bul 2004 
virtually 
.85cm to 
ion ratio 
al on the 
observe 
and the 
Its, these 
ughness 
surface 
ible (cf. 
increase 
ropy, we 
ses with 
rameters 
ice angle 
observed 
hness on 
les (47?) 
suggests 
ncidence 
1as been 
S system 
arimetric 
f targets 
. Results 
and the 
eigen 
moderate 
classes, 
classify. 
angle of 
less over 
surface 
suish the 
the class 
uction of 
between 
' Zone of 
lysis, X- 
]., 2000. 
mapping. 
! pp. 71- 
A., 2002. 
oughness 
ation to 
urnal of 
X target 
IEEE 
34, no. 2, 
  
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part Bl. Istanbul 2004 
Cloude S.R. and Pottier E, 1997. An entropy based 
classification scheme for land applications of polarimetric SAR. 
IEEE Transactions on Geoscience and Remote Sensing, vol. 35, 
no. 1, pp. 68-78. 
Ferro-Famil L., and Pottier E., 2001. Classification de données 
SAR multifréquences polarimétriques. Annals 
Télécommunications, vol. 56, no.9-10, pp. 510-522. 
Hajnsek L, Papathanassiou K.P., Reigber A., and Cloude S., 
1999. Soil moisture estimation using polarimetric SAR data. 
Proceedings IGARSS, Hamburg, 1999, vol. V, pp. 2440-2442. 
Le Toan T., Merdas M., Smacchia P., Souyris J.C., Beaudoin 
A., Nagid Y. and Lichtenegger J., 1994. Soil moisture 
monitoring using ERS-1. 2" ERS-1 Symposium ESA, Hamburg, 
pp. 883-888. 
Scheuchl B., Caves R., Cumming L, and Staples G., 2001. 
Automated sea ice classification using spaceborne polarimetric 
SAR data. Proceedings IGARSS, July 9-13,2001 Sydney 
Australia. 
Shi J., Dozier J., and Rott H., 1994. Snow Mapping in Alpine 
Regions with Synthetic Aperture Radar. /EEE Transactions on 
Geoscience and Remote Sensing, vol. 32, no. 1, pp. 152-156. 
Acknowledgements 
The authors would like to thank the personnel of ONERA for 
the acquisition and the processing of the SAR data. This work 
was supported by the BRGM (French Geological Survey), 
ONERA (French Aerospace Research Centre), CETP (French 
Centre for the Study of Earth and Planet Environments), INRA 
(French National Agronomic Research Institute) and the PNTS 
(National Remote Sensing Program). 
——— 
| 
| 
Wl 
N