基于Landsat系列卫星的中国湖库水体颜色时空变化研究
结题报告
批准号:
41971318
项目类别:
面上项目
资助金额:
61.0 万元
负责人:
李俊生
学科分类:
遥感科学
结题年份:
2023
批准年份:
2019
项目状态:
已结题
项目参与者:
李俊生
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中文摘要
水体颜色是太阳光与水中物质相互作用的结果,与叶绿素a、悬浮物、有色可溶性有机物等水质参数密切相关。水体颜色观测早在一百年前已经开始,通过福莱尔水色计将水体颜色从深蓝到红棕色分为21个级别,称为水体颜色指数。近几年来,卫星遥感被应用于提取水体颜色指数,用来分析研究区水体颜色及其反映的水质的时空变化。但是,这些研究工作刚刚起步,还有很多需要解决和完善的问题。本项目将开展基于卫星遥感的长时序大范围湖库水体颜色指数时空变化研究,分析水体颜色指数与湖库典型水质参数的关系及其不确定性,发展基于Landsat系列卫星(TM/ETM+/OLI)的湖库水体颜色指数遥感提取方法,生产1986年以来全国面积大于1km2的湖库水体颜色指数产品,并分析其时空变化特征及其影响因素。该研究将有利于更加科学的认识我国湖库水环境演化机制,为我国湖库水环境保护和治理提供科学决策支持,具有重要的科学意义和现实意义。
英文摘要
Water color is a direct consequence of sunlight interactions with water constituents, and it is closely related to water quality parameters, such as the contents of Chlorophyll-a, suspended matter, and colored dissolved organic matter in water. Water color has been recorded and characterized by the Forel-Ule scale for more than 100 years. The Forel-Ule scale divides the natural water color into 21 classes covering water colors from dark blue to yellowish brown, and the water color classes are called as Forel-Ule Index (FUI). In recent years, satellite remote sensing has been applied to calculate FUI, then the spatial and temporal changes of water quality can be analyzed based on the FUI results. However, the use of FUI in satellite remote sensing is still in the early stage, and there are many problems to be solved and further studied. This project will research on the water color temporal and spatial change over lakes in large scale and long time series based on satellite remote sensing. Firstly, the FUI calculation algorithm will be developed for Landsat sensors (i.e. TM/ETM+/OLI). Then, the relationship and uncertainties between FUI and classic water quality parameters will be analyzed. Finally, the FUI product for the nationwide lakes in China will be produced in long time series from the year of 1986. Based on this, the temporal and spatial water color changes will be analyzed for the nationwide lakes. Moreover, the environmental factors of water color change will be discussed for the lakes in different regions in China. Therefore, studying on the water color change over the nationwide lakes has a as a very important scientific and practical significance, which will help to fill the knowledge gap in the evolution mechanism of lake water quality in China, and provide scientific decision-making support for the protection and treatment of lake water quality in China.
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DOI:10.1364/oe.454814
发表时间:2022
期刊:Optics Express
影响因子:--
作者:Ziyao Yin;junsheng li;Yao Liu;Fangfang Zhang;Shenglei Wang;Ya Xie;Min Gao
通讯作者:Min Gao
DOI:10.1038/s41597-021-00807-z
发表时间:2021-01-25
期刊:Scientific data
影响因子:9.8
作者:Wang S;Li J;Zhang W;Cao C;Zhang F;Shen Q;Zhang X;Zhang B
通讯作者:Zhang B
DOI:10.11834/jrs.20210570
发表时间:2021
期刊:National Remote Sensing Bulletin
影响因子:--
作者:Bing Zhang;Junsheng Li;Q. Shen;Yanhong Wu;Fangfang Zhang;Shenglei Wang;Yue Yao;Linan Guo;Ziyao Yin
通讯作者:Bing Zhang;Junsheng Li;Q. Shen;Yanhong Wu;Fangfang Zhang;Shenglei Wang;Yue Yao;Linan Guo;Ziyao Yin
DOI:10.1007/s00343-020-0124-4
发表时间:2021-01
期刊:Journal of Oceanology and Limnology
影响因子:1.6
作者:Ziyao Yin;Junsheng Li;Jue Huang;Shenglei Wang;Fangfang Zhang;Bing Zhang
通讯作者:Ziyao Yin;Junsheng Li;Jue Huang;Shenglei Wang;Fangfang Zhang;Bing Zhang
Water clarity changes in Lake Taihu over 36 years based on Landsat TM and OLI observations
基于Landsat TM和OLI观测的太湖水体透明度36年变化
DOI:10.1016/j.jag.2021.102457
发表时间:2021
期刊:International Journal of Applied Earth Observation and Geoinformation
影响因子:7.5
作者:Ziyao Yin;Junsheng Li;Yao Liu;Ya Xie;Junsheng Li;Shenglei Wang;Xiao Sun;Bing Zhang
通讯作者:Bing Zhang
顾及非线性响应的智能手机照片离水反射率校正与水质监测研究
基于软分类的太湖水体叶绿素a浓度遥感反演与时空变化分析
基于模拟和实测数据的内陆水体光场二向性分布规律研究
国内基金
海外基金