Temperate forest aboveground biomass estimation by means of multi-sensor fusion: The Daxinganling campaign

A campaign consists of in-situ measurement, airborne Lidar data and spaceborne data fusion was designed and implemented in Daxinganling of Northeastern China. The purpose of the campaign is to collect field and multi-sensor data to produce spatial explicit map of forest aboveground biomass for the entire region. This paper presents preliminary results of ABG mapping using field data, airborne lidar, ICESat GLAS, MODIS and ENVISAT MERIS data. The AGB map from multi-sensor fusion had a good performance with 8.1% difference after comparison with the estimated AGB in the Daxinganling Ecological Research Station.