遥感信息
遙感信息
요감신식
2014年
5期
96-100
,共5页
珠江河口%盐度遥感%黄色物质
珠江河口%鹽度遙感%黃色物質
주강하구%염도요감%황색물질
Pearl River Estuary%salinity%yellow substance
为加强河口地区咸潮活动规律的监测及拓展新型咸潮监测方法，以 MODIS 卫星影像数据和2010年～2011年多测次的水色因子浓度实测资料为基础，开展珠江河口表层盐度遥感监测研究。研究结果表明：在珠江河口水域，表层盐度与黄色物质呈负相关关系，建立基于黄色物质的珠江口表层盐度遥感定量反演模型可行；但仅依靠单参数黄色物质的表层盐度遥感模型存在稳定性差、反演精度波动大的问题，为此引入固定站点数据对模型进行优化，最终建立遥感数据与固定站点数据协同作用的表层盐度遥感自适应优化模型。模型验证结果显示优化模型对河口区表层盐度的监测误差控制在30％以内，具有较高实用价值。
為加彊河口地區鹹潮活動規律的鑑測及拓展新型鹹潮鑑測方法，以 MODIS 衛星影像數據和2010年～2011年多測次的水色因子濃度實測資料為基礎，開展珠江河口錶層鹽度遙感鑑測研究。研究結果錶明：在珠江河口水域，錶層鹽度與黃色物質呈負相關關繫，建立基于黃色物質的珠江口錶層鹽度遙感定量反縯模型可行；但僅依靠單參數黃色物質的錶層鹽度遙感模型存在穩定性差、反縯精度波動大的問題，為此引入固定站點數據對模型進行優化，最終建立遙感數據與固定站點數據協同作用的錶層鹽度遙感自適應優化模型。模型驗證結果顯示優化模型對河口區錶層鹽度的鑑測誤差控製在30％以內，具有較高實用價值。
위가강하구지구함조활동규률적감측급탁전신형함조감측방법，이 MODIS 위성영상수거화2010년～2011년다측차적수색인자농도실측자료위기출，개전주강하구표층염도요감감측연구。연구결과표명：재주강하구수역，표층염도여황색물질정부상관관계，건립기우황색물질적주강구표층염도요감정량반연모형가행；단부의고단삼수황색물질적표층염도요감모형존재은정성차、반연정도파동대적문제，위차인입고정참점수거대모형진행우화，최종건립요감수거여고정참점수거협동작용적표층염도요감자괄응우화모형。모형험증결과현시우화모형대하구구표층염도적감측오차공제재30％이내，구유교고실용개치。
A study was conducted in the Pearl River Estuary with the aim of developing a method for the retrieval of the surface salinity concentrations from remotely sensed ocean color.Firstly,using in-situ data collected in the Pearl River Estuary between 2010 and 2011,this paper analyzed the relationship between salinity and yellow substance originating and created a base model of estimation of surface salinity based on yellow substance(CDOM).Then the model was applied to MODIS data for retrieval of surface salinity.But the application result showed that the accuracy of the base model was not stable.In order to improve the stability of the model,a new thought that using the daily fix-site data to adjust the parameter of the model was proposed.Then a new optimization was established,which can estimate surface salinity using remote sensing based on the Fix-site data.Finally,through analyzing the operational precision of the new model,it showed that the estimated salinity is in close agreement with the in-situ data and the error is within 30%.
