基于TM数据渤海湾叶绿素浓度反演算法研究  

Study on Algorithm of Chlorophyll Concentration Retrieval in Bohai Bay Based on TM Data

作　　者：郑小慎[1] 林培根[1] 

机构地区：[1]天津市海洋资源与化学重点实验室天津科技大学海洋科学与工程学院,天津300457

出　　处：《天津科技大学学报》2010年第6期51-53,共3页Journal of Tianjin University of Science & Technology

基　　金：天津市自然科学基金资助项目(08JCYBJC10500);天津市重点自然科学基金资助项目(09JCZDJC25400)

摘　　要：海洋叶绿素浓度已成为衡量浮游植物的生物量和富营养化程度的最基本的指标.利用2005年4月13日Landsat-5/TM数据和同步实测数据反演了渤海湾叶绿素浓度.对TM数据进行几何校正和大气校正预处理后,建立9种波段组合模型,分别对TM图像进行模型运算.结合实测数据,建立相应的回归方程,在其中选取R2(拟合度)和R(相关性)最大的(tm4-tm3)/(tm4+tm3)波段组合进行反演,并将反演结果与实测数据作相对误差分析,实验结果表明,4和3波段组合建立的回归模型适合于渤海湾叶绿素浓度的反演.Ocean chlorophyll concentration has become the most basic indicators of measure of phytoplankton biomass and eutrophication.This paper established the inverse model of the Bohai bay chlorophyll concentration using the remote sensing data of Landsat-5/TM and the measured data on April 13,2005.Firstly the TM data were preprocessed by geometric correction and atmospheric correction,the 9 kinds combined band models of TM image were built up to calculate respectively,then using the measured data and the result of model calculation,the regression equations was created,the band combination of（tm4-tm3）/（tm4＋tm3）was selected,which R2（fitting）and R（relevance）is the largest.Last the chlorophyll concentration was retrieved using the above band combination.The relative error of the inversion results and measured data shows that 4 and 3-band combination is appropriate to establish the regression model for the inversion of the Bohai bay chlorophyll concentrations.

关 键 词：遥感 TM数据 叶绿素浓度 

分 类 号：TP751[自动化与计算机技术—检测技术与自动化装置]