoff Implementation to Retrieve Sea Surface Wind Speed From SAR ImageryIEEE Transactions on Geoscience and Remote Sensing, 2018
- Dependency of the Sentinel-1 azimuth wavelength cut-off on significant wave height and wind speedInternational Journal of Remote Sensing, 2016
- Algorithm for Sea Surface Wind Retrieval From TerraSAR-X and TanDEM-X DataIEEE Transactions on Geoscience and Remote Sensing, 2013
- XMOD2—An improved geophysical model function to retrieve sea surface wind fields from Cosmo-Sky Med X-band dataEuropean Journal of Remote Sensing, 2013
- An algorithm for the retrieval of sea surface wind fields using X-band TerraSAR-X dataInternational Journal of Remote Sensing, 2012
- An overview on SAR measurements of sea surface windProgress in Natural Science: Materials International, 2008
- Toward an optimal inversion method for synthetic aperture radar wind retrievalJournal of Geophysical Research: Oceans, 2002
- Progress in Scatterometer ApplicationJournal of Oceanography, 2002
- Ocean surface wind fields estimated from satellite active and passive microwave instrumentsIEEE Transactions on Geoscience and Remote Sensing, 1999
- Scatterometer data interpretation: Estimation and validation of the transfer function CMOD4Journal of Geophysical Research: Oceans, 1997