基于CHRIS数据的三峡坝区水体叶绿素浓度遥感监测  

Determination of chlorophyll concentration in Three Gorges Dam using CHRIS/PROBA image data

作　　者：盖利亚[1,2] 刘正军[1] 张继贤[1] 

机构地区：[1]中国测绘科学研究院对地观测技术国家测绘局重点实验室,北京100039 [2]中国地质调查局水文地质环境地质调查中心,河北保定071051

出　　处：《测绘科学》2010年第4期28-30,22,共4页Science of Surveying and Mapping

基　　金：国家科技部科研院所社会公益研究专项项目(2004DIB3J107);地理空间信息工程国家测绘局重点实验室经费资助项目(A1714);中科院遥感应用研究所北京师范大学遥感科学国家重点实验室开放研究基金课题资助

摘　　要：本文探讨利用新一代微卫星遥感数据CHRIS/PROBA定量反演三峡坝区叶绿素(Chl)浓度的方法。首先对CHRIS/PROBA高光谱影像进行去条带、几何校正、辐射校正、大气校正等预处理,得到水体像元的遥感反射率;然后结合三峡坝区水质,分析了悬浮物对叶绿素浓度反演的影响,采用半经验回归方法建立了叶绿素浓度反演算法;最后在对算法验证的基础上,将模型应用到经过一系列预处理的影像中,得到三峡坝区叶绿素浓度的遥感反演结果,并对反演结果进行了分析。分析表明,CHRIS/PROBA影像在三峡坝区水质的遥感监测中是可用的,且反演结果精度较高。The remote sensing methods of chlorophyll concentration quantitative inversion in Three Gorges Dam based on CHRIS/ PROBA data were mainly discussed in this paper. Strip removing, geometric correction, radiation correction, and atmospheric correc- tion of CHRIS/PROBA image were processed firstly, and then the remote sensing reflectance was acquired. According to the water characteristics of Three Gorges Dam area, the authors analyzed the influences of suspended substance on the retrieval of chlorophyll concentration, and established the retrieval algorithm of chlorophyll concentration with the semi-empirical linear regression method. Working with the remnant samples the precision of the model was tested and proved reliable. At last, they applied the model on the preprocessed images, the distribution of chlorophyll concentration retrieved was consistent with the results measured. Analyses showed that CHRIS/PROBA images had the potential to be applied in water quality remote sensing monitoring of Three Gorge Dam area.

关 键 词：CHRIS/PROBA 叶绿素 反演 三峡坝区 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置]