基于Landsat卫星遥感资料的河流水温反演研究

doi:10.11660/slfdxb.20210212

Abstract

Abstract: 水温是影响河流环境与生态过程的重要因素。应用卫星遥感资料反演海洋和湖泊等大尺度水体温度的方法流程已较为成熟，但对于河流或河道型水库，受河道尺度、岸线边界及河道内船舶等随机因素影响，水温反演数据质量较差，目前还没有较完整的数据处理流程。本文基于Landsat系列卫星数据，应用大气辐射传输模型反演了三峡水库库首庙河站及库尾寸滩站两个特征站位的水体表面温度，并使用增强水体获取方法进行水体-陆地边缘效应的剔除，采用不同验证窗口选取方法确定的反演温度与实测水温进行比对验证。研究结果表明，剔除边缘异常像素可显著提高水温反演精度，误差可降低0.2℃以上；相较于单栅格法，利用方形选框法可使误差降低约0.1℃；本文所提出的水温反演方法在两个特征研究区域内具有相同的精度，并且Landsat-5的反演精度较Landsat-7更高，其均方根误差处于0.87 ~ 0.91℃。本文反演方法和数据处理过程可为今后使用Landsat系列卫星遥感影像获取河道内水温数据提供参考数据处理流程。

Key words: water temperature, river, remote sensing, boundary effect, Landsat

SHI Xi, SUN Jian, SHI Lidi. Derivation of river surface temperature from Landsat thermal infrared data[J].Journal of Hydroelectric Engineering, 2021, 40(2): 121-130.

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Derivation of river surface temperature from Landsat thermal infrared data

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