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利用遥感提取和实验室荧光测定法验证拉各斯泻湖中的叶绿素浓度。

Validating chlorophyll- concentrations in the Lagos Lagoon using remote sensing extraction and laboratory fluorometric methods.

作者信息

Ayeni A O, Adesalu T A

机构信息

Department of Geography, University of Lagos, Lagos, Nigeria.

Department of Botany, University of Lagos, Lagos, Nigeria.

出版信息

MethodsX. 2018 Sep 29;5:1204-1212. doi: 10.1016/j.mex.2018.09.014. eCollection 2018.

DOI:10.1016/j.mex.2018.09.014
PMID:30622920
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6317052/
Abstract

Remote sensing data is a viable alternative for mapping pigment concentrations in water body, and consequently, the trophic. Chlorophyll-) is present in all phytoplankton species. This study therefore uses laboratory fluorometric and remote sensing extraction methods for assessing chlorophyll- concentration in the Lagos Lagoon. The fluorometer was calibrated with a commercially available chlorophyll- standard before used in the laboratory to estimates chlorophyll- concentration. Landsat 7 (ETM+) and Landsat 8 (OLI) were acquired for the remote sensing method. The Landsat data were first geometrically rectified. Then brightness values were converted to reflectance through the radiometric correction process. For the regression models, logarithmically transformed chlorophyll- was used as the dependent variable. Single bands, band ratios and logarithmically transformed band ratios were the independent variables. R2 values were computed and evaluated. •Chlorophyll-a contributes to productive water bodies•laboratory fluorometric and remote sensing extraction methods•Landsat data acquired for the remote sensing method.

摘要

遥感数据是绘制水体中色素浓度以及相应营养状态的一种可行替代方法。叶绿素-a存在于所有浮游植物物种中。因此,本研究采用实验室荧光法和遥感提取法来评估拉各斯泻湖中的叶绿素-a浓度。在实验室用于估计叶绿素-a浓度之前,先用市售叶绿素-a标准品对荧光计进行校准。利用陆地卫星7号(ETM+)和陆地卫星8号(OLI)进行遥感方法研究。陆地卫星数据首先进行几何校正。然后通过辐射校正过程将亮度值转换为反射率。对于回归模型,将对数变换后的叶绿素-a用作因变量。单波段、波段比值和对数变换后的波段比值作为自变量。计算并评估R2值。•叶绿素-a对水体生产力有贡献•实验室荧光法和遥感提取法•为遥感方法获取的陆地卫星数据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7364/6317052/46e6d374f4cc/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7364/6317052/92ad2d55c59a/fx1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7364/6317052/a41d90995782/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7364/6317052/46e6d374f4cc/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7364/6317052/92ad2d55c59a/fx1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7364/6317052/a41d90995782/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7364/6317052/46e6d374f4cc/gr2.jpg

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本文引用的文献

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Estimation of Chlorophyll-a Concentration and the Trophic State of the Barra Bonita Hydroelectric Reservoir Using OLI/Landsat-8 Images.利用OLI/Landsat-8影像估算巴拉博尼塔水电站水库的叶绿素a浓度和营养状态
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2
Hyperspectral sensing for turbid water quality monitoring in freshwater rivers: Empirical relationship between reflectance and turbidity and total solids.用于淡水河浑浊水质监测的高光谱传感:反射率与浊度及总固体之间的经验关系
Sensors (Basel). 2014 Nov 28;14(12):22670-88. doi: 10.3390/s141222670.
3
Water quality assessment using remote sensing techniques: Medrano Creek, Argentina.
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J Environ Manage. 2006 Dec;81(4):429-33. doi: 10.1016/j.jenvman.2005.11.019. Epub 2006 Apr 18.
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Water quality change in reservoirs of Shenzhen, China: detection using LANDSAT/TM data.中国深圳水库水质变化:利用陆地卫星/TM数据进行检测
Sci Total Environ. 2004 Jul 26;328(1-3):195-206. doi: 10.1016/j.scitotenv.2004.02.020.
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Relationships between leaf chlorophyll content and spectral reflectance and algorithms for non-destructive chlorophyll assessment in higher plant leaves.高等植物叶片叶绿素含量与光谱反射率的关系及叶片叶绿素无损评估算法
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Chlorophyll fluorescence--a practical guide.叶绿素荧光——实用指南。
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