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Measuring surface water in soil with light reflectance

机译:用光反射法测量土壤中的地表水

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The light absorbed by water in soil and plants is readily determined using hyperspectral full-range imagery and field spectrometers. The full absorption of light can be accounted for by fitting the shape of water absorptions at the same time as other diagnostic bands using multiple Gaussian functions. This research is particularly important in soils due to the loss of mineral band depth with the spread of the fundamental water just beyond the SWIR. The relationship of the albedo lost to band depth, for the same mineral media, is nonlinear. By including water and mineral absorptions in the same fitting, the accuracy of the mineral abundance estimates are shown substantially improved. In addition, measurements of absorption change within the soil surface are so sensitive to water content that these bands as indexes and absorption fitting are excellent predictors of the amount of organic matter. Spectral model is shown for determining water content based water indexes and the fitted SWIR band as a good predictors of soil biological crust, such as lichen and cyanobacteria, in hyperarid soils of the Mojave Desert.
机译:土壤和植物中水吸收的光很容易使用高光谱全范围成像仪和现场光谱仪确定。通过使用多个高斯函数,通过与其他诊断谱带同时拟合吸水率的形状,可以说明光的完全吸收。这项研究在土壤中尤为重要,因为随着基本水的扩散,矿物质带深度的损失正好超出了SWIR。对于相同的矿物介质,反射率与波段深度的关系是非线性的。通过将水和矿物质的吸收量包括在同一拟合中,可以显着提高矿物质丰度估计的准确性。此外,对土壤表面吸收变化的测量对水含量非常敏感,以至于这些作为指标和吸收拟合的谱带可以很好地预测有机物的含量。显示了光谱模型,用于确定基于水分的水分指数和拟合的SWIR波段,这些波段可以很好地预测莫哈韦沙漠高干旱土壤中的生物地壳,例如地衣和蓝细菌。

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