This paper aims to describe the rationale of forest Above Ground Biomass (AGB) and related Aboveground Carbon Stock (ACS) products developed with satellite remote sensing. Optical and radar imagery were synergistically combined to (1) build a classification map of vegetation species; (2) build a regression of cross-polarized, angle-normalized radar backscattering coefficient (γ0HV) with ground surveys for each class; (3) apply the corresponding regressions to the entire vegetation class map to retrieve AGB and ACS. The scope of these products is focused on two of Argentina's most densely forested provinces: Misiones in the northwestermost part and Chubut in the south. The classes involve native (tropical and temperate) and implanted forests and the ground survey sampled homogeneous stands of each, totalizing 193 data measurements of AGB. ACS was derived from AGB using published dasometric relations on a species-basis. The output of each product consists of five layers, three of which define the lower and upper limits of an 80% confidence level interval and its median value.

The other two are ancillary layers. The products are freely available online at the National Commission on Space Activities (CONAE) website [1].