Large-scale mapping of boreal forest in SIBERIA using ERS tandem coherence and JERS backscatter data

摘要: Siberia's boreal forests represent an economically and ecologically precious resource, a significant part of which is not monitored on regular basis. Synthetic aperture radars (SARs), with their sensitivity to forest biomass, offer mapping capabilities that could provide valuable up-to-date information, for example about fire damage or logging activity. The European Commission SIBERIA project had the aim area approximately 1 million km2 in Siberia using SAR data from two satellite sources: tandem mission Remote Sensing Satellites ERS-1/2 Japanese Earth Resource Satellite JERS-1. Mosaics ERS interferometric coherence JERS backscattering coefficient show wealth information contained these but they also large differences radar response between neighbouring images. To create one homogeneous map, adaptive methods are able account brightness changes due environmental effects were required. In this paper empirical model determine growing stock volume classes backscatter described. For up 80 m3/ha, accuracies over 80% achieved hundred frames at spatial resolution 50 m.