An estimation of carbon storage of Spartina alterniflora in coastal areas of Hebei Province

HUANG Bo; LU Li; WU Ziqi; FENG Honge

doi:10.13984/j.cnki.cn37-1141.2026.01.014

Abstract：Spartina alterniflora has become one of the main plant species in coastal salt marsh wetlands in Hebei Province since its introduction into China.In order to monitor the vegetation carbon storage status of S.alterniflora in the coastal areas of Hebei Province,the problems of inconsistency between the measured spectra and satellite spectra of S.alterniflora in the field,small sample sizes and difficul-ties in remote sensing inversion of underground biomass were addressed using remote sensing technolo-gy.A direct standardization(DS)algorithm was proposed to calibrate the spectra of ZY01-02D VNIC satellite.By introducing field measured spectra,a BP neural network model for aboveground biomass of S.alterniflora was established.Regression analysis was performed for the difference between the spectral angle of the satellite spectrum and the measured values of underground biomass after DS cor-rection,and a cubic function model was established.The percentage of organic carbon content was taken as the average of the measured values.Finally,the total vegetation carbon storage of S.alterni-flora in Hebei Province was estimated.(1)The decision coefficient(R2)of the aboveground biomass model for the full spectrum of the satellite spectrum without DS correction was 0.7244,and the model R2 of this method reached 0.8249.Removing the impact of environmental factors on the satellite spec-trum and increasing the number of samples improved the accuracy of aboveground biomass retrieval.(2)The difference between the measured values of underground biomass and the spectral angle of the satellite spectrum after DS correction of the corresponding two pixels was a cubic function relationship with R2 0.85 and root mean square error(RMSE),90.69 g/m2.(3)in July 2022,the total vegetation carbon storage of S.alterniflora in the coastal areas of Hebei Province was 929.42 tons,accounting for 33.56％in Tangshan City and 66.44％in Cangzhou City.