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针对常规少量叶绿素样本建模精度不高的问题,以武汉市东湖为研究区,基于2024年7月5日现场走航实测数据和同步ZY-1E卫星高光谱数据,结合东湖水体光学特性分析,将具有明显峰谷特征的576 nm、679 nm、705 nm、740 nm、808 nm等波段和相关性较强的波段与波段组合输入BP神经网络模型进行训练,构建适用于武汉市东湖的叶绿素a浓度反演模型。BP神经网络模型的R
2
达到0.76
RMSE为3.425 8μg/L,表明模型能有效反演东湖叶绿素a浓度。分析2024年9月24日的反演结果可知,东湖水域叶绿素a浓度呈东高西低、边缘高中心低的特点,可为后续水质监测与生态评估提供依据。
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