An　important　contribution　of　Chinese　parteners　to　the　cooperated　FOREST　DRAGON　2　project　in　the　first　two　years　is　the　research　on　the　applications　of　L-band　ALOS　PALSAR　on　forest/non-forest　mapping　and　biomass　estimation.　In　this　paper,　two　aspects　of　the　research　are　introduced,　namely　forest/non-forest　mapping　and　forest　stand　biomass　estimation　by　the　synergistic　use　of　ALOS　PALSAR　FBD　data　and　airborne　Lidar　data.　An　rule　based　classification　method　was　developed　for　the　forest/non-forest　mapping　for　the　heterogeneous　regions　in　south　China　exploiting　the　new　features　of　ALOS　PALSAR　such　as　long-term　InSAR　coherence　at　L-band,　polarimetric　intensity　ratio　between　HH　and　HV.　Forest　stand　above　ground　biomass　estimation　in　rugged　terrain　area　from　ALOS　PALSAR　was　carried　out　taking　the　Lidar-derived　biomass　as　prior　knowledge.　The　backscattering　coefficient　increased　with　the　increase　of　forest　biomass　and　a　logarithm　equation　can　be　used　to　describe　the　relationship,　while　no　relationship　was　found　between　the　SAR　backscattering　coefficient　and　the　biomass　at　plot　level.　Higher　biomass　estimation　was　also　achieved　by　using　multi-temporal　regression　mode.