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采用PROSAIL辐射传输模型建立毛竹林叶面积指数(LAI)-冠层反射率查找表,并结合Landsat TM卫星遥感数据,实现了毛竹林LAI的定量反演.结果表明:PROSAIL模型各输入参数的敏感性由高到低依次为LAI>叶绿素含量(Cab)>叶片结构参数(N)>平均叶倾角(ALA)>等效水厚度(Cw)>干物质含量(Cm),并以LAI、Cab两个主要敏感因子用于构建毛竹林LAI-冠层反射率查找表;基于PROSAIL模型的毛竹林LAI遥感反演结果与实测LAI具有很好的一致性,二者相关系数为0.90,均方根误差和相关的均方根误差也较小,分别为0.58和13.0%,但也存在反演LAI平均值高于实际值的问题.
The leaf area index (LAI) - canopy reflectance table of Phyllostachys pubescens was established by PROSAIL radiative transfer model, and the LAI quantitative inversion of Phyllostachys heterocycla cv. Pubescens forest was carried out based on Landsat TM satellite remote sensing data.The results showed that the sensitivity of each input parameter of PROSAIL model From high to low, LAI> Cab> leaf structure parameters> average leaf inclination (ALA)> equivalent water thickness (Cw)> dry matter content (Cm) The main sensitive factors were used to construct the LAI-canopy reflectance look-up table of Phyllostachys pubescens forest. The LAI-canopy reflectance look-up table of Phyllostachys pubescens forest based on PROSAIL model was in good agreement with the measured LAI. The correlation coefficient was 0.90. The root mean square error And related root-mean-square errors were also small, 0.58 and 13.0%, respectively, but there was also a problem that the average value of inverted LAI was higher than the actual value.