基于MERIS遥感图像的太湖叶绿素浓度反演
Retrieval Investigation of Chlorophyll a Concentration in Taihu Lake Employing MERIS Remote Sensing Image
王根深 1王得玉1
作者信息
- 1. 南京邮电大学通信与信息工程学院,江苏南京210003
- 折叠
摘要
以太湖为试验区,基于MERIS遥感图像数据以及同步实测的太湖水质参数数据,应用归一化叶绿素指数算法(NDCI),对太湖水体叶绿素a浓度进行反演,得到了太湖区域的水体叶绿素a反演结果,并对反演结果进行了验证和分析.结果表明:归一化叶绿素指数反演算法能够精确地反演太湖区域的叶绿素a浓度值,模型的决定系数(R2)为0.8812,反演精度优于传统经验统计模型,可为今后更精确地反演内陆水体的叶绿素a浓度提供参考依据.
Abstract
A novel index,normalized difference chlorophyll index(NDCI) was introduced in this study to invert the chlorophyll a(Chl.a) con-centration form MERIS remote sensing image and the data of water quality parameters of Taihu Lake,and the inversion results were verified and analyzed.The inversion results showed that normalized Difference chlorophyll Index could accurately reflect the chlorophyll a concentration in the Taihu Lake, the coefficient of decision was 0.8812, which was better than traditional empirical model,and provided a reference for the more ac-curate inversion of chlorophyll a concentration in inland water.
关键词
MERIS遥感图像/叶绿素a/归一化叶绿素指数反演算法/太湖Key words
MERIS remote sensing image/Chlorophyll-a/NDCI/Taihu Lake引用本文复制引用
基金项目
江苏省自然科学基金-青年基金(BK20140868)
出版年
2017
国家科技期刊平台
NSTL
维普
万方数据