BIOMASS ESTIMATION OVER TROPICAL RAINFORESTS USING GNSS-R ON-BOARD THE CYGNSS MICROSATELLITES CONSTELLATION

A performance assessment of the Cyclone Global Navigation Satellite System (CyGNSS) mission for biomass studies is presented in this paper over Congo and Amazon tropical rainforests. The functional correlation between CyGNSS-derived trailing edge TE and Avitabile et. al. Above Ground Biomass (AGB) pan-tropical data is evaluated using ICESat/GLASderived Canopy Height (CH), SMAP-derived Vegetation Optical Depth (VOD) and Polarization Index (PI). The main objective is to investigate the sensitivity of CyGNSS to biomass over dense forest canopies. The potential advantage of CyGNSS as compared to classical monostatic radar missions could rely on the increasing signal attenuation by the upwelling vegetation cover that reduces the coherent scattering component sigma(coh,0). This term can only be collected in a bistatic radar geometry. Ignoring measurement noise, preliminary results show that the use of TE allows to estimate AGB up to 400 ton/ha and 250 ton/ha over Congo and Amazon rainforests at low elevation angles theta(e) similar to [20, 40]degrees. The analysis using the SMAP-derived microwave vegetation parameters shows that: a) VOD performs well even over rainforests, and b) PI could depend on the CH levels.