首页> 外文会议>IEEE International Geoscience and Remote Sensing Symposium >HYPERSPECTRAL VEGETATION INDICES FOR CROP CHLOROPHYLL ESTIMATION: ASSESSMENT, MODELING AND VALIDATION
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HYPERSPECTRAL VEGETATION INDICES FOR CROP CHLOROPHYLL ESTIMATION: ASSESSMENT, MODELING AND VALIDATION

机译:农作物叶绿素估计的高光谱植被指数:评估,建模和验证

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This study summarizes 12 spectral indices for chlorophyll inversion, including traditional multi-spectral indices and newly published indices constructed based on "Red Edge" (680-750nm) and "Double-Peak" in red edge region. Among them, some are good candidates to resist Leaf Area Index (LAI) variations, but some are not. By using forward model simulations and in-situ measurements data, we systematically tested these indices and picked out the best one which 1) has the highest sensitivity to chlorophyll; 2) has the best resistance to LAI variation. Then predictive equations were developed from simulated data and validated using winter wheat ground measurement data collected in 2011, Yucheng Station at Chinese Academy of Sciences.
机译:本研究总结了叶绿素反转的12个光谱指标,包括基于“红色边缘”(680-750nm)和红色边缘区域的“双峰”构建的传统多光谱指标和新发布的指标。其中,有些是抵抗叶面积指数(赖)变异的良好候选人,但有些是不是。通过使用前进模型模拟和原位测量数据,我们系统地测试了这些索引并挑选出1)对叶绿素具有最高敏感性的索引; 2)对莱赖变异具有最佳抵抗力。然后从模拟数据开发了预测方程,并使用2011年收集的冬小麦地面测量数据进行了验证,在中国科学院的Yucheng站。

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