安徽农业科学2016,Issue(3) :294-297.

舟山近海域悬浮泥沙浓度遥感反演研究

Remote Sensing Retrieval of Suspended Sediment Concentration in Near Sea Area of Zhoushan

钱扬风 郭碧云 黄东 罗凤云 韩录维
安徽农业科学2016,Issue(3) :294-297.

舟山近海域悬浮泥沙浓度遥感反演研究

Remote Sensing Retrieval of Suspended Sediment Concentration in Near Sea Area of Zhoushan

钱扬风 1郭碧云 1黄东 1罗凤云 1韩录维1
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作者信息

  • 1. 浙江海洋学院,浙江舟山31600
  • 折叠

摘要

[目的]采用卫星遥感方法反演舟山海域悬浮泥沙的分布,并进一步探索适合的反演模型,为以后舟山海域悬浮泥沙遥感研究提供参考依据.[方法]利用实测数据、遥感数据和实验室分析的方法,对舟山海域不同水体进行光谱分析,建立水体遥感反射率与悬浮泥沙浓度之间3种不同的反演模型.[结果]遥感参数反演模型的反演效果最好;对数反演模型次之,对数模型下TM4波段的相关系数最大,TM3波段的相关系数最小;线性反演模型最差,线性模型下TM2波段的相关系数最大,TM3波段的相关系数最小.[结论]在舟山海域采用遥感参数模型可以获得较高的反演精度.

Abstract

[Objective] The distribution of suspended sediment in Zhoushan sea area was retrieved by using satellite remote sensing method, and the suitable inversion model was further explored, which will provide reference for remote sensing study of suspended sediment in Zhoushan sea area.[Method] Using field data, remote sensing data and laboratory analysis method, spectral analysis of different water bodies in Zhoushan sea area was carried out, and three kinds of inversion models between water body remote sensing reflectance and suspended sediment concentration were established.[Result] The results showed that the inversion effect of remote sensing parameters model was the best.The second was Logarithmic inversion model.The correlation coefficient was the largest in TM4 band and the smallest in TM3.The linear inversion model was the worst.The correlation coefficient was the largest in TM2 band and the smallest in TM3.[Conclusion] The higher inversion accuracy can be obtained by using the remote sensing parameters model in Zhoushan sea area.

关键词

舟山海域/悬浮泥沙/遥感反射率/反演模型

Key words

Zhoushan sea area/Suspended sediment/Remote sensing reflectance/Inversion model

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基金项目

浙江省大学生科技创新活动计划暨新苗人才计划项目(2014R411036)

国家自然科学基金(51479179)

浙江海洋学院大学生科技创新项目()

浙江海洋学院科研启动项目()

出版年

2016
安徽农业科学
安徽省农业科学院

安徽农业科学

影响因子:0.413
ISSN:0517-6611
参考文献量7
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