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首页> 外文会议>International Geoscience and Remote Sensing Symposium >Minimization of shadow effects in forest canopies for chlorophyll content estimation using red edge optical indices through radiative transfer: Implications for MERIS
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Minimization of shadow effects in forest canopies for chlorophyll content estimation using red edge optical indices through radiative transfer: Implications for MERIS

机译：通过辐射转移使用红色光学指标对叶绿素含量估计的叶绿素含量估计的暗影效应的最小化：对Meris的影响

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This paper reports on progress made to develop methods to accurately estimate pigment content in forest canopies from airborne hyperspectral data. Radiative transfer approaches and red edge optical indices were applied to twelve sites of Acer saccharum M. in the Algomn Region, Ontario (Canada), where field measurements and hyperspectral CASI reflectance data have been collected between 1997 and 2000 deployments. Turbid-medium models such as SAILH and Kuusk were successfully applied to closed forest canopies minimizing the effects of canopy shadows and structure by using red edge optical indices in the merit function. Pigment content was successfully estimated linking PROSPECT leaf model to SAILH canopy model, minimizing the merit function by iterative process in MERIS-derived spectra from hyperspectral CASI data. The selection of the merit function used for minimization has been demonstrated to be critical, showing that shadow effects are removed when red edge optical indices are used. Implications for MERIS sensor by ESA on ENVISAT are discussed in this paper.
机译：本文报告了开发方法，以便从空气传播的高光谱数据中准确估计森林檐篷中颜料含量的方法。辐射转移方法和红色光学指数应用于Ager Saccharum M的12个位点。在Algomn Region，安大略省（加拿大），在1997年至2000年间部署之间收集了现场测量和高光谱赌场反射数据。 Sailh和Kuusk等混浊介质模型被成功应用于封闭的森林檐篷，最小化冠层阴影和结构的效果在优点函数中使用红色光学指标。颜料含量被成功地估计将前景叶模型连接到Sailh Canopy模型，从Hyperspectral CASI数据中最小化Meris衍生光谱中的迭代过程的优异功能。已经证明了用于最小化的优异功能的选择是至关重要的，显示使用红色光边光学指数时会消除阴影效果。本文讨论了ESA对Meris传感器的影响。

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