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机构地区:[1]中煤航测遥感局遥感应用研究院,西安710054 [2]中科院上海技术物理研究所,上海200083
出 处:《国土资源遥感》2003年第3期10-14,共5页Remote Sensing for Land & Resources
摘 要:以黄土高原几类常见土壤为试验品,定量研究了不同泥土含量与水体光谱反射率的关系,探索了利用反射率反演水体深度的方法。文中还介绍了利用高光谱遥感技术分析水污染类型和强度的方法。最后以靖边县城的芦河为例,分析了高光谱遥感探测水污染程度的可行性。This paper has described the quantitative relationship between reflectance of water and its soil content. The soils are of several main kinds collected along the Yanhe River. With hyperspectral remote sensing technology, it seems possible to detect soil content in moving water and sea water. It is detected that the content of all sorts of soils in water and the water reflectance have a good line regression relationship in the ranges of 1 550-1 850 nm and 1 350-1380 nm. Tests also show that the water reflectance between 368 nm and 831 nm can effectively demonstrate the water depth. Based on field survey and sample analysis, it is held that, instead of having a close relationship with the original reflectance of a signal band, the pollution content of water is related to the reflectance ratio of two certain bands, which might be determined by the characteristics of the pollutant and the degree of water pollution. With the Luhe River in Jingbian County as an example, this paper has studied the possibility of using hyperspectral remote sensing to detect the degree of pollution. The water spectra can not only reflect the relative pollution degree but also determine the type of water pollution.
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