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| 基于TM数据的太湖叶绿素a浓度定量遥感反演方法研究 | |
| 引用本文： | 杨一鹏,王桥,肖青,闻建光.基于TM数据的太湖叶绿素a浓度定量遥感反演方法研究[J].地理与地理信息科学,2006,22(2):5-8. |
| 作者姓名： | 杨一鹏 王桥 肖青 闻建光 |
| 作者单位： | 1. 中国环境监测总站,北京100029 2. 南京师范大学地理信息科学江苏省重点实验室,江苏,南京,210097 3. 中国科学院遥感应用研究所,北京,100101 |
| 基金项目： | 国家“863”计划项目“环境遥感监测软件系统与业务运行示范”(2003AA131060) |
| 摘 要： | 探讨利用常规卫星遥感数据Landsat/TM定量反演太湖叶绿素a(Chl-a)浓度的方法。在对Landsat/TM影像进行几何校正、辐射定标、大气校正等预处理的基础上,选择适于太湖Chl-a浓度定量反演的最佳波段或波段组合,采用半经验回归模型和混合光谱分解模型分别建立太湖Chl-a浓度定量反演模型,并对不同模型及反演结果进行对比分析。 |
| 关 键 词： | TM 叶绿素a 定量遥感反演 太湖 |
| 文章编号： | 1672-0504(2006)02-0005-04 |
| 修稿时间： | 2005年11月28 |
Quantitative Remote Sensing Inversion Methods of Chlorophyll-a Concentration in Taihu Lake Based on TM Data |
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| YANG Yi-peng,WANG Qiao,XIAO Qing,WEN Jian-guang.Quantitative Remote Sensing Inversion Methods of Chlorophyll-a Concentration in Taihu Lake Based on TM Data[J].Geography and Geo-Information Science,2006,22(2):5-8. | |
| Authors: | YANG Yi-peng WANG Qiao XIAO Qing WEN Jian-guang |
| Abstract: | Quantitative remote sensing inversion methods of chlorophyll-a concentration in Taihu Lake based on Landsat/TM data are mainly discussed in this paper.Geometric correction,radiation calibration and atmospheric correction of Landsat/TM are proceeded firstly,and reflectance spectrum are more distinct after TM calibration and atmospheric correction,reflectance spectrum peak value of 560 nm,720 nm and absorption spectrum peak value of 675 nm are found.The characteristic spectrum and characteristic spectrum combination of chlorophyll-a of Taihu Lake are extracted secondly.With focus on the problems that empirical and semi-empirical methods are lack of the support of physical theory and not robust in quantitative remote sensing monitoring of chlorophyll-a in inland water,the feasibility of spectral mixture analysis with clear physical meaning is discussed,semi-empirical linear regression model and linear spectral mixture analysis model are established.The result of linear spectral mixture analysis is compared and analyzed with the result of semi-empirical method. |
| Keywords: | TM chlorophyll-a quantitative remote sensing inversion Taihu Lake |
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