New research product: Above Ground Biomass (AGB) derived from multi-angular SMOS TB

 

Following our previous works on exploiting SMOS observations to study vegetation, we have developed a Neural Network approach to estimate Above Ground Biomass (AGB) that directly leverages multi-angular brightness temperatures from the SMOS mission. In addition to brightness temperatures, polarization ratios and emissivities serve as predictors for the neural networks. This method complements our earlier VOD-based AGB estimates, further refining the spatial representation of biomass across diverse regions and offering a valuable resource for monitoring vegetation health and carbon stocks.

The new AGB data, spanning 2011 to 2024, is nammed SM_SCIE_MIR_L4AGBC_20110101T000000_20241231T235959_100_001_8.nc

 

More information and product access here.