Statistics – Applications
Scientific paper
Apr 2003
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2003esasp.529e..23m&link_type=abstract
Proceedings of the Workshop on POLinSAR - Applications of SAR Polarimetry and Polarimetric Interferometry (ESA SP-529). 14-16 Ja
Statistics
Applications
Scientific paper
Forest biomass is one of the most important parameters for global carbon stock modelling yet can only be estimated with great uncertainties. Unfortunately, conventional remote sensing techniques for the estimation of forest biomass are not able to provide estimates on a global scale. An alternative approach is based on forest height estimates from single frequency polarimetric-interferometric SAR data. Here, forest biomass must be converted from forest height through allometric height-biomass relations. Based on the achieved forest height accuracy, this paper shall critically discuss the accuracy of the forest height-biomass relations as derived from standard forestry tables for temperate European forests. The potential of this approach shall be demonstrated by applying the forest height-biomass allometry to convert a forest height-map acquired from experimental airborne SAR data over the Fichtelgebirge test site (Germany) into a forest biomass-map.
Hajnsek I.
Mette T.
Papathanassiou Konstantinos P.
Zimmermann Rainer
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