| Citation: | ZHOU X，ZHENG N S，DING R，et al. An improved inversion method of forest biomass based on satellite GNSS-R[J]. Journal of Beijing University of Aeronautics and Astronautics，2024，50（8）：2619-2626 （in Chinese） doi: 10.13700/j.bh.1001-5965.2022.0654
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Based on the Tau-Omega model, a spaceborne global navigation satellite system relectometry (GNSS-R) forest aboveground biomass inversion method considering the correction of ground soil moisture is proposed. The cyclone global navigation satellite system (CYGNSS) reflectance was corrected using the Tau-Omega model to increase the modeling parameters' accuracy, and SMAP satellite soil moisture was chosen as supplementary data. The biomass reference data utilized was the vegetation optical depth (VOD) supplied by SMAP satellite and the above-ground biomass (AGB) maps. The correlation changes between the observed values and the reference data prior to and following improvement were compared. The results show that the correlation coefficient increases significantly after the correction. The correlation coefficient between the parameters after improvement with VOD is increased from 0.54 to 0.67 compared to the reflectivity with VOD, and the correlation coefficient with AGB is increased from 0.46 to 0.56. Then, the GNSS-R VOD and AGB inversion models were established based on the corrected parameters and reflectivity through the artificial neural network, respectively. The results show that the improved method can effectively improve the inversion accuracy of VOD and AGB, and the improvement effect is better in areas with low biomass levels. For VOD inversion, after improvement, the correlation coefficient increased from 0.70 to 0.83, and the RMES decreased from 0.21 to 0.17; for AGB inversion, after improvement, the correlation coefficient increased from 0.61 to 0.71, and the RMES decreased from 74 t/hm2 to 65 t/hm2.
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