矿区水污染遥感识别研究
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TP75 X52

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国家自然科学基金项目(40272055).


Study on Remote Sensing Identification of Water Pollution in a Mining Area
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    摘要:

    矿山水污染严重影响了矿区居民的身体健康,其现状调查十分重要。在详细分析野外实测水体光谱特征的基础上,利用新型的多光谱ASTER遥感数据,采用光谱角制图技术,提取江西某铜矿区水污染信息并生成该矿区的三维立体模型,获取矿区水污染现状和成因。为矿区污染治理提供及时、准确和大尺度的遥感信息,从而有效地实现矿区污染动态监测。

    Abstract:

    The Water pollution in a mining area is making bad influence no the health of local residents,therefore,it will become very important to investigate the situation of the water pollution.This paper detailedly analyzes the water's spectral characteristics obtained by field survey in some copper mine,Jiangxi province. Based on this,ASTER remote sensing data is chosen according to the requirement of the project.Subsequently,the water pollution information is extracted using spectral angle mapper(SAM) method,and a three dimension image model is generated in order to better interpret the situation and cause of water pollution.The remote sensing identification of water pollution can provide timely,exact and large-scale information for the control of environmental pollution so as to effectively realize the dynamic monitoring of environmental pollution in the mining area.

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卢霞 刘少峰 胡振琪 林炎.矿区水污染遥感识别研究[J].矿业研究与开发,2006,(4):89-92

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  • 收稿日期:2005-11-17
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