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机构地区:[1]黑龙江工程学院测绘工程学院,黑龙江哈尔滨150050
出 处:《黑龙江工程学院学报》2011年第1期17-19,共3页Journal of Heilongjiang Institute of Technology
基 金:黑龙江省教育厅资助项目(11551414)
摘 要:高光谱遥感是当前内陆水监测的一个重要发展趋势,是有效地捕捉这些水体光谱信息的必要手段。在遥感空间信息技术支持下对内陆积水沉陷区的水体特征进行分析,研究叶绿素a及总悬浮物浓度随着水体深度变化的特征,分析不同叶绿素a浓度、悬浮物浓度以及悬浮物粒径对水体光谱特性的影响特点;同时还对底质对水深信息遥感提取的影响特点进行分析。在此基础上,构建水深遥感反演的定量模型。Hyperspectral remote sensing is currently an important inland water monitoring trends,and effectively capture the spectral information of these water bodies the necessary means.Spatial information technology to support remote sensing of inland water under the subsidence of the water body characteristics were analyzed,of chlorophyll-a and total suspended solids concentration with the characteristics of the water depth changes.Analysis of different chlorophyll-a concentration,suspended particle size of suspended solids concentration and spectral properties of the impact of water features,and the substrate on the impact of extraction of depth information of remote sensing characteristics were analyzed.On this basis,a water depth quantitative remote sensing model is built and it provides some reference value for water quality monitoring and measurement of water depth.
分 类 号:P237[天文地球—摄影测量与遥感]
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