【摘要】 以帽儿山林场为研究区,运用C波段的哨兵1号双极化数据,通过水云模型和干涉水云模型（IWCM）联立,利用遗传算法确定初值和非线性最小二乘法解算参数,分别对VV、VH极化方式建立后向散射、相干性和森林生物量的关系模型估测森林生物量,并对帽儿山43块样地的后向散射系数和相干系数与森林生物量进行分析。结果表明:相干性比后向散射对于森林生物量更加敏感,尤其对于穿透性较弱的C波段,不存在饱和现象,利用干涉相干性估测生物量更加合适。VV极化方式估测森林生物量精度的R²=0.705、R_MSE=29 t·hm^-2,VH极化方式估测森林生物量的精度的R²=0.534、R_MSE=40.48 t·hm^-2,VV极化方式精度较高,更适合森林生物量估测。因此,运用哨兵1号数据和干涉水云模型,可以很好的估测森林生物量。更多还原

【Abstract】 Taking Maoershan Forest Farm as the research area, using C-band Sentinel-1 dual-polarization data, combining water cloud model and interferometric water cloud model（IWCM）, we used genetic algorithm to determine initial value and nonlinear least squares solution parameters. We established the relationship model of backscatter, coherence and forest biomass for the VV and VH polarization modes respectively, and retrieved the forest biomass, and analyzed the backscatter coefficient and coherence coefficient and forest biomass of 43 plots in Maoershan. The coherence is more sensitive to forest biomass than backscattering, especially for the C-band with weaker penetrability, there is no saturation phenomenon, so it is more suitable to use interference coherence to retrieve biomass. The accuracy of forest biomass estimation by VV polarization method is R²=0.705, R_MSE=29 t/hm², and the accuracy of forest biomass estimation by VH polarization method is R²=0.534, R_MSE=40.48 t/hm², and the estimation accuracy of VV polarization method is better, more suitable for forest biomass estimation. Therefore, using the sentinel-1 data and the interference water cloud model, the forest biomass can be estimated very well.更多还原