广西科学2016，Vol.23Issue(6)：520-527,8.DOI:10.13656/j.cnki.gxkx.20161230.002
长江口水质MERIS卫星数据遥感反演研究
Water Quality Retrievals from MERIS Satellite Data in Yangtze Estuary
摘要
Abstract
[Objective]In order to grasp the distribution map of water quality parameters more accurately,we evaluate the estuary which has complex dynamical system.[Methods]After using 30 in situ remote sensing reflectance data collected in May 2011 and trying many kinds of band combinations and function forms,the optimal empirical models for chlorophyll-a concentration and total suspended matter concentration were established.[Results]For total suspended matter concentration,Quadratic function model by band difference(634~644 nm)performs best,of which coefficient of determination (R2 )is 0.837 and root mean square error (RMSE)is 0.226 mg·L-1 .In the model validation,the mean ab-solute percentage error(MAPE)by using the in-dependent dataset shows a value of 58.2%.For chlorophyll-a concentration,quadratic function model by band ratio (650 nm/644 nm)performs best,of which coefficient of determination (R2 ) is 0.552 and root mean square error(RMSE)is 0.486 mg·m-3 .In the model validation,the mean absolute percentage error (MAPE)by u-sing the independent dataset shows a value of 66.2%.The MERIS satellite data in May 2011 were evaluated by the models,and the distribu-tion map was obtained for spatial concentration of chlorophyll-a and total suspended matter of the Changj iang Estuary through simulation.There was a trend that the concentration of chloro-phyll-a decreased gradually from the estuary to the sea,and the maximum value appeared in the Zhoushan Islands.The concentration of total suspended matter reduced stepwisely to the sea.[Conclusion]As is shown in the evaluation parameters,the total suspended matter concentration model has accurate effect in retrieve water quality while the chlorophyll-a concentration model has lower effect.关键词
叶绿素a浓度/总悬浮物浓度/MERIS/卫星遥感算法Key words
chlorophyll-a concentration/total suspended matter concentration/MERIS/remote sensing algorithm分类
海洋科学引用本文复制引用
谢明媚,孙德勇,丘仲锋,王胜强,路颖,吴晨颖,叶之翩,岳小媛..长江口水质MERIS卫星数据遥感反演研究[J].广西科学,2016,23(6):520-527,8.基金项目
国家自然科学基金项目(41276186,41576172,41506200),江苏省自然科学基金项目(BK20151526,BK20150914),江苏省高校自然科学基金项目(15KJB170015),“全球变化与海气相互作用”专项(GASI03030101),江苏省“青蓝工程”优秀青年骨干教师项目和南京信息工程大学大学生实践创新训练计划项目(201510300256,201510300073,201610300035,201610300064)资助。 （41276186,41576172,41506200）
