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基于多源传感器的FUI水色指数提取与应用

王一飞, 宫兆宁, 张园, 苏朔. 2021. 基于多源传感器的FUI水色指数提取与应用. 自然资源遥感, 33(3): 262-271. doi: 10.6046/zrzyyg.2020324
引用本文: 王一飞, 宫兆宁, 张园, 苏朔. 2021. 基于多源传感器的FUI水色指数提取与应用. 自然资源遥感, 33(3): 262-271. doi: 10.6046/zrzyyg.2020324
WANG Yifei,, GONG Zhaoning, ZHANG Yuan, SU Shuo,, . 2021. Extraction and application of Forel-Ule index based on images from multiple sensors. Remote Sensing for Natural Resources, 33(3): 262-271. doi: 10.6046/zrzyyg.2020324
Citation: WANG Yifei,, GONG Zhaoning, ZHANG Yuan, SU Shuo,, . 2021. Extraction and application of Forel-Ule index based on images from multiple sensors. Remote Sensing for Natural Resources, 33(3): 262-271. doi: 10.6046/zrzyyg.2020324

基于多源传感器的FUI水色指数提取与应用

  • 基金项目:

    国家自然科学基金项目“内陆浅水湖库变化水环境下沉水植物种群的遥感精细识别与时空监测”(41971381)

    北京水务局重点项目“面向再生水循环利用的湿地生态环境效应及建设模式研究”(TAHP-2018-ZB-YY-490S)

详细信息
    作者简介: 王一飞(1997-),男,硕士研究生,主要从事水色遥感方面的研究。Email:cyanodee@foxmail.com。
  • 中图分类号: TP79

Extraction and application of Forel-Ule index based on images from multiple sensors

  • 水体颜色的定量表征可为内陆湖库综合水质的评估提供重要的参考数据。以华北内陆大型湖库官厅水库为研究对象,结合2016—2020年季相尺度的Sentinel-2和Landsat 8 OLI反射率数据,利用FUI(Forel-Ule index)水色指数反演算法,定量分析了官厅水库FUI水色的空间尺度、年内及年际尺度的异质特征; 为探究FUI水色与水体营养状态之间的耦合关系,分别利用色度角α和FUI水色指数与营养状态指数(trophic status index,TSI)进行建模; 并论证了FUI水色指数在不同传感器间的可比性及应用潜力。结果表明: ①在空间尺度上,官厅水库中心处FUI水色指数数值较低,在水库边缘处数值较高; ②在年内季相尺度上,FUI水色指数数值呈现出冬季最高,春季小幅度降低,夏季最低,秋季又上升的趋势; ③在年际尺度上,近3 a间FUI水色指数数值较前两年有所降低,水色表现为由黄棕色向黄绿色转变,这一点可能得益于北京市政府对官厅水库的有效治理; ④TSI与色度角α和FUI的Pearson相关系数分别为-0.85和 0.80,表明FUI水色与TSI指数具有强相关性; ⑤对同一天过境的Sentinel-2和Landsat 8 OLI进行FUI水色指数反演,数值分别为13.04和13.16,十分接近,表明FUI在不同传感器影像之间具有可比性,可利用多源长时序的遥感数据,实现FUI水色长时序数据的反演。FUI水色指数在水质营养状态评估方面具有明显的应用潜力和优势。
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出版历程
收稿日期:  2020-10-16
刊出日期:  2021-09-15

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