Title :
Retrieval of ocean surface wave fields using marine radar-image sequences
Author :
Dankert, Heiko ; Rosenthal, Wolfgang
Author_Institution :
GKSS Res. Center, Geesthacht
Abstract :
This paper describes and validates an empirical method for inversion of marine radar-image sequences to time series of ocean surface wave fields without calibration. External sensors are not required. The radar system can measure as a stand-alone device. The method has been developed within the framework of the European project "MaxWave" and is based on a local description of the RCS in space and time, whereby the ocean surface is subdivided into local facets. A local transfer function between local RCS and ocean surface is determined for each facet. The inversion scheme is applied to radar-image sequences acquired by a marine X-band radar, operating at grazing incidence and horizontal polarization in transmit and receive. The system is mounted aboard an offshore platform in the North Sea. The ocean-surface image sequences are validated by comparison of the calculated significant wave heights with values from co-located wave records of three in-situ sensors. It is shown that the accuracy of the radar-retrieved significant wave height is within the accuracy of the in-situ sensors
Keywords :
geophysical signal processing; image sequences; ocean waves; oceanographic techniques; radar cross-sections; radar imaging; remote sensing by radar; time series; transfer functions; MaxWave European project; North Sea; grazing incidence; horizontal polarization; in-situ sensors; inversion scheme; local RCS; local facets; local transfer function; marine X-band radar; marine radar-image sequences; ocean surface wave fields; offshore platform; radar cross section; radar system; radar-retrieved significant wave height; stand-alone device; time series; Calibration; Oceans; Polarization; Radar cross section; Radar imaging; Radar measurements; Sea measurements; Sea surface; Surface waves; Transfer functions;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
Conference_Location :
Anchorage, AK
Print_ISBN :
0-7803-8742-2
DOI :
10.1109/IGARSS.2004.1370708