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利用TM影像分析潮河与密云水库入库口处泥沙的空间分布
引用本文:程承旗,马廷,王立明,杨德海.利用TM影像分析潮河与密云水库入库口处泥沙的空间分布[J].地理科学,2001,21(5):447-451.
作者姓名:程承旗  马廷  王立明  杨德海
作者单位:1. 北京大学遥感与GIS技术应用研究所,
2. 中国林业科学院森林生态环境研究所,
基金项目:国家 973重点项目 (G19990 45 70 8)
摘    要:河流携带的泥沙进入水库后 ,由于河流水体与水库水体的共同作用而在河口区产生沉降。理论上水体中的泥沙含量是与距入库口处的空间距离相关的。并且 ,根据实验与模拟的结果 ,在可见光的任一波段内 ,水体中的含沙量与水面反射率具有一定的相关关系。TM影像的第二、三波段刚好位于含沙水体反射光谱的肩部和峰值部分 ,可以准确地反映水体的含沙情况。以潮河与密云水库的交接处为例 ,在泥沙含量与反射率负指数关系式的基础上 ,利用两个时相的TM影像 ,通过泥沙沉降过程的主轴作用线 ,采用回归模拟和经验公式相结合的办法 ,建立了泥沙沉降过程的遥感空间分布模型 ,讨论了模型中各参数的具体含义 ,描述水体中泥沙含量与沉降的情况。最后 ,采用多个作用轴线进行拟和与空间插值分析 ,建立了水体中泥沙含量的空间分布模拟图 ,经过检测 ,该图较好地反映了河流入库处水体中的泥沙含量情况 ,为遥感技术在监测水体含沙量方面的应用提供了技术基础。

关 键 词:泥沙沉降  TM影像  空间分布
文章编号:1000-0690(2001)05-0447-05
修稿时间:2001年6月8日

Estimating the Semimetals Effect of Chaohe River to Miyun Reservoir Usine Multi-temporal TM Images
CHENG Cheng-qi ,MA Ting ,WANG Li-ming ,YANG De-hai.Estimating the Semimetals Effect of Chaohe River to Miyun Reservoir Usine Multi-temporal TM Images[J].Scientia Geographica Sinica,2001,21(5):447-451.
Authors:CHENG Cheng-qi  MA Ting  WANG Li-ming  YANG De-hai
Institution:CHENG Cheng-qi 1,MA Ting 1,WANG Li-ming 2,YANG De-hai 1
Abstract:The sediment, which is taken by rivers, will subside in the corporate action of river and reservoir on the estuarine area, when it enters into the reservoir. In theory, the quantity of sediments in water is correlated with the distance to the reservoir entrance. At the same time, the quantity of sediments in water has a certain relation with the reflection of water in every band of visible light, according to the result of experimentation and simulation. It happens that, the second and third bands of TM image lie just in the caroming and peak of reflection spectrum of the sandy water, thus the quantity of sand in water can be exactly reflected. Then we can make use of this characteristic to quantify the sediments in water. In this paper, the boundary of Chaohe River and Miyun Reservoir is taken an example. On the basis of the equation of the quantity of sediments and the negative exponent of reflection, together with multi-temporal TM image, a remote sensing spatial-distribution model of sedimentation course has been created, in which the principal axis of sedimentation course is researched and the combined method of recursive simulation and experiential formula is adopted. The meaning of each parameter of the model is discussed in order to describe the quantity and sedimentation of sediments in water. Finally, in the way of multi axis' simulation and spatial insertion analysis, the spatial distributed stimulant picture of the quantity of sediments in water is portrayed. After examination, this picture preferably reflects the quantity of sediments in water on the entrance of the reservoir, which provides a technical foundation for the remote sensing technology in inspecting the quantity of sediments in water.
Keywords:Sediment  TM images  Spatial distribution
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