首页|基于GF6-WFV数据的中国东部典型湖库叶绿素a浓度反演

基于GF6-WFV数据的中国东部典型湖库叶绿素a浓度反演

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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(R2)为0.89,平均相对误差(MRE)为34.71%,均方根误差(RMSE)为13.29 mg/m3.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.
Chlorophyll-a Concentration Inversion based on GF6-WFV Data in a Typical Lake Reservoir in Eastern China
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 band Ⅰ(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(R2)is 0.89,the Mean Relative Error(MRE)is 34.71%,and the Root Mean Square Error(RMSE)is 13.29 mg/m3.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.

Gaofen-6 satelliteInland waterChlorophyll a concentrationInversion modelTypical lake reser-voir in eastern China

卜博、张方方、李俊生、王胜蕾、李景宜、谢娅、王超、桑瑞丹、田彬

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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

可持续发展大数据国际研究中心,北京 100094

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

中国科学院大学,北京 100049

中国地质大学(北京)地球科学与资源学院,北京 100083

河南省科学院地理研究所,河南郑州 450052

河南理工大学,河南 焦作 450000

中国矿业大学,江苏徐州 221116

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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

可持续发展大数据国际研究中心主任青年基金国家重点研发计划国家重点研发计划

CBAS2022DF0052022YFC32041012022YFC3800700

2024

遥感技术与应用
中国科学院遥感联合中心

遥感技术与应用

CSTPCD北大核心
影响因子:0.961
ISSN:1004-0323
年,卷(期):2024.39(1)
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