基于CBERS-2卫星数据的艾比湖浮游植物生物量的反演研究

以艾比湖湖区为研究对象,利用CBERS|2卫星影像的光谱信息分析了遥感影像提取的各因子与浮游植物实测生物量之间的相关关系,建立了相关性显著的遥感因子与浮游植物生物量的线性和非线性回归模型。通过对比分析和残差分析得到最优模型,对艾比湖进行了浮游植物生物量的遥感反演,分析湖区浮游植物生物量的分布特征并估算湖体浮游植物生物总量。艾比湖浮游植物生物量的最优估测模型是二元线性回归模型:Y=3.819-0.027(G-B)-0.04(G-R),其拟合度为0.832,平均残差系数为6.9%,艾比湖湖体浮游植物的总生物量为9.95×10⁵ kg。利用遥感方法研究艾比湖浮游植物的生物量对于艾比湖水域生物估产及其生物量消长规律,以及艾比湖生态系统具有重要意义。研究分析艾比湖生物量的空间分布特征,为艾比湖水体大范围,快速,长期的动态监测和获取浮游生物信息和水质参数提供了有力依据。

An Inversion Research of Phytoplankton Biomass of Ebinur Lake based on Data of CBERS-2

This paper takes Ebinur Lake as the research object.In order to establish the linear and nonlinear regression models which are significant correlation between phytoplankton biomass and remote sensing factors,the correlation between remote sensing of various factors and phytoplankton biomass is analyzed based on spectral data of CBERS-2.The optimal model that is used to inverse Ebinur Lake phytoplankton biomass is selected by result comparison and residual analysis,and make biomass production map which is used to analyze the distribution of phytoplankton biomass and estimate the total phytoplankton biomass in Ebinur Lake.The optimal model is for the independent variable binary linear regression model:Y=3.819-0.027 (G-B)-0.04(G-R),its degree of fitting is 0.832,and the average residual coefficient is 6.9%.Ebinur Lake phytoplankton biomass total is 9.95×10⁵ kg.Using remote sensing means to study Ebinur Lake phytoplankton biomass has important significance in Ebinur Lake biological yield estimation,its biomass growth rule and Ebinur Lake ecological system.The analysis of the space distribution features of Ebinur Lake phytoplankton biomass provides powerful basis for Ebinur Lake wide range,fast,long|term dynamic monitoring and obtains plankton information and water quality parameters.