不同带宽下植被指数对LAI反演精度的影响

Ting Huang, Liang Liang, Jiahui Wang, Di Geng, X. Luo, Lijuan Wang
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摘要

植被指数(VIs)已被广泛用于反演叶面积指数(LAI),但在反演过程中,反演精度往往受到各种参数的影响。基于PROSAIL模型模拟的冠层光谱反射率,筛选了15个常用的LAI反演植被指数,这些植被指数与LAI的平均决定系数(${R}^{2}$)较高。通过分析植被指数对带宽的敏感性以及R2与带宽的关系,讨论带宽对植被指数反演LAI精度的影响。结果表明,植被指数估算LAI的精度受带宽影响较大。此外,还发现植被指数存在一定的最优带宽。
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Influence of Vegetation Index on LAI Inversion Accuracy at Different Bandwidths
The vegetation indices (VIs) have been widely used to invert the leaf area index (LAI), but in the process of inversion, the accuracy of inversion is often affected by various parameters. Based on the canopy spectral reflectance simulated by the PROSAIL model, 15 vegetation indices that are commonly used for LAI inversion and have a higher mean coefficient of determination (${R}^{2}$) with LAI are screened. By analyzing the sensitivity of vegetation index to bandwidth and the relationship between R2 and bandwidths, the influence of bandwidth on the accuracy of vegetation index inversion LAI is discussed. The results show that the accuracy of estimating LAI by vegetation indices is greatly affected by bandwidth. In addition, it is found that there is some optimal bandwidth for vegetation index.
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