世界地质 2017, 36(2) 616-623,642 DOI:   10.3969/j.issn.1004-5589.2017.02.029  ISSN: 1004-5589 CN: 22-1111/P

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Landsat-8
悬浮泥沙
叶绿素a
估算模型
空间分布
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PubMed
基于Landsat-8数据南海近岸悬浮泥沙与叶绿素a浓度定量反演
孟凡晓, 陈圣波, 张国亮, 范宪创
吉林大学地球探测科学与技术学院, 长春 130026
摘要

为了对南海近岸海域海水悬浮泥沙与叶绿素a进行浓度估算,基于Landsat-8数据确定悬浮泥沙与叶绿素a的敏感波段并构建估算模型。结果表明,Landsat-8数据第一、二、四波段对悬浮泥沙浓度较为敏感,第一、二、三波段对叶绿素a浓度较为敏感,而以上单波段仍不能单独用于准确提取该区悬浮泥沙与叶绿素a,故建立多种形式的统计模型。由第一、二、四波段线性组合形成的悬浮泥沙浓度反演模型的相关系数达到0.904,平均相对误差为10.24%,反演精度为89.76%。由第一、二、三波段线性组合形成的叶绿素a浓度反演模型的相关系数达到0.886,平均相对误差为11.27%,反演精度为88.73%。

关键词 Landsat-8   悬浮泥沙   叶绿素a   估算模型   空间分布  
Quantitative inversion of nearshore suspended sediment and chlorophyll-a concentration based on Landsat-8 data in South China Sea
MENG Fan-xiao, CHEN Sheng-bo, ZHANG Guo-liang, FAN Xian-chuang
College of Geo-exploration Science and Technology, Jilin University, Changchun 130026, China
Abstract:

In order to estimate the nearshore suspended sediment concentration and the concentration of chlorophyll-a in South China Sea, the authors determined their sensitive wave bands and built the experience models based on Landsat-8 data. The results showed that Band 1, Band 2 and Band 4 in Landsat-8 data were sensitive to suspended sediment, and Band 1, Band 2 and Band 3 were sensitive to chlorophyll-a. However, the single-band model was not accurate enough to retrieve the concentration of suspended sediment or chlorophyll-a, therefore, a combination estimation model was established. The correlation coefficient, average relative error and inversion accuracy of suspended sediment concentration inversion model using Band 1, Band 2 and Band 4 were 0.904, 10.24% and 89.76%, respectively. The correlation coefficient, average relative error and inversion accuracy of chlorophyll-a concentration inversion model using Band 1, Band 2 and Band 3 were 0.886, 11.27% and 88.73%, respectively.

Keywords: Landsat-8   suspended sediment   chlorophyll-a   estimation model   spatial distribution  
收稿日期 2016-08-23 修回日期 2016-10-30 网络版发布日期  
DOI: 10.3969/j.issn.1004-5589.2017.02.029
基金项目:

乐东工区遥感地质解译和国家地质矿产调查评价项目(1212011087112).

通讯作者: 陈圣波(1967),男,教授,博士生导师,主要从事定量遥感、地理信息系统研究.E-mail:chensb@jlu.edu.cn
作者简介:
作者Email: chensb@jlu.edu.cn

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