基于TM影像的乌梁素海叶绿素a浓度反演  

INVERSION OF CHLOROPHYLL-A CONCENTRATION BASED ON TM REMOTE SENSING IMAGE IN WULIANGSUHAI LAKE

作　　者：张丽华[1] 戴学芳 包玉海[1] 武捷春[2] 于长水 

机构地区：[1]内蒙古师范大学内蒙古自治区遥感与地理信息系统重点实验室,呼和浩特010022 [2]内蒙古工业大学理学院,呼和浩特010051 [3]内蒙古自治区环境科学研究院,呼和浩特010020

出　　处：《环境工程》2015年第6期133-138,共6页Environmental Engineering

基　　金：内蒙古自治区自然科学基金项目(2013MS0615;2013MS0107);"十二五"国家科技支撑计划项目(2013BAK05B01)

摘　　要：首先选取预处理后乌梁素海TM影像的单波段及波段组合与实测叶绿素a浓度进行分析,发现相关性很低。然后,结合乌梁素海的水利条件和自身特点,把湖区分为两个区,发现波段组合(TM1+TM2+TM4)/TM3和TM4/TM3与叶绿素a浓度有较高的相关性。最后,选取误差较低的波段组合(TM1+TM2+TM4)/TM3建立线性模型,实时、快速地反演乌梁素海湖区叶绿素a浓度,与实地情况吻合,为乌梁素海"黄苔"预警提供理论依据。In this paper,the correlation between band combinations of Landsat5 / TM image and chlorophyll-a concentration has been studied after the image pre-processing of the TM of 23 rd July,2009,and the correlation was low. Then the Wuliangsuhai Lake was divided into two areas according to water conservancy conditions and own characteristics of the lake,and the correlation between( TM1 + TM2 + TM4) / TM3 & TM4 / TM3 and chlorophyll-a concentration was high. Finally,chlorophyll-a concentration of Wuliangsuhai Lake was inversed by low error model which was established by( TM1 + TM2 +TM4) / TM3. The model could accurately estimate chlorophyll-a concentration of Wuliangsuhai Lake, and satisfy the requirement for a real-time and rapid monitoring of chlorophyll-a concentration. This research will provide theoretical basis to dynamic monitoring and early warning of 'Huang tai'algal bloom.

关 键 词：叶绿素A浓度 遥感反演 乌梁素海 TM 

分 类 号：X524[环境科学与工程—环境工程] X87