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The Spectral and Image Characteristics of Vegetation in the Presence of Heavy Metals in Southern China

机译:南方重金属存在的植被的光谱和图像特征

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The principle and methodology to monitor the heavy metal pollution using hyperspectral remote sensing are put forwardbased on the study areas, copper mine in De-Xing and tin ore in GeJiu, and selected plants, China Sumac, SweetWormwood Herb, and Nephrolepis Cordifolia. In the areas defined by former information, vegetation samples andcorresponding spectral data are gathered. The samples are then analyzed in chemical lab, telling us to what extent thevegetation is polluted by heavy metal. The spectral curves are also processed, and some spectral parameters are extracted,such as reflectance, blue-shift extent, position of red-edge, vegetation index, band-depth. Then the regression model fromspectral characteristic parameters to heavy metal content can be built. At last, the conclusion can be attained. In coppermine area, the vegetation is polluted by seven kinds of heavy metals. As far as China Sumac, the reflectance of red bandcorrelates the Pb content well. The reflectance of all study plants at 1240nm and 725/675(nm) correlates heavy metalcontent well. The reflectance of 450nm, 550nm, 670nm, 760nm, and 1240nm can be liner combined as a parameter tomonitor heavy metal pollution. Besides, some band-depth can also be combined as parameters using"Enter". In a word,as an advanced technique to monitor environmental pollution, hyperspectral remote sensing has wild perspective.
机译:在Gejiu的德兴和锡矿石铜矿的研究领域提出了使用高光谱遥感的重金属污染的原理和方法,并在Gejiu,以及植物,中国舒适,甜甜虫草本和肾病·辛辣玉米玉米。在由以前信息定义的区域中,收集植被样本和相应的光谱数据。然后将样品分析在化学实验室中,告诉我们TheVeget的程度在多大程度上被重金属污染。还处理光谱曲线,提取一些光谱参数,例如反射率,蓝换点,红边的位置,植被指数,带深。然后可以建立从光谱特性参数到重金属含量的回归模型。最后,可以获得结论。在铜矿区,植被受七种重金属污染。就中国Sumac而言,红色的反射率并良好地带来了PB含量。所有研究植物的反射率在1240nm和725/675(nm)中均良好地关联重金属Content。 450nm,550nm,670nm,760nm和1240nm的反射率可以作为参数决心重金属污染组合衬垫。此外,一些带深也可以使用“Enter”作为参数组合。总之,作为监测环境污染的先进技术,Hyperspectral遥感具有狂野的视角。

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