A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is
2 Conclusions are: 1) Decomposition algorithms of the polarimetric covariance matrix result in information on scattering mechanisms in the vegetation canopy and on the ground, so being potentially of great value for land cover mapping; 2) Satellite polarimetric SARs, for example those to be flown on Envisat and ALOS, will be able to estimate stem volume on continental and global scales; 3) L-band SAR has a potential for snow cover mapping and run-off prediction. Accuracy of wet snow mappingdoi:10.1080/01431160110076199 fatcat:2dtph5ljqzegdeikq6m3tgqgnm