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Scaling effect on the estimation of chlorophyll content using narrow band NDVIs based on radiative transfer model

机译:基于辐射转移模型的窄带NDVI对估计叶绿素含量的缩放效应

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The aim of this work is to compare the estimations of chlorophyll contents at foliar level and canopy level by using narrow band normalized difference vegetation indices. The canopy spectra reflectance and foliar spectra reflectance used in this work are simulated under different chlorophyll contents based on PROSPECT model and SAIL model. 10 narrow band NDVIs were selected at the identified ranges that can effectively assess foliar chlorophyll content. Firstly, we calculated the correlations between leaf chlorophyll contents and narrow band NDVIs and pick up ten optimal narrow band NDVIs that can assess leaf chlorophyll contents. Then, these ten narrow band NDVIs were applied to estimate chlorophyll contents at canopy level. The adaptation of the ten narrow band NDVIs used in assessing the canopy chlorophyll content were evaluated finally. As for each narrow band NDVI, we analyzed the correlation with the canopy chlorophyll content and the sensitivities to all canopy parameters. As a result, we found that only two narrow band NDVIs (i.e., NDVI(875, 725) and NDVI(900,720)) can be applied for the estimation of chlorophyll contents at canopy level.
机译:这项工作的目的是通过使用窄带归一化植被指数来比较叶面和冠层水平的叶绿素含量估算值。基于PROSPECT模型和SAIL模型,在不同叶绿素含量下,模拟了本文所使用的冠层光谱反射率和叶面光谱反射率。在确定的范围内选择了10个窄带NDVI,可以有效评估叶绿素含量。首先,我们计算了叶片叶绿素含量与窄带NDVI之间的相关性,并选择了十种可以评估叶片叶绿素含量的最佳窄带NDVI。然后,使用这十个窄带NDVI来估算冠层水平的叶绿素含量。最后评估了用于评估冠层叶绿素含量的十个窄带NDVI的适应性。对于每个窄带NDVI,我们分析了与冠层叶绿素含量的相关性以及对所有冠层参数的敏感性。结果,我们发现只有两个窄带NDVI(即NDVI(875,725)和NDVI(900,720))可用于估算冠层水平的叶绿素含量。

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