马万栋, 吴传庆, 殷守敬, 王晨, 聂忆黄, 林辉, 李京荣. 厦门海域水体悬浮物遥感反演算法研究[J]. 海洋环境科学, 2016, 35(5): 770-773. DOI: 10.13634/j.cnki.mes20160522
引用本文: 马万栋, 吴传庆, 殷守敬, 王晨, 聂忆黄, 林辉, 李京荣. 厦门海域水体悬浮物遥感反演算法研究[J]. 海洋环境科学, 2016, 35(5): 770-773. DOI: 10.13634/j.cnki.mes20160522
MA Wan-dong, WU Chuan-qing, YIN Shou-jing, WANG Chen, NIE Yi-huang, LIN Hui, LI Jing-rong. The remote sensing retrieval of total suspended matter in Xiamen bay[J]. Chinese Journal of MARINE ENVIRONMENTAL SCIENCE, 2016, 35(5): 770-773. DOI: 10.13634/j.cnki.mes20160522
Citation: MA Wan-dong, WU Chuan-qing, YIN Shou-jing, WANG Chen, NIE Yi-huang, LIN Hui, LI Jing-rong. The remote sensing retrieval of total suspended matter in Xiamen bay[J]. Chinese Journal of MARINE ENVIRONMENTAL SCIENCE, 2016, 35(5): 770-773. DOI: 10.13634/j.cnki.mes20160522

厦门海域水体悬浮物遥感反演算法研究

The remote sensing retrieval of total suspended matter in Xiamen bay

  • 摘要: 通过现场实测厦门海域水体遥感反射率及水体悬浮物浓度,分析了该海域水体的遥感反射光谱特征,选取了特征波段及组合建立了该海域水体悬浮物浓度反演模型。本文经过对比分析水体中呈悬浮态的总颗粒物质量浓度的不同反演方法,最后得出悬浮颗粒物在近红外波段的反射曲线的反射率高值和低值围成的区域面积可较好的反演研究区域的悬浮颗粒物浓度,其统计回归模型的决定系数是0.66,该反演算法的RMSE是10.25mg/L,相对误差是7.79mg/L。

     

    Abstract: The remote sensing reflectance and the concentration of total suspended matter (TSM) in Xiamen bay are achieved. The retrieval models of TSM in Xiamen bay are built after the spectrum of remote sensing reflectance is analyzed, as well as the characteristic bands or band combination. Different methods and models are applied to testify the relationship between the remote sensing reflectance and TSM concentration. We find that the model of reflectance peak area is the best one to retrieve TSM concentration in Xiamen bay. The determination coefficient is 0.66 and the retrieval RMSE error is 10.25mg/L with the relative error of 7.79mg/L, when the reflectance peak area is applied to retrieve TSM in Xiamen bay.

     

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