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首页> 外文会议>Symposium on Novel Photoelectronic Detection Technology and Applications >Inversion of Ocean Color Constituents in the Sea Area Around Dajin Island Based on CASI Aerial Hyperspectral Data
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Inversion of Ocean Color Constituents in the Sea Area Around Dajin Island Based on CASI Aerial Hyperspectral Data

机译：基于CASI鸟瞰高光谱数据的大滨岛海域海域海域中的海洋成分反演

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The sea area of Dajin Island in the Pearl River Estuary is the habitat of the Chinese White Dolphin. The CASI(Compact Airborne Spectrographic Imager) hyperspectral data was used to observe the three constituents of ocean color (chlorophyll-a, suspended sediment concentration and chromophoric dissolved organic matter), which play an important role in reflecting water quality, indicating sea environment and water eutrophication, and the inversion model of three constituents of ocean color is constructed. In addition, the in situ measured water color constituent data is used to evaluate the accuracy of the inversion results. The results show that: 1) the band ratio model (Chl-a=0.9601×(Rrs(622.486)/Rrs(851.341))+0.0739) based on CASI data can well retrieve the chlorophyll-a (Chl-a) concentration in the studied sea area, the content is 0.1-4.4 μ g / L, and the relative average error is 14.77%.2) The single-band index model (SSC=0.4829×exp(19.619×Rrs(622.486)))based on CASI data can better invert the concentration of suspended sediment concentration (SSC), the concentration is 0.48-12.15 mg/L, and the relative average error is 11.16%.3) The band ratio model(CDOM=1.0222e^ (-2.144×(Rrs(B36)/Rrs(B3))) based on CASI data can better invert the concentration of chromophoric dissolved organic matter (CDOM) in the studied sea area, with a relative average error of 12.80%. This shows that CASI airborne remote sensing has a very important role in developing refined observations for specific areas, and can more quickly and effectively monitor the ecological environment and evaluate pollution in the cloudy coverage study area.
机译：大津岛海区在珠江河口是中国白海豚的栖息地。 CASI（紧凑的空中光谱成像仪）高光谱数据用于观察海洋颜色的三种成分（叶绿素-A，悬浮沉积物浓度和发色团溶解有机物），这在反映水质中起着重要作用，表明海洋环境和水富营养化，构建了海洋三种成分的反演模型。此外，原位测量的水彩构成数据用于评估反转结果的准确性。结果表明：1）基于CASi数据的带比模型（CHL-A = 0.9601×（RRS（622.486）/ RRS（851.341））+ 0.0739）可以很好地检索叶绿素-A（CHL-A）浓度研究的海域，含量为0.1-4.4μg/ l，相对平均误差为14.77％.2）单带索引模型（SSC = 0.4829×EXP（19.619×RRS（622.486）））基于CASI数据可以更好地反转悬浮沉积物浓度（SSC）的浓度，浓度为0.48-12.15mg / l，相对平均误差为11.16％.3）带比模型（CDom = 1.0222e ^（-2.144× （RRS（B36）/ RRS（B3）））基于CASI数据可以更好地反转所研究的海域中发色团溶解有机物质（CDom）的浓度，相对平均误差为12.80％。这表明Casi Airborne遥控器感官在开发特定领域的精致观察方面具有非常重要的作用，并且可以更快，更快地监测生态环境并评估多云覆盖螺柱的污染y区。

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