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遥感技术与应用  2017, Vol. 32 Issue (5): 825-834    DOI: 10.11873/j.issn.1004-0323.2017.5.0825
模型与反演     
新丰江水库叶绿素浓度时空分布特征的遥感反演研究
吴仪1,邓孺孺1,2,3,秦雁1,梁业恒1,熊龙海1
(1.中山大学 地理科学与规划学院,广东 广州 510275;
2.广东省水环境遥感监测工程技术研究中心,广东 广州 510275;
3.广东省城市化与地理环境空间模拟重点实验室,广东 广州  510275)
The Study of Spatial-Temporal Characteristics for Chlorophyll Concentration derived from Remote Sensing Image in Xinfengjiang Reservoir
Wu Yi1,Deng Ruru1,2,3,Qin Yan1,Liang Yanheng1,Xiong Longhai1
(1.School of Geographic Science and Planning,Sun Yat\|sen University,Guangzhou 510275,China;
2.Guangdong Engineering Research Center of Water Environment Remote Sensing Monitoring,Guangzhou 510275,China;
3.Guangdong Provincial Key Laboratory of Urbanization and Geo\|Simulation,Guangzhou 510275,China)
 全文: PDF(8103 KB)  
摘要:
研究水体的辐射传输机理,分析水中叶绿素、悬浮泥沙、耗氧性有机物对入射光的吸收和散射作用,求得遥感数据与水中物质浓度的定量关系,据此推导叶绿素浓度遥感反演模型。针对环境卫星数据进行大气纠正等预处理后应用模型反演新丰江水库的叶绿素浓度,反演结果与实测数据的相关系数为0.94,平均相对误差66.67%,精度较高,由此可知水库库心全年叶绿素浓度较低,库湾地区叶绿素浓度较高,实地考察发现与该地区大量的网箱养殖有关。本文的模型选取多时相数据,综合考虑多种水质因素,采用多波段求解,精度较高。
关键词: 叶绿素浓度遥感反演模型环境卫星新丰江水库    
Abstract:
By investigating the law of radiative transfer and the process of scattering and absorption from suspended sediment,chlorophyll and oxygen\|consuming organics,this paper builds the model,it formulate the functional relationship between the reflection and the concentration of this three kinds of water quality parameters,therefore retrieve the concentration.With this model,the chlorophyll concentration in Xinfengjiang Reservoir can be inversed,then using the measured data to verify the inversion result,the correlation coefficient between them equals 0.94,and the average relative error equals 66.67%.By analyzing the characteristics of the chlorophyll spatial structure and its time distribution based on the result,we find out that the lowest concentration of the chlorophyll is always existing in the center area during the whole year,and the area near Xinfengjiang River and Zhongxinshui River has the highest concentration,associated with cage culture.Multiple factors has been considered in the model building in this paper,and hence multi\|spectral remote sensing data were successfully applied to improve the calculation accuracy.
Key words: Chlorophyll inversion model    Environmental satellites    Xinfengjiang reservoir
收稿日期: 2016-08-18 出版日期: 2017-11-02
:  TP 79  
基金资助: 广东省省级科技计划项目(2017B020216001),中国博士后科学基金资助项目(2017M612792),广东省水利科技创新项目(2016-08),中山大学青年教师培育项目(17lgpy41)。

作者简介: 吴仪(1994-),女,湖南桃源人,硕士研究生,主要从事环境遥感研究。Email:51wialien@gmail.com。
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吴仪
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引用本文:

吴仪,邓孺孺,秦雁,梁业恒,熊龙海. 新丰江水库叶绿素浓度时空分布特征的遥感反演研究[J]. 遥感技术与应用, 2017, 32(5): 825-834.

Wu Yi,Deng Ruru,Qin Yan,Liang Yanheng,Xiong Longhai. The Study of Spatial-Temporal Characteristics for Chlorophyll Concentration derived from Remote Sensing Image in Xinfengjiang Reservoir. Remote Sensing Technology and Application, 2017, 32(5): 825-834.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2017.5.0825        http://www.rsta.ac.cn/CN/Y2017/V32/I5/825

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