Cloude's target decomposition theorems applied to EMISAR data acquired during EMAC'95 snow campaign

In this study the possibilities of using polarimetric L- and C-band microwave SAR data in snow mapping are investigated. Covariance matrix eigenvalue based decomposition theory, proposed by Cloude (1992) was applied to polarimetric EMISAR data. SAR images and ground truth data were collected during...

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Bibliographic Details
Main Authors: Praks, J., Koskinen, J., Arslan, A.N., Kruopis, N., Alasalmi, H., Hallikainen, M.
Format: Conference Proceeding
Language:English
Subjects:
Backscatter
Covariance matrix
Eigenvalues and eigenfunctions
Matrix decomposition
Radar scattering
Remote sensing
Scattering parameters
Snow
Space technology
Testing
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Summary:In this study the possibilities of using polarimetric L- and C-band microwave SAR data in snow mapping are investigated. Covariance matrix eigenvalue based decomposition theory, proposed by Cloude (1992) was applied to polarimetric EMISAR data. SAR images and ground truth data were collected during the European Multisensor Airborne Campaign (EMAC'95) in Northern Finland over boreal forest areas. The influence of snow depth and forest stem volume to SAR signal was investigated. L-band reacts strongly to forest stem volume while snow conditions influence backscattering in C-band.
DOI:10.1109/IGARSS.1998.691578