Abstract: Suaeda salsa is a kind of typical habitat vegetation in the coastal wetlands of Liaodong Bay, its growth density can directly reflect the restoration effect of Panjin blue bay Remediation Action. Using GF-6 satellite image as data source and based on field measured data, the study analysed the remote sensing quantitative inversion of Suaeda salsa density, The results showed that: (1) The biomass wet weight was more significantly correlated with each vegetation index than the dry weight. The quadratic polynomial regression analysis model based on TSAVI was the optimal model for biomass remote sensing inversion. (2) Based on in-situ data, the growth density model constructed in this study has good applicability to the communities with different cover conditions. The correlation coefficient R² verified by field measurements was greater than 0.97, which met the accuracy requirements of quantitative retrieval of growth density. And the soil coefficient in the model has some robustness. This study can provide technical support for the evaluation of the effect of coastal wetland conservation and restoration.