摘要
通过对2004年8月19日太湖Hyperion高光谱遥感数据的处理和分析,文章首先采用比值和一阶微分处理技术进行了叶绿素a浓度的估算.为了弥补此两种方法在模型的适用性和通用性方面的不足,本文尝试了利用混合光谱分析模型进行太湖水体叶绿素a浓度的提取和成图.实验结果说明高光谱遥感数据Hyperion可以进行水体叶绿素a浓度的监测,并且作为高光谱处理技术之一的混合光谱分析技术是水体叶绿素a浓度估算的另一条佳径.
Processed and analyzed the hyperspectral data- Hyperion on August 19^th 2004, we estimated chlorophyll-a concentration using ratio and differential coefficient method in Lake Taihu. But these two models' applicability confined in single area and single phase. In this paper we used mixing spectral analysis model for extracting chlorophyll-a concentration and mapping the distribution of chlorophyll-a concentration. The result shows that the new style of remote sensing data Hyperion can be used for monitoring chlorophyll-a concentration, and that mixing spectral analysis is an optimal method for estimating water chlorophyll-a concentration.
出处
《湖泊科学》
EI
CAS
CSCD
北大核心
2006年第4期327-336,共10页
Journal of Lake Sciences
基金
中国科学院知识创新工程主要方向性项目(KZCX3-SW-334及KZCX3-SW-338)资助.
关键词
高光谱
HYPERION数据
水质遥感
混合光谱分析
太湖
Hyperspectrum
Hyperion data
remote sensing of water quality
mixing spectral analysis
Lake Taihu