基于GF6-WFV数据的中国东部典型湖库叶绿素a浓度反演  

Chlorophyll-a Concentration Inversion based on GF6-WFV Data in a Typical Lake Reservoir in Eastern China

作　　者：卜博 张方方 李俊生 王胜蕾 李景宜 谢娅 王超[6] 桑瑞丹 田彬[8] BU Bo;ZHANG Fangfang;LI Junsheng;WANG Shenglei;LI Jingyi;XIE Ya;WANG Chao;SANG Ruidan;TIAN Bin(Shaanxi Provincial Key Laboratory of Disaster Monitoring and Mechanism Simulation/College of Geography and Environment,Baoji University of Arts and Sciences,Baoji 721013,China;International Research Center of Big Data for Sustainable Development,Beijing 100094,China;Key Laboratory of Digital Earth,Institute of Aerospace Information Innovation,Chinese Academy of Sciences,Beijing 100094,China;University of Chinese Academy of Sciences,Beijing 100049,China;School of Geosciences and Resources,China University of Geosciences(Beijing),Beijing 100083,China;Institute of Geography,Henan Academy of Sciences,Zhengzhou 450052,China;Henan Polytechnic University,Jiaozuo 450000,China;China University of Mining and Technology,Xuzhou 221116,China)

机构地区：[1]宝鸡文理学院地理与环境学院/陕西省灾害监测与机理模拟重点实验室,陕西宝鸡721013 [2]可持续发展大数据国际研究中心,北京100094 [3]中国科学院空天信息创新研究院数字地球重点实验室,北京100094 [4]中国科学院大学,北京100049 [5]中国地质大学(北京)地球科学与资源学院,北京100083 [6]河南省科学院地理研究所,河南郑州450052 [7]河南理工大学,河南焦作450000 [8]中国矿业大学,江苏徐州221116

出　　处：《遥感技术与应用》2024年第1期170-184,共15页Remote Sensing Technology and Application

基　　金：可持续发展大数据国际研究中心主任青年基金(CBAS2022DF005);国家重点研发计划项目(2022YFC3204101、2022YFC3800700)。

摘　　要：高分六号中分辨率宽幅相机(GF6-WFV)设计了两个红边波段,具有水体叶绿素a浓度监测的潜力。实验选取官厅水库、陆浑水库和白洋淀等6个中国东部典型湖库为研究区,获取141个采样点实测光谱和叶绿素a浓度数据。基于实测数据对4种常用的叶绿素a浓度反演半经验模型进行参数优化和模型精度验证,选取最优反演模型。结果表明,GF6-WFV数据新增红边Ⅰ波段(B5:710 nm)和红波段(B3:660 nm)构建的两波段比值模型反演精度较高,相关系数平方(R^(2))为0.89,平均相对误差(MRE)为34.71%,均方根误差(RMSE)为13.29 mg/m^(3)。研究表明:利用GF6-WFV影像数据能有效反演水体叶绿素a浓度,研究基于多湖库、多时相数据建立的GF6-WFV影像水体叶绿素a浓度反演模型,在中国东部典型湖库具有较好的适用性。The Gaofen-6 medium resolution wide-width camera(GF6-WFV)is designed with two red-edge bands,which has the potential to monitor chlorophyll a concentration in water.In this study,six typical lakes in eastern China,including Guanting Reservoir,Luhun Reservoir and Baiyangdian Lake,were selected as the study area,and measured spectrum and chlorophyll a concentration data were obtained from 141 sampling points.Based on the measured data,the parameters of four kinds of commonly used semi-empirical inversion models of chlorophyll a concentration were optimized and the model accuracy verified,and the optimal inversion model was selected.The results show that the red edge bandⅠ(B5:710 nm)and red band(B3:660 nm)are newly added in GF6-WFV data.Which construct a two-band ratio 2BDA model with high inversion accuracy,correlation coefficient square(R^(2))is 0.89,the Mean Relative Error(MRE)is 34.71%,and the Root Mean Square Error(RMSE)is 13.29 mg/m^(3).The results show that the chlorophyll a concentration in water body can be effectively retrieved by using GF6-WFV image data.The inversion model of chlorophyll a concentration in water body established in this paper based on multi-lake and multi-temporal data has good applicability in typi-cal lake repositories in eastern China.

关 键 词：高分六号卫星 内陆水体 叶绿素A浓度 反演模型 中国东部典型湖库 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置]