DocumentCode
2112888
Title
Coastal high resolution wind fields retrieved from RADARSAT-1 ScanSAR
Author
Horstmann, Jochen ; Koch, Wolfgang ; Lehner, Susanne ; Tonboe, Rasmus
Author_Institution
GKSS Res. Center, Geesthacht, Germany
Volume
4
fYear
2001
fDate
2001
Firstpage
1747
Abstract
An algorithm is presented for retrieving high resolution wind fields from the scanning synthetic aperture radar (ScanSAR) data acquired aboard the Canadian satellite RADARSAT-1. The wind directions are extracted from wind induced streaks, e.g. from boundary layer rolls, Langmuir cells, or wind shadowing, which are approximately in line with the mean wind direction. The wind speeds are derived from the normalized radar cross section (NRCS) and image geometry of the calibrated ScanSAR images, together with the local wind direction. Therefore the semi-empirical C-band model CMOD4, which describes the dependency of the NRCS on wind and image geometry, is inverted. CMOD4 was originally developed for the scatterometer operating at C-band with vertical polarization and has to be modified for horizontal polarization, which is performed by considering the polarization ratio according to Kirchhoff scattering. To verify the algorithm, wind fields were computed from several RADARSAT-1 ScanSAR images and compared to collocated results from the Danish high resolution limited area model. To estimate relative errors of wind speed due to uncertainties in wind direction and NRCS, sensitivity studies were performed
Keywords
remote sensing by radar; spaceborne radar; synthetic aperture radar; wind; C-band model CMOD4; C-band scatterometer; Canadian satellite RADARSAT-1; Danish high resolution limited area model; Kirchhoff scattering; Langmuir cells; RADARSAT-1 ScanSAR data; boundary layer rolls; coastal high resolution wind fields; horizontal polarization; image geometry; normalized radar cross section; retrieval algorithm; scanning synthetic aperture radar; sensitivity studies; vertical polarization; wind direction; wind induced streaks; wind shadowing; wind speeds; Data mining; Geometry; Information retrieval; Polarization; Radar cross section; Satellites; Sea measurements; Shadow mapping; Solid modeling; Wind speed;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2001. IGARSS '01. IEEE 2001 International
Conference_Location
Sydney, NSW
Print_ISBN
0-7803-7031-7
Type
conf
DOI
10.1109/IGARSS.2001.977058
Filename
977058
Link To Document