Statistics – Applications
Scientific paper
Jan 2002
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2002esasp.475..389p&link_type=abstract
In: Proceedings of the Third International Symposium on Retrieval of Bio- and Geophysical Parameters from SAR Data for Land Appl
Statistics
Applications
Forestry
Scientific paper
The aim of this study is to find the most suitable polarimetric analysis techniques for boreal forest remote sensing under variable weather conditions with L- and C-band SAR. Extensive ground truth data is combined with polarimetric SAR images for analysis. By using fully polarimetric SAR images from two imaging dates the temporal stability and relation to forest properties of different polarimetric descriptors is studied. Results show, that best parameter for forest biomass mapping is L-band HV backscattering coefficient. Application of complicated polarimetric analysis techniques did not give additional benefit.
Hallikainen Martii
Praks Jaan
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