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首页> 外文期刊>Remote Sensing of Environment: An Interdisciplinary Journal >PREDICTING NITROGEN AND CHLOROPHYLL CONTENT AND CONCENTRATIONS FROM REFLECTANCE SPECTRA (400-2500 NM) AT LEAF AND CANOPY SCALES
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PREDICTING NITROGEN AND CHLOROPHYLL CONTENT AND CONCENTRATIONS FROM REFLECTANCE SPECTRA (400-2500 NM) AT LEAF AND CANOPY SCALES

机译:从叶和冠层尺度的反射光谱(400-2500 NM)中预测氮和叶绿素的含量和浓度

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An experiment was designed to determine whether chlorophyll and nitrogen concentrations could be predicted from reflectance (R) spectra of fresh bigleaf maple leaves in the laboratory, and, if so, whether the predictive spectral features could be correlated with chlorophyll and nitrogen concentration or content of simple canopies of maple seedlings. The best predictors for nitrogen and chlorophyll of fresh leaves appeared with first-difference transformations of log 1/R, and the bands selected were similar to those found in other studies. Shortwave infrared bands were best predictors for nitrogen, visible bands best for chlorophyll. In the shortwave infrared region, however the absolute differences in reflectance at critical bands was extremely small, and the bands of high correlation were narrow. High spectral and radiance resolution are required to resolve these differences accurately. The best shortwave infrared bands from the leaf scale were not good predictors of chemical content or concentration at the canopy scale; variability in canopy reflectance in the shortwave infrared region was at least an order of magnitude beyond that necessary to detect signals from chemicals. The variability in first-difference log 1/R on the canopy scale was related to the arrangement of trees with respect to direct solar radiation, instrument noise, leaf fluttering, and small changes in atmospheric moisture. [References: 28]
机译:设计了一个实验来确定是否可以在实验室中根据新鲜双叶枫叶的反射光谱(R)光谱预测叶绿素和氮的浓度,如果可以,则预测光谱特征是否与叶绿素和氮浓度或叶绿素的含量相关。简单的枫树幼苗冠层。鲜叶氮和叶绿素的最佳预测因子出现log 1 / R的一阶差分转换,并且所选择的条带与其他研究中发现的相似。短波红外波段是氮的最佳预测指标,可见波段是叶绿素的最佳预测指标。然而,在短波红外区域中,临界波段的反射率绝对差非常小,而高相关波段却很窄。需要高光谱和辐射分辨率才能准确解决这些差异。叶尺度上最好的短波红外波段不能很好地预测冠层尺度上的化学含量或浓度。短波红外区域中冠层反射率的可变性至少比检测来自化学物质的信号所需的数量级大一个数量级。冠层尺度上的一阶对数1 / R的变异性与树木在直射太阳辐射,仪器噪声,叶片颤动和大气湿度的微小变化方面的排列有关。 [参考:28]

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