基于高光谱数据的汉江中下游典型河段水体悬浮物遥感反演

肖潇; 徐坚; 赵登忠; 程学军; 李国忠; 赵保成; 徐健

doi:10.11988/ckyyb.20191003

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长江科学院院报 ›› 2020, Vol. 37 ›› Issue (11) : 141-148. DOI: 10.11988/ckyyb.20191003

信息技术应用

基于高光谱数据的汉江中下游典型河段水体悬浮物遥感反演

肖潇¹, 徐坚^1,2, 赵登忠¹, 程学军¹, 李国忠¹, 赵保成¹, 徐健¹

作者信息 +

Remote Sensing Retrieval of Total Suspended Solids Concentration for Typical Reach of Hanjiang River Using Hyperspectral Data

XIAO Xiao¹, XU Jian^1,2, ZHAO Deng-zhong¹, CHENG Xue-jun¹, LI Guo-zhong¹, ZHAO Bao-cheng¹, XU Jian¹

Author information +

文章历史 +

摘要

选择汉江中下游典型河段作为研究区域,利用2012—2013年实测水质数据及高光谱数据,基于有效信息变量筛选和神经网络算法构建研究区水体悬浮物浓度高光谱反演模型,分析评价了模型性能与估测效果,讨论了研究区水体悬浮物浓度分布特征。研究结果表明:基于变量投影重要性指数和神经网络优势构建的高光谱反演模型在反演精度、稳定性和适应性方面表现出优异的性能;而对于基于简单相关性分析构建的单波段模型和比值模型而言,建模样本选择对模型精度有较大影响,导致模型反演精度、稳定性和适用性较差;汉江中下游典型河段水体总悬浮物浓度整体上在18.8~187.0 mg/L之间变化,季节性差异明显,即春、夏两季悬浮物浓度低于秋季。

Abstract

A hyperspectral model of retrieving suspended solids concentration in typical reaches of the middle and lower Hanjiang River is constructed based on effective information variable selection and neural network algorithm according to the water quality and hyperspectral data measured in 2012-2013. The performance and estimation effectiveness of the model are analyzed and assessed, and the distribution characteristics of suspended solids concentration in the waters of the study area are discussed. Results demonstrate that the hyperspectral retrieval model based on variable importance in projection index and neural network advantage has excellent retrieval accuracy, stability and adaptability; in contrast, for the single-band model and ratio model based on simple correlation analyses, the selection of modeling samples has a huge influence on the accuracy of the model, leading to poor retrieval accuracy, stability and adaptability. The concentration of suspended solids in the typical reaches of the middle and lower Hanjiang River varies within 18.8-187.0 mg/L. Seasonal differences are quite obvious: the concentrations of suspended solids in spring and summer are lower than those in autumn.

导出引用

肖潇, 徐坚, 赵登忠, 程学军, 李国忠, 赵保成, 徐健. 基于高光谱数据的汉江中下游典型河段水体悬浮物遥感反演[J]. 长江科学院院报. 2020, 37(11): 141-148 https://doi.org/10.11988/ckyyb.20191003

XIAO Xiao, XU Jian, ZHAO Deng-zhong, CHENG Xue-jun, LI Guo-zhong, ZHAO Bao-cheng, XU Jian. Remote Sensing Retrieval of Total Suspended Solids Concentration for Typical Reach of Hanjiang River Using Hyperspectral Data[J]. Journal of Changjiang River Scientific Research Institute. 2020, 37(11): 141-148 https://doi.org/10.11988/ckyyb.20191003

中图分类号： X832

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