杨振,卢小平,武永斌,苗沛基,周俊利

• 1:河南理工大学矿山空间信息技术自然资源部重点实验室
• 2:河南省遥感测绘院

摘要(Abstract)：

针对卫星数据在水体参数反演中表现为光谱分辨率低、波段数少的问题,该文利用无人机高光谱数据具有波段数量多、光谱分辨率高等优势,采用实测采样点水体悬浮物浓度、浊度参数与同步水体光谱数据,建立最优水质参数反演模型,结合无人机高光谱遥感数据对试验区水体进行遥感监测。结果表明:以500、670和540、625 nm波长计算的归一化差值指数与水质参数构建线性水质参数反演模型,可实现对小中型水域水质参数的快速监测。建立水体悬浮物浓度和浊度的空间分布图,实现水质参数可视化,为小型地表水污染防治提供技术支撑。

关键词(KeyWords)： 无人机高光谱;悬浮物浓度;浊度;反演模型

Abstract:

Keywords:

基金项目(Foundation): 国家重点研发项目(2016YFC0803103)

作者(Author): 杨振,卢小平,武永斌,苗沛基,周俊利

DOI: 10.16251/j.cnki.1009-2307.2020.09.010

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