新丰江水库叶绿素浓度时空分布特征的遥感反演研究  

The Study of Spatial-Temporal Characteristics for Chlorophyll Concentration derived from Remote Sensing Image in Xinfengjiang Reservoir

作　　者：吴仪[1] 邓孺孺[1,2,3] 秦雁 梁业恒[1] 熊龙海[1] 

机构地区：[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

出　　处：《遥感技术与应用》2017年第5期825-834,共10页Remote Sensing Technology and Application

基　　金：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)

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。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.

关 键 词：叶绿素浓度遥感反演模型 环境卫星 新丰江水库 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置]