地理科学 ›› 2007, Vol. 27 ›› Issue (1): 92-97.doi: 10.13249/j.cnki.sgs.2007.01.92

• 论文 • 上一篇    下一篇

基于混合光谱理论的太湖水体叶绿素a浓度提取

闻建光1, 肖青1,2, 柳钦火1, 周艺1   

  1. 1. 中国科学院遥感应用研究所遥感科学国家重点实验室, 北京, 100101;
    2. 核工业北京地质研究院遥感重点实验室, 北京, 100029
  • 收稿日期:2005-08-19 修回日期:2005-12-24 出版日期:2007-01-20 发布日期:2007-01-20
  • 基金资助:
    中国科学院知识创新新重要方向性项目CAS(KZCX3-SW-334、KZCX3-SW-338)资助

Extraction of Chlorophyll-a Concentration Based on Spectral Unmixing Model in Taihu Lake Water

WEN Jian-Guang1, XIAO Qing1,2, LIU Qin-Huo1, ZHOU Yi1   

  1. 1. SLRSS, Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101;
    2. Beijing Research Institute of Uranium Geology, Beijing 100029
  • Received:2005-08-19 Revised:2005-12-24 Online:2007-01-20 Published:2007-01-20

摘要: TM图象多波段数据作为遥感监测水体叶绿素a浓度的数据源,已有多种遥感定量模型与之对应,但主要还是以经验模型为主。利用TM数据首先采用特征波段比值方法,建立太湖水体合适的叶绿素a浓度反演的遥感定量模型。由于经验模型的缺陷性,还提出了基于TM数据的水体混合光谱分析模型,同时分析了端元光谱提取方法对模型求解的影响。通过计算叶绿素a浓度模型估算结果与实地测量数据的相关系数和均方根误差(RMSE),可以发现混合光谱分析模型也是水体叶绿素a浓度遥感估算的另一条佳径。

Abstract: Thematic Mapper(TM) data can be used to estimate chlorophyll-a concentration of water body and monitor the quality of inland water.There are different models for TM estimating Chlorophyll-a concentration,and the major model is empirical regression model.In this paper we build chlorophyll-a models based on TM data,in which the traditional band ratio approach and mixing spectral analysis model were used.And we also analyzed the method of end-member extraction.The correlation coefficient and rooted mean square errors were calculated,and the results of chlorophyll-a concentration gained from these models and those gained from the analysis in lab were compared,the result shows that the mixing spectral model for estimating Chlorophyll-a concentration is a optimal method.

中图分类号: 

  • TP79