基于CBERS-2B卫星图像的第三河水库叶绿素-a浓度和光带极限(Córdoba-Argentina)

Q3 Environmental Science
M. Bonansea, Claudia Ledesma, C. Rodríguez, Angel R. S. Delgado
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引用次数: 4

摘要

遥感器提供的卫星图像是监测、控制和管理水资源的重要工具。这项工作的目的是利用CBERS-2B卫星和地理信息系统(SIG)的图像,模拟里约热内卢Tercero水库(阿根廷科尔多瓦)叶绿素-a浓度的空间分布和光带的极限。我们在2008年秋季选取了15个采样地点,从中测量了物理、化学和生物参数。通过使用来自CBERS-2B传感器的地理参考图像并进行主成分(ACP)分析,我们能够确定变量与卫星波段反射率值之间的关联。基于这些关联,利用简单的回归模型,我们可以知道整个水库叶绿素a浓度(R2 = 0.73)和光带极限(R2 = 0.78)的空间分布。我们可以得出结论,里约热内卢Tercero水库的叶绿素a浓度与水透明度之间存在负相关关系,并且所使用的传感器可以在相对较短的时间内对水质进行评价。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Concentration of chlorhophyll-a and the limit of the photic zone in the Third River reservoir (Córdoba-Argentina), using images from CBERS-2B satellite
The satellite images provided by remote sensors represent an important tool for monitoring, controlling and administering water resources. The aim of this work was to model the spatial distribution of the concentration of chlorhophyll-a and the limit of the photic zone in the Rio Tercero reservoir (Cordoba-Argentina), using images from CBERS-2B satellite and a geographical information system (SIG). We selected 15 samples places wherefrom we measured physical, chemical and biological parameters during the fall of 2008. By using a georeferenced image from sensor CBERS-2B and performing an analysis of the principal components (ACP), we were able to identify associations between variables and reflectance values of the satellite bands. Based on these associations and with simple regression models, we were able to know the spatial distribution of the variables: concentration of chlorophyll-a (R2 = 0, 73) and the limit of the photic zone (R2 = 0, 78) in the reservoir as a whole. We may conclude thata there exists a negative correlation between the concentration of chlorophyll-a and the water transparency in reservoir Rio Tercero, as well as that the sensor used allows us to evaluate the quality of the water in a relative short time.
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来源期刊
Revista Ambiente e Agua
Revista Ambiente e Agua Environmental Science-Environmental Science (all)
CiteScore
1.80
自引率
0.00%
发文量
48
审稿时长
22 weeks
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