基于空-天-地高光谱的感潮河道水体盐度监测方法研究

Salinity Monitoring Method for Tidal River Water based on Space-Sky-Ground Hyperspectral Analysis

珠江口河网区日益严峻的咸潮上溯威胁当地生产生活和生态环境。针对传统站点式咸潮监测方法的缺陷,本文提出了基于卫星-无人机-地面三种高光谱遥感观测的感潮河道水体盐度监测方法。由水色因子建立水体盐度反演模型;通过遥感高光谱数据反演水体叶绿素浓度,构建了水体盐度遥感反演模型;基于水体盐度、水体叶绿素浓度和筛选的三波段反射率关系,建立了珠海磨刀门水道盐度遥感反演模型,模型决定系数为0.70,拟合效果较好。大空间尺度河道水体盐度的反演,可作为感潮河网区咸潮动态的大范围监测依据。

The increasingly severe upwelling of the salt tides in the river network area of the Pearl River Estuary threatens the local life and ecological environment.In response to the shortcomings of traditional station based salt tide monitoring method,a salinity monitoring method for tidal river water is proposed based on satellite-drone-ground hyperspectral remote sensing observations.A water salinity inversion model is established firstly based on water color factors.A water salinity remote sensing inversion model is then constructed,in which the chlorophyll concentration in water is inverted with the remote sensing hyperspectral data.Finally,a water salinity remote sensing inversion model is established for the Modaomen Waterway of Zhuhai based on the relationships between the water salinity,water chlorophyll concentration and selected three band reflectance.The determination coefficient of the model is 0.70,indicating a good fitting performance.The inversion of salinity in large-scale river bodies can serve as a basis for the large-scale monitoring of salinity variation in tidal river networks.