基于机理模型人工针叶林叶面积指数反演

LAI inversion of artificial coniferous forest Based on mechanism model

摘要: 以内蒙古赤峰市旺业甸实验林场人工针叶林为研究区域，以哨兵2A（Sentinel-2A）多光谱遥感影像和外业测量的LAI为基础，探讨了5-scale+Liberty机理耦合模型和经验统计模型反演人工针叶林LAI的规律。结果表明：基于一元线性模型估测的LAI精度较低，R²=0.619，RMSE=1.6107；基于机理模型反演的LAI较高，R²=0.8222，RMSE=0.9414，并进一步分析了不同步长情况下，5-scale+Liberty模型反演的LAI与实测的LAI之间的关系，步长的大小一定程度上影响LAI反演精度。

Abstract: Using 5-scale+Liberty mechanism model and empirical statistical model, the law of LAI inversion of artificial coniferous forest is discussed based on the data of Sentinel-2A and measured LAI in Wangyedian Experimental Forest Farm in Chifeng city of Inner Mongolia.The results show that the precision(R²=0.619, RMSE=1.6107) estimated by univariate linear model is lower, but the precision(R²=0.8222, RMSE=0.9414) estimated by 5-scale+Liberty mechanism model is higher, and the relationship between 5-scale inversion LAI at different paces and measured LAI is further analyzed, the step length affects the LAI inversion accuracy to some extent.