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作 者:Xiaoqin Yang Ruqing Tong Li Ma Jian Li Siqi Wang Liqiao Tian
机构地区:[1]State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University,Wuhan,People’s Republic of China [2]Hubei LuoJia Laboratory,Wuhan,People’s Republic of China [3]Changjiang Spatial Information Technology Engineering Co. Ltd,Wuhan,People’s Republic of China [4]School of Remote Sensing and Geomatics Engineering,Nanjing University of Information Science and Technology,Nanjing,People’s Republic of China
出 处:《International Journal of Digital Earth》2022年第1期1567-1587,共21页国际数字地球学报(英文)
基 金:jointly supported by the National Key Research and Development Program of China[grant numbers 2018YFB0504900 and 2018YFB0504904];the National Natural Science Foundation of China[grant numbers 42071325,42171346,and 42176183];LIESMARS Special Research Funding,the‘985 Project’of Wuhan University,and Special funds of State Key Laboratory for equipment.
摘 要:Water color is a crucial optical indicator of water quality,polluted water bodies often show water color anomalies.To comprehensively understand the occurrence of water color anomalies in inland lakes,an integrated method was designed using the hue angle based on the Forel-Ule Index(FUI)model,and other remote sensing indices,including the Turbid Water Index(TWI),Floating Algae Index(FAI),and Cyanobacteria and Macrophytes Index(CMI).Based on all available Landsat-8 OLI images from 2013 to 2020,continuous monitoring was conducted in three different lakes in the middle of the Yangtze River,China.The results demonstrated that:(1)The proposed method can accurately identify algal blooms,high sediment loads,and eutrophication from the abnormal water color areas;(2)The calculated hue angles of sediment-dominated water were significantly higher than those of algal blooms and aquatic vegetation,providing a noticeable visual discoloration of water;(3)These water color anomalies exhibited significant correlations with the water quality and environmental conditions.This study serves as an example for accurate and spatially continuous assessment of water color anomaly and supports practical information to facilitate local water environment conservation.
关 键 词:water color anomaly hue angle spatio-temporal variation inland lakes Landsat-8 OLI
分 类 号:P332[天文地球—水文科学] P343[水利工程—水文学及水资源]
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