Remote estimation of chlorophyll content in higher plant leaves
Remote estimation of chlorophyll content in higher plant leaves
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DOI：
10.1080/014311697217558
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发表时间：
1997-08-01
影响因子：
3.4
通讯作者：
Merzlyak, MN
中科院分区：
文献类型：
--
作者：
Gitelson, AA;Merzlyak, MN
利用各种仪器测量可见光和近红外波段的反射率和吸收光谱，以及来自不同气候区域的几个无关物种的叶绿素含量，制定了非破坏性估计叶绿素含量的指标。提出的新算法是对叶绿素含量变化高度敏感(540至630 nm和700 nm左右)和不敏感(近红外)的光谱区域的反射率百分比之间的简单比率：R-NIR/R-700和R-NIR/R-550。所开发的由叶片光学信息预测叶片化学的算法在9种植物上得到了验证，其叶绿素含量范围为0.27~62.9µg·cm(-2)。叶绿素预报的误差小于4.2微克厘米(-2)。绿色和红色(近700 nm)通道的使用使NDVI对叶绿素含量的敏感度提高了约5倍。
Indices for the non-destructive estimation of chlorophyll content were formulated using various instruments to measure reflectance and absorption spectra in visible and near-infrared ranges, as well as chlorophyll contents from several non-related species from different climatic regions. The proposed new algorithms are simple ratios between percentage reflectance at spectral regions that are highly sensitive (540 to 630 nm and around 700 nm) and insensitive (near-infrared) to variations in chlorophyll content: R-NIR/R-700 and R-NIR/R-550. The developed algorithms predicting leaf chemistry from the leaf optics were validated for nine plant species in the range of chlorophyll content from 0.27 to 62.9 mu g cm(-2). An error of less than 4.2 mu g cm(-2) in chlorophyll prediction was achieved. The use of green and red (near 700 nm) channels increases the sensitivity of NDVI to chlorophyll content by about five-fold.