| 湖泊水色遥感参数获取与算法分析 |
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| 引用本文： | 马荣华,唐军武.湖泊水色遥感参数获取与算法分析[J].水科学进展,2006,17(5):720-726. |
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| 作者姓名： | 马荣华 唐军武 |
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| 作者单位： | 1.中国科学院南京地理与湖泊研究所, 江苏, 南京, 210008; |
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| 基金项目： | 江苏省自然科学基金;中国科学院南京地理与湖泊研究所科研基金;青年科技创新人才学术带头人资助项目 |
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| 摘 要： | 湖泊物质组成的复杂性使得湖泊水色遥感难于对海洋Ⅰ类水体的水色遥感,解决难点的关键是湖泊固有光学特性的高精度测量,建立表观光学特性与固有光学特性的关系即生物光学模型是较为适合湖泊水色遥感的技术方法,其中涉及到大气、水体以及水气界面处的辐射传输定律,而去除大气影响是提高湖泊水色反演精度的关键技术之一,分析了获取离水辐亮度所涉及的内容和算法,概括了目前适用于湖泊水色遥感反演的大气校正方法,详细分析了固有光学量的计算方法以及实现湖泊水色遥感的正演和反演的步骤和方法;最后提出了实现我国湖泊水色遥感需要重点研究的问题。
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| 关 键 词： | 湖泊 Ⅱ类水体 水色遥感 |
| 文章编号： | 1001-6791（2006）05-0720-07 |
| 收稿时间： | 2004-11-04 |
| 修稿时间： | 2005-03-20 |
Remote sensing parameters acquisition and algorithm analysis of lake color |
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| MA Rong-hua,TANG Jun-wu.Remote sensing parameters acquisition and algorithm analysis of lake color[J].Advances in Water Science,2006,17(5):720-726. |
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| Authors: | MA Rong-hua TANG Jun-wu |
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| Affiliation: | 1.Nanjing Institute of Geography and Limnology, CAS, Nanjing 210008, China;2.National Satellite Ocean Application Service, Beijing 100081, China |
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| Abstract: | Lake water is the case Ⅱ water,whose water color is influenced by three major components,namely,phytoplankton pigment,suspended sediment and yellow substance. So the optical properties,including apparent optical properties (AOPs)and the inherent optical properties(IOPs),of lake waters are more complex than ones of case Ⅰ water. One of the key solutions is under investigation and measurement. One of the ways to interpret the lake color is the empirical regression, and another is semi-analytical,i.e. bio-optical model method. The latter,concerned with the atmosphere,the water-body and the relationship between the two,is better for remote sensing of lake the water quality. It is the key technique for improving the precision of inversing the lake color to correct the atmosphere influence,and the methods are reviewed. And the water-leaving radiance is analyzed from its contents and algorithms. Then how to acquire IOPs is analyzed in detail. Subsequently, the methods and steps to implement the former model and inverse it are summarized. Finally,the key problems concerned with remote sensing of lake water color in China are put forward. |
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