富营养化水体颗粒有机碳浓度的遥感估算及动态变化特征

基于2011年5次太湖水体现场测量数据,分析富营养化水体颗粒有机碳（POC）对遥感反射比的影响,构建了POC含量的遥感定量估算模型,并结合MERIS遥感影像资料,揭示了太湖水体POC浓度的时空变化特征.结果表明,太湖水体中的POC对560~709 nm波段范围内的遥感反射比影响显著;基于海洋水环境特征构建的POC浓度遥感估算模型不适于太湖水体;通过分析富营养化水体的光学特性以及POC对遥感反射比的影响,发现MERIS传感器红（620 nm）、近红外（709 nm）波段遥感反射比的比值与POC浓度具有较好的相关关系（R2=0.75,n=132,RMSE=33.27%,P〈0.05）,适于太湖水体...

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Bibliographic Details
Published in红外与毫米波学报 Vol. 34; no. 2; pp. 203 - 210
Main Author 姜广甲 苏文 马荣华 段洪涛 蔡伟叙 黄楚光 阳杰 余威
Format Journal Article
LanguageChinese
Published 国家海洋局南海环境监测中心,广东广州510300 2015
中国科学院南京地理与湖泊研究所湖泊与环境国家重点实验室,江苏南京210008%国家海洋局南海海洋工程勘察与环境研究院,广东广州,510310%中国科学院南京地理与湖泊研究所湖泊与环境国家重点实验室,江苏南京,210008%国家海洋局南海环境监测中心,广东广州,510300
Subjects
POC
叶绿素a
太湖
碳循环
类水体
POC
Case Ⅱ waters
太湖
碳循环
类水体
carbon cycle
叶绿素a
Taihu Lake
chlorophyll a
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ISSN1001-9014
DOI10.11972/j.issn.1001-9014.2015.02.014

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Summary:基于2011年5次太湖水体现场测量数据,分析富营养化水体颗粒有机碳（POC）对遥感反射比的影响,构建了POC含量的遥感定量估算模型,并结合MERIS遥感影像资料,揭示了太湖水体POC浓度的时空变化特征.结果表明,太湖水体中的POC对560~709 nm波段范围内的遥感反射比影响显著;基于海洋水环境特征构建的POC浓度遥感估算模型不适于太湖水体;通过分析富营养化水体的光学特性以及POC对遥感反射比的影响,发现MERIS传感器红（620 nm）、近红外（709 nm）波段遥感反射比的比值与POC浓度具有较好的相关关系（R2=0.75,n=132,RMSE=33.27%,P〈0.05）,适于太湖水体POC浓度的遥感估算.
Bibliography:Taihu Lake, POC, carbon cycle, chlorophyll a, Case Ⅱ waters
31-1577/TN
Based on five filed cruises in 2011 from Taihu Lake, the effect of particulate organic carbon （POC） assem- bles on remote sensing reflectance of water was performed to develop a new POC estimation algorithm for eutrophic in- land waters. The optical model was used with monthly MERIS data to assess the temporal and spatial variability of sur- face POC reservoirs in Taihu Lake. The results demonstrated that the particulate organisms highly controlled the remote sensing reflectance of water in the range of 560 ~ 709 nm in this lake. The approaches from ocean color did not provide good estimates of POC concentrations in Taihu Lake, a more optically complex water dominated by inorganic detritus. By investigating the optical properties of the eutrophic water, we found that POC was distinctly correlated to the remote sensing reflectance ratio （ Rrs （ 620 ）/Rrs （ 709 ） ） with high R2 = 0.75 and low RMSE = 33.27 % , the correlation of which provided
ISSN:1001-9014
DOI:10.11972/j.issn.1001-9014.2015.02.014