Forest woody biomass classification with satellite-based radar coherence over 900 000 km2 in Central Siberia

摘要: Abstract In the current context of global deforestation and warming, a wide range organisations, with local to international remits, need estimates forest biomass assess state World’s forests their rate change. The task would be impossible without space-based Earth observation, which allows rapid generation extensive data sets describing land surface properties. It is remote sensing scientists interpret these into meaningful source information. Here, fast easily automated method for classifying boreal in terms growing stock volume presented. work was conducted as part SIBERIA project, has resulted recent publication map covering 900 000 km2 Central Siberia. paper describes use satellite-based radar coherence differentiate categories volume, application this classify Siberian forests, characterisation classes help interpretation. A list acronyms abbreviations used text provided Appendix .