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Retrieval of the Overstory and Understory Leaf Area Index of Forest Stands Using a Model of Forest Canopy Reflectance

机译:利用森林冠层反射模型检索森林覆盖和林叶面积指数的检索

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In this paper, the Kuusk-Nilson forest reflectance and transmittance (FRT) model was inverted to retrieve the overstory and understory leaf area index (LAI) of forest stands in the Longmenhe Nature Reserve (Xingshan County, Hubei province, China). Atmospherically and topographically corrected hyperspectral Hyperion imagery and field data had been input to retrieve the overstory and understory LAI simultaneously using FRT inverted model. An uncertainty and sensitivity matrix was used to analyze the sensitivity of the FRT model parameters based on field data. Twenty-one Hyperion bands were selected based on principal-components analysis and band importance from total Hyperion bands. Eight different Hyperion band combinations from 21 Hyperion bands were tested to evaluate the accuracy of the inversion of overstory and understory LAI. Our study showed that the overstory LAI of stands can be better retrieved when considering the understory LAI compared to only use total LAI.
机译:在本文中,Kuusk-nilson森林反射率和透射率(FRT)模型被倒置以检索森林海自然保护区(湖北省星山县)的森林夸张叶面积指数(Lai)。大气和地形校正的高光谱高度图像和现场数据已经输入,以使用FRT倒模具同时检索逾期和林林。使用不确定性和灵敏度矩阵来根据现场数据分析FRT模型参数的灵敏度。基于来自总HyperionB频带的主组件分析和乐队重要性来选择二十一个HyperionB频带。测试了来自21个HyperionB带的八种不同的Hyperion BAND组合,以评估含铅和林留的反演的准确性。我们的研究表明,与仅使用总莱相比,在考虑林部莱斯时,可以更好地检索良好的荔枝。

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