Ocean surface wind direction measurement by scanning polarimetric microwave radiometry
- 1 January 1998
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 5, 2307-2310 vol.5
- https://doi.org/10.1109/igarss.1998.702197
Abstract
The retrieval of ocean surface wind vector from polarimetric microwave brightness temperature fields is posed as a nonlinear inversion of the geophysical model function (GMF) for emission using maximum likelihood (ML) estimation. Applying the maximum likelihood estimator results in a weighted least-squares minimization problem that is valid for multi-look, multi-frequency, multi-polarization microwave brightness temperature measurements. By coupling this result with an empirically derived GMF, wind direction retrieval is demonstrated using multi-band conically-scanned polarimetric microwave brightness imagery obtained using the Polarimetric Scanning Radiometer (PSR) during observations over the Labrador Sea in March 1997.Keywords
This publication has 7 references indexed in Scilit:
- Radiometrs-polarimeters: principles of design and applications for sea surface microwave Emission PolarimetryPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Polarimetric scanning radiometer for airborne microwave imaging studiesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Combined high-resolution active and passive imaging of ocean surface winds from aircraftPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Polarimetric brightness temperatures of sea surfaces measured with aircraft K- and Ka-band radiometersIEEE Transactions on Geoscience and Remote Sensing, 1997
- Modeling of wind direction signals in polarimetric sea surface brightness temperaturesIEEE Transactions on Geoscience and Remote Sensing, 1997
- Measurement of oceanic wind vector using satellite microwave radiometersIEEE Transactions on Geoscience and Remote Sensing, 1992
- A comparative study of several wind estimation algorithms for spaceborne scatterometersIEEE Transactions on Geoscience and Remote Sensing, 1988