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| 基于Hyperion数据的太湖水体叶绿素a浓度遥感估算 | |
| 引用本文： | 闻建光,肖青,杨一鹏,柳钦火,周艺.基于Hyperion数据的太湖水体叶绿素a浓度遥感估算[J].湖泊科学,2006,18(4):327-336. |
| 作者姓名： | 闻建光 肖青 杨一鹏 柳钦火 周艺 |
| 作者单位： | 1. 中国科学院遥感应用研究所遥感科学国家重点实验室,北京,100101 2. 中国科学院遥感应用研究所遥感科学国家重点实验室,北京,100101;核工业北京地质研究院遥感重点实验室,北京,100029 3. 中国环境监测总站,北京,100029 |
| 基金项目： | 中国科学院知识创新工程项目 |
| 摘 要： | 通过对2004年8月19日太湖Hyperion高光谱遥感数据的处理和分析,文章首先采用比值和一阶微分处理技术进行了叶绿素a浓度的估算．为了弥补此两种方法在模型的适用性和通用性方面的不足,本文尝试了利用混合光谱分析模型进行太湖水体叶绿素a浓度的提取和成图．实验结果说明高光谱遥感数据Hyperion可以进行水体叶绿素a浓度的监测,并且作为高光谱处理技术之一的混合光谱分析技术是水体叶绿素a浓度估算的另一条佳径． |
| 关 键 词： | 高光谱 Hyperion数据 水质遥感 混合光谱分析 太湖 |
| 收稿时间： | 2005-08-10 |
| 修稿时间： | 2005-11-06 |
Remote sensing estimation of aquatic chlorophyll-a concentration based on Hyperion data in Lake Taihu |
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| WEN Jianguang,XIAO Qing,YANG Yipeng,LIU Qinhuo and ZHOU Yi.Remote sensing estimation of aquatic chlorophyll-a concentration based on Hyperion data in Lake Taihu[J].Journal of Lake Science,2006,18(4):327-336. | |
| Authors: | WEN Jianguang XIAO Qing YANG Yipeng LIU Qinhuo and ZHOU Yi |
| Institution: | 1 State Key lab of Remote Sensing Science, Institute of Remote Sensing Applications, CAS, Beijing 100101 ,P. R. China;2Beijing Research Institute of Uranium Geology, Beijing 100029 ,P. R. China;3China National Environmental Monitoring Center, Beijing 100029, P. R. China |
| Abstract: | Processed and analyzed the hyperspectral data-Hyperion on August 19th 2004, we estimated chloro-phyll-a concentration using ratio and differential coefficient method in Lake Taihu. But these two models' applicability confined in single area and single phase. In this paper we used mixing spectral analysis model for extracting chlorophyll-a concentration and mapping the distribution of chlorophyll-a concentration. The result shows that the new style of remote sensing data Hyperion can be used for monitoring chlorophyll-a concentration, and that mixing spectral analysis is an optimal method for estimating water chlorophyll-a concentration. |
| Keywords: | Hyperspectrum Hyperion data remote sensing of water quality mixing spectral analysis Lake Taihu |
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