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首页> 外文期刊>IEEE Transactions on Geoscience and Remote Sensing. >Extraction of red edge optical parameters from Hyperion data for estimation of forest leaf area index
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Extraction of red edge optical parameters from Hyperion data for estimation of forest leaf area index

机译：从Hyperion数据中提取红边光学参数以估计森林叶面积指数

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A correlation analysis was conducted between forest leaf area index (LAI) and two red edge parameters: red edge position (REP) and red well position (RWP), extracted from reflectance image retrieved from Hyperion data. Field spectrometer data and LAI measurements were collected within two days after the Earth Observing One satellite passed over the study site in the Patagonia region of Argentina. The two red edge parameters were extracted with four approaches: four-point interpolation, polynomial fitting, Lagrangian technique, and inverted-Gaussian (IG) modeling. Experimental results indicate that the four-point approach is the most practical and suitable method for extracting the two red edge parameters from Hyperion data because only four bands and a simple interpolation computation are needed. The polynomial fitting approach is a direct method and has its practical value if hyperspectral data are available. However, it requires more computation time. The Lagrangian method is applicable only if the first derivative spectra are available; thus, it is not suitable to multispectral remote sensing. The IG approach needs further testing and refinement for Hyperion data.
机译：从从Hyperion数据获取的反射率图像中提取出的森林叶面积指数（LAI）与两个红边参数：红边位置（REP）和红井位置（RWP）之间进行了相关分析。在“地球观测一号”卫星经过阿根廷巴塔哥尼亚地区的研究地点后两天内，收集了现场光谱仪数据和LAI测量值。使用四种方法提取两个红边参数：四点插值，多项式拟合，拉格朗日技术和反向高斯（IG）建模。实验结果表明，四点方法是从Hyperion数据中提取两个红边参数的最实用，最合适的方法，因为只需要四个频段和简单的插值计算即可。多项式拟合方法是一种直接方法，如果有高光谱数据可用，则具有实用价值。但是，它需要更多的计算时间。拉格朗日法仅在有一阶导数谱可用的情况下适用。因此，它不适用于多光谱遥感。 IG方法需要进一步测试和完善Hyperion数据。

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