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首页> 外文会议>International Workshop on Marine Remote Sensing in Northwest Pacific Region; 20041011-12; Beijing(CN) >Quantitative Remote Sensing of Water Constituents in Taihu Lake
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Quantitative Remote Sensing of Water Constituents in Taihu Lake

机译：太湖水体成分定量遥感

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摘要

Remote sensing is an effective technique for quickly monitoring of large-scale water quality. Different from multispectral remote sensing, hyperspectral imaging, or called imaging spectrometry, can acquire images in hundreds of registered, contiguous spectral bands such that for each image pixel it is possible to derive a complete reflectance spectrum. So, hyperspectral remote sensing can provide us more precise information for the water constituents extraction. Additionally, in the last decade, the empirical models have been widely used in the estimation of Water Constituents. In this paper, semi-empirical and analytical models were also established for the remote sensing of water quality in Taihu lake. Analytical models are based on bio-optical model and radioactive-transfer theory, the parameters of which have distinct physical meanings and universal applicability. To meet the high requirements of water quality monitoring in China, a Remote-sensing Environmental Monitoring System (REMS V1.0) is also introduced in this paper. REMS is the first integrated system in the mainland developed to meet the multi-resource, multi-temporal and multi-thematic data processing, analyzing and products distributing in the monitoring of inland water pollution using remote sensing technology in China. REMS provide professional ability to quickly extract the major characters of water resource such as chlorophyll content, Total Suspended Matter (TSM), Yellow Substance, blue algae distribution e tc. In order to improve the precision of water parameters extraction, some new algorithms and functions are also realized and integrated in REMS software system.
机译：遥感是一种快速监测大规模水质的有效技术。与多光谱遥感不同，高光谱成像或称为成像光谱的技术可以获取数百个已记录的连续光谱带中的图像，这样对于每个图像像素，就有可能获得完整的反射光谱。因此，高光谱遥感可以为水的成分提取提供更精确的信息。另外，在过去的十年中，经验模型已被广泛用于水成分的估计中。本文还建立了太湖水质遥感的半经验模型和解析模型。分析模型基于生物光学模型和放射性转移理论，其参数具有独特的物理意义和普遍适用性。为了满足中国对水质监测的高要求，本文还介绍了遥感环境监测系统（REMS V1.0）。 REMS是中国大陆第一个开发的集成系统，可满足中国利用遥感技术对内陆水污染进行监测的多资源，多时间和多主题的数据处理，分析和产品分发。 REMS具有快速提取水资源主要特征的专业能力，例如叶绿素含量，总悬浮物（TSM），黄色物质，蓝藻分布等。为了提高水参数提取的精度，还实现了一些新的算法和功能，并将其集成到REMS软件系统中。

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