DocumentCode :
410621
Title :
Ocean winds retrieved from X-band radar-image sequences
Author :
Dankert, Heiko ; Horstmann, Jochen ; Magnusson, Anne-Karin ; Rosenthal, Wolfgang
Author_Institution :
GKSS Res. Center, Geesthacht, Germany
Volume :
2
fYear :
2003
fDate :
21-25 July 2003
Firstpage :
1261
Abstract :
A new method for retrieving wind speeds and directions using nautical radar-image sequences is presented. The method consists of two parts, one for wind direction and another for wind speed retrieval. Wind directions are locally extracted from wind induced streaks, which are approximately in line with the mean wind direction. The algorithm assumes wind direction as normal to the local gradients of the amplitude image. Wind speeds are derived from the radar cross section, by parameterization of its dependency on the wind vector, which is performed by training of a neural network. For verification of the method the wind direction and speed from nearly 1400 radar-image sequences are compared to in situ data from a wind sensor. The accuracy and limitations of the method are discussed. A second new method is introduced, which enables to retrieve spatial and temporal wind fields from radar-image sequences. Thereby the wind streaks are available in space and time. The local velocity and direction of the wind pattern of each point in the investigated area is determined using tensor-based techniques. This method has the advantage that no calibration of the radar images or training of a neural network is necessary.
Keywords :
atmospheric techniques; image sequences; oceanographic techniques; radar imaging; remote sensing by radar; wind; X-band sequences; amplitude image; nautical sequences; neural network; ocean winds; parameterization; radar cross section; radar-image sequences; tensor-based techniques; wind direction; wind speeds; wind streaks; wind vector; Calibration; Directive antennas; Neural networks; Oceans; Radar antennas; Radar cross section; Radar imaging; Rough surfaces; Sea surface; Wind speed;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2003. IGARSS '03. Proceedings. 2003 IEEE International
Print_ISBN :
0-7803-7929-2
Type :
conf
DOI :
10.1109/IGARSS.2003.1294076
Filename :
1294076
Link To Document :
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