基于环境小卫星CCD数据对太湖地区叶绿素a浓度的反演  

The Inversion of Chlorophyll a Concentration in Taihu Lake Region Based on Environment Small Satellite CCD Data

作　　者：史鹏辉 李云格 姜寒 SHI Penghui(College of Water Resources and Architectural Engineering,Northwest A&F University,Yangling 712100,China)

机构地区：[1]西北农林科技大学水利与建筑工程学院,陕西杨凌712100

出　　处：《安徽农学通报》2021年第17期30-33,共4页Anhui Agricultural Science Bulletin

摘　　要：针对我国湖泊水体富营养化监测问题,以太湖为研究对象,使用了快速、低成本、大范围的遥感技术反演太湖水体中的叶绿素a含量。以环境小卫星CCD数据和实测数据为研究基础,使用波段比值法建立了5种叶绿素a浓度回归模型。结果表明:多项式反演模型具有最佳的拟合效果,其相关系数R=0.8845;对该反演模型进行合理性验证,并将其运用在太湖地区,最终反演了该水域的叶绿素a浓度。这表明波段比值法构建的多项式反演模型可以较为准确地反演出太湖地区的叶绿素a浓度值。Aiming at the problem of eutrophication monitoring of lake water in China, this paper takes Taihu Lake as an example and uses rapid, low-cost and wide-scale remote sensing technology to retrieve chlorophyll a content in Taihu Lake water body. On the basis of the CCD data and measured data of environmental small satellites, five regression models of chlorophyll a concentration were established by band ratio method. Among them, polynomial inversion model has the best fitting effect, and its correlation coefficient R=0.8845. After that, the rationality of the inversion model is verified and applied to Taihu Lake area, and the chlorophyll a concentration in this water area is finally retrieved. As a result, the polynomial inversion model constructed by band ratio method can accurately reverse the chlorophyll a concentration in Taihu Lake area.

关 键 词：遥感 叶绿素A 反演模型 波段比值法 CCD 

分 类 号：X832[环境科学与工程—环境工程] TP79[自动化与计算机技术—检测技术与自动化装置]