基于GOCI影像的巢湖叶绿素a质量浓度变化分析  

Analysis on Variation of Chlorophyll-a Concentration in Chaohu Lake Based on GOCI Image

作　　者：郜薇薇 薛坤[3] 马晨晨[2] 吕海滨 GAO Weiwei;XUE Kun;MA Chenchen;L Haibin(School of Marine Technology and Geomatics,Jiangsu Ocean University,Lianyungang 222005,China;Lianyungang Meteorological Bureau,Lianyungang 222000,China;State Key Laboratory of Lake Science and Environment,Nanjing Institute of Geography and Limnology,Chinese Academy of Sciences,Nanjing 210008,China)

机构地区：[1]江苏海洋大学海洋技术与测绘学院,江苏连云港222005 [2]连云港市气象局,江苏连云港222000 [3]中国科学院南京地理与湖泊研究所湖泊与环境国家重点实验室,江苏南京210008

出　　处：《江苏海洋大学学报（自然科学版）》2022年第1期23-30,共8页Journal of Jiangsu Ocean University:Natural Science Edition

基　　金：江苏海洋大学“测绘科学与技术”重点学科项目;江苏省海洋资源开发研究院开放基金(JSIMR202005)。

摘　　要：遥感技术凭借其监测范围广、成本较低以及实时动态监测的特点,在湖泊水质监测中得到广泛应用。GOCI卫星具有极高的时间分辨率,对巢湖水质变化监测具有极高的使用价值。总结分析了国内外已有的水质遥感监测方面的理论、技术和方法,根据多年巢湖星地同步实验数据,分析巢湖水体光学反射特征,选用GOCI两个数据波段进行分解,利用半经验半分析方法建立了叶绿素a高光谱遥感回归估测模型,初步反演出巢湖叶绿素a质量浓度的空间分布;并使用巢湖实测数据(N=32)进行验证(R^(2)=0.78)。结果表明,该模型可以用于GOCI影像反演叶绿素a质量浓度在巢湖的空间分布,更好地实现巢湖水质动态监测及富营养化污染预警。Remote sensing technology in the current lake water quality monitoring has been widely used with its wide monitoring range,low cost and real-time dynamic monitoring characteristics.The GOCI satellite has extremely high temporal resolution and has extremely high use value for monitoring daily water quality changes in Chaohu Lake.This paper summarizes and analyzes the existing theories,technologies and methods of water quality remote sensing monitoring at home and abroad.Through many years of satellite earth synchronization experimental data of Chaohu Lake,this paper analyzes the optical reflection characteristics of Chaohu Lake water body,selects two data bands of GOCI for decomposition,and establishes a hyperspectral remote sensing regression estimation model of chlorophyll a by using semi empirical and semi analytical method to preliminarily reflect the spatial distribution of chlorophyll-a concentration in Chaohu Lake.The measured data of Chaohu Lake(N=32) was used for verification(R^(2) = 0.78).The results show that the model can be used to retrieve the spatial distribution of chlorophyll-a concentration in Chaohu Lake from GOCI images,and better realize the dynamic monitoring of water quality and the early warning of eutrophication pollution in Chaohu Lake.

关 键 词：GOCI 叶绿素a质量浓度 遥感 巢湖 

分 类 号：X524[环境科学与工程—环境工程] X87