[DOI: 10.21982/M8XK92 ] Full SeaWinds Slice Spatial Resolution Function
Imaging applications of SeaWinds on QuikSCAT and ADEOS II are acilitated by applying reconstruction and resolution enhancement algorithms to produce high resolution images of the surface normalized radar cross section (sigma-0). Such algorithms require a description of the spatial response function (SRF) of the measurements. The pencil-beam design of SeaWinds, coupled with the onboard processing, results in a spatial response function with varies significantly between measurements and is a function of orbit and antenna position. The computational complexity of the SeaWinds spatial response function requires that a method of parameters for effective use. This code interpolates two precomputed files to efficiently evaluate a 2d polynomial parameterized full SRF for individual slice measurements as a function of orbit position, antenna rotation angle, and polarization. Fortran, C, and some Matlab versions of the code are available along with required binary parameter files.
Code Site: http://www.scp.byu.edu/software/slice_response/Xshape_temp.html
Appears in: D.G. Long, "Comparison of SeaWinds Backscatter Imaging Algorithms," IEEE Journal of Selected Topics in Applied Earth Observations, Vol. 10, No. 3, pp. 2214-2231, doi:10.1109/JSTARS.2016.2626966, 2017.
M.P. Owen, K.M. Stuart, and D.G. Long, "Ultra-High-Resolution Near-Coastal Wind Retrieval for QuikSCAT ," in "Coastal Ocean Remote Sensing," Proceedings of SPIE Vol. 6680, 26-27 Aug 2007.
I.S. Ashcraft and D.G. Long, "The spatial response function of SeaWinds backscatter measurements," in "Earth Observations Systems VIII," W.L. Barnes, ed., Proceedings of SPIE Vol. 5151, pp. 609-619, 3-6 Aug 2003.
Code Languages: C, Fortran77, Other - Matlab
To compile code: linux, gcc; linux, g77; or Matlab
Sensor Categories: Scatterometer
Instrument Processing and Calibration Categories: Scatterometer
Keywords: SeaWinds, scatterometer, spatial response function, reconstruction