Estimating sea ice concentration from satellite passive microwave data and a physical model
Sea ice remote sensing and estimation of concentrations of each of several ice types from passive microwave satellite data is described. The approach is based on the Kalman filter; it incorporates surface temperature, ice advection, and ice deformation data derived from drifting buoys and uses the w...
| Main Authors: | , |
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| Format: | Other/Unknown Material |
| Language: | unknown |
| Published: |
1988
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| Subjects: | |
| Online Access: | http://ntrs.nasa.gov/search.jsp?R=19890009426 |
| Summary: | Sea ice remote sensing and estimation of concentrations of each of several ice types from passive microwave satellite data is described. The approach is based on the Kalman filter; it incorporates surface temperature, ice advection, and ice deformation data derived from drifting buoys and uses the whole temporal microwave record to make a smoothed estimate of ice concentration. The method allows resolution of previously ambiguous surface types. An example using time histories of two SMMR measurements to resolve the fractional areas of four surface types: open water, first-year, second-year and older multiyear ice is shown. |
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