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

Author

Praks, Jaan ; Koskinen, Jarkko ; Arslan, Ali Nadir ; Kruopis, Nerijus ; Alasalmi, Hanna ; Hallikainen, Martti

Author_Institution

Lab. of Space Technol., Helsinki Univ. of Technol., Espoo, Finland

Volume

3

fYear

1998

fDate

6-10 Jul 1998

Firstpage

1538

Abstract

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

Keywords

airborne radar; backscatter; hydrological techniques; radar cross-sections; radar polarimetry; radar theory; remote sensing by radar; snow; synthetic aperture radar; C-band; Cloude theorem; Cloude´s target decomposition theorem; EMAC´95 snow campaign; EMISAR; L-band; SAR; SHF; UHF; airborne radar; backscattering; covariance matrix eigenvalue; decomposition theory; forest; hydrology; measurement technique; microwave radar; radar polarimetry; radar remote sensing; radar scattering; snow cover; snow depth; snow mapping; snowcover; snowpack; synthetic aperture radar; Backscatter; Covariance matrix; Eigenvalues and eigenfunctions; Matrix decomposition; Radar scattering; Remote sensing; Scattering parameters; Snow; Space technology; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium Proceedings, 1998. IGARSS '98. 1998 IEEE International

Conference_Location

Seattle, WA

Print_ISBN

0-7803-4403-0

Type

conf

DOI

10.1109/IGARSS.1998.691578

Filename

691578