DocumentCode :
677546
Title :
Estimation of forest biomass from L-band polarimetric decomposition components
Author :
Tanase, Mihai A. ; Panciera, Rocco ; Lowell, Kim ; Hacker, Jorg ; Walker, Jeffrey P.
Author_Institution :
Cooperative Res. Centre for Spatial Inf., Univ. of Melbourne, Melbourne, VIC, Australia
fYear :
2013
fDate :
21-26 July 2013
Firstpage :
949
Lastpage :
952
Abstract :
Using an airborne L-band system the impact of increased spatial resolution and a fully polarized sensor on biomass retrieval was investigated. A water cloud type model was used to retrieve biomass from backscatter intensities and polarimetric target decomposition components. The analysis revealed similar biomass estimation errors (around 60%) when using backscatter intensity and polarimetric decomposition metrics. These results indicate that fully polarized L-band missions would not significantly improve the accuracy of biomass estimation using existing modelling approaches. New methods, such as polarimetric interferometry, have to be perfected and tested over a wide range of conditions to take advantage of their increased capabilities.
Keywords :
radar polarimetry; remote sensing by laser beam; remote sensing by radar; vegetation; L-band polarimetric decomposition components; airborne L-band system; backscatter intensities; biomass estimation errors; biomass retrieval; forest biomass estimation; polarimetric decomposition metrics; polarimetric target decomposition components; polarized L-band missions; water cloud type model; Backscatter; Biological system modeling; Biomass; Estimation error; Measurement; Synthetic aperture radar; Biomass estimation; L-band SAR; polarimetric target decomposition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location :
Melbourne, VIC
ISSN :
2153-6996
Print_ISBN :
978-1-4799-1114-1
Type :
conf
DOI :
10.1109/IGARSS.2013.6721318
Filename :
6721318
Link To Document :
بازگشت