基于哨兵-3A卫星OLCI数据的最大叶绿素指数在太湖蓝藻水华监测中的应用
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摘要
欧洲航天局于2016年2月16日成功发射哨兵-3A卫星,搭载的水色遥感仪器(OLCI)提供了很好的海洋和内陆水体生态指标观测反演能力。基于OLCI获取的太湖L1b级遥感数据产品,利用OLCI Oa10、Oa11、Oa12波段计算了重要的水色/水生态遥感指标,即最大叶绿素指数(MCI),在此基础上初步分析了MCI在太湖蓝藻水华监测预警中应用效果。研究表明:(1)哨兵-3A卫星OLCI影像质量清晰,构建的MCI能够反映太湖水体叶绿素信号强度;(2)与常用的归一化植被指数相比,在蓝藻没有明显积聚的藻-水混悬水域,MCI与叶绿素浓度有很好的关联,可更灵敏地反映叶绿素浓度的空间分布特征。MCI将在蓝藻监测上具有更好的适用性,可有效提高富营养湖泊蓝藻水华的预警预报精度。
The Sentinel-3A satellite was launched by European Space Agency on February 16,2016. The water color remote sensing instrument OLCI on board Sentinel-3A provides excellent inversion capability of ocean and inland water eco-indicators.Based on the L1b level OLCI remote sensing data,the Maximum Chlorophyll Index( MCI) is introduced in monitoring and early warning of Cyanobacteria blooms in Lake Taihu,it is calculated with OLCI bands Oa10,Oa11 and Oa12.The results show that:(1) Sentinel-3A satellite OLCI image quality is excellent,the derived MCI is a good indicator of spatial distribution of chlorophyll concentration in Lake Taihu.(2) Compared with the widely used NDVI,MCI presents more chlorophyll concentration and spatial distribution details,and is more sensitive in revealing phytoplankton abundance in waters where Cyanobacteria accumulation or scum is not obvious. MCI has proven to be a valuable and versatile tool in Cyanobacteria monitoring,which can improve the accuracy of early warning and forecasting of algae blooms in eutrophic lakes.
The Sentinel-3A satellite was launched by European Space Agency on February 16,2016. The water color remote sensing instrument OLCI on board Sentinel-3A provides excellent inversion capability of ocean and inland water eco-indicators.Based on the L1b level OLCI remote sensing data,the Maximum Chlorophyll Index( MCI) is introduced in monitoring and early warning of Cyanobacteria blooms in Lake Taihu,it is calculated with OLCI bands Oa10,Oa11 and Oa12.The results show that:(1) Sentinel-3A satellite OLCI image quality is excellent,the derived MCI is a good indicator of spatial distribution of chlorophyll concentration in Lake Taihu.(2) Compared with the widely used NDVI,MCI presents more chlorophyll concentration and spatial distribution details,and is more sensitive in revealing phytoplankton abundance in waters where Cyanobacteria accumulation or scum is not obvious. MCI has proven to be a valuable and versatile tool in Cyanobacteria monitoring,which can improve the accuracy of early warning and forecasting of algae blooms in eutrophic lakes.
引文
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[20]庄严,黄君,宋挺,等.“MMA”技术路线在太湖蓝藻水华监测中的应用[J].中国环境监测,2014(5):155-160.ZHUANG Yan,HUANG Jun,SONG Ting,et al.The Application of"MMA"Technical Route in Tai Lake Cyanobacteria Bloom Monitoring[J].Environmental Monitoring in China,2014(5):155-160.
[21]黄君,张虎军,江岚,等.太湖蓝藻水华预警监测综合系统的构建[J].中国环境监测,2015,31(1):139-145.HUANG Jun,ZHANG Hujun,JIANG Lan,et al.Early Warning Monitor Comprehensive System Construction of Cyanobacteria Blooms in Lake Taihu[J].Environmental Monitoring in China,2015,31(1):139-145.
[22]BINDING C E,GREENBERG T A,BUKATA R P,et al.The MERIS MCI and Its Potential for Satellite Detection of Winter Diatom Blooms on Partially IceCovered Lake Erie[J].Journal of Plankton Research,2012,34(6):569-573.
[23]程春梅.顾及时空差异性的太湖水体中叶绿素a浓度的遥感估算实验研究[D].南京师范大学,2014.
[24]BINDING C E,GREENBERG T A,BUKATA R P.The MERIS Maximum Chlorophyll Index;Its Merits and Limitations for Inland Water Algal Bloom Monitoring[J].Journal of Great Lakes Research,2013,39(10):100-107.
[25]PETTERSSON L H,POZDNYAKOV D.Monitoring of Harmful Algal Blooms[J].Springer Berlin,2009,619(2):162-174.
[26]BOYD D S,ALMOND S,DASH J,et al.Phenology of Vegetation in Southern England from Envisat MERISTerrestrial Chlorophyll Index(MTCI)Data[J].International Journal of Remote Sensing,2011,32(23):8 421-8 447.
[27]石浚哲,吴蔚,宋挺,等.基于国产“风云三号”卫星MERSI的太湖蓝藻水华监测业务化应用[J].Environmental Monitoring Forewarning.2018(2):6-10.SHI Junzhe,WU Wei,SONG Ting,,et al.The FY-3/MERSI's Application in Monitoring of Cyanobacteria Bloom in Lake Taihu[J].Environmental Monitoring Forewarning,2018,(2):6-10.
[28]温新龙,景元书,张娣.常见卫星传感器在蓝藻水华监测中的应用进展.[J].环境科学与技术,2014,(1):81-87.WEN Xinlong,JING Yuanshu,ZHANG Di.Review on Application of Common Satellite Sensors in Monitoring Algal Blooms[J].Environmental Science and Technology,2014,(1):81-87.
[29]李旭文,季耿善,杨静.太湖藻类的卫星遥感监测[J].湖泊科学,1995,9(1):65-68.LI Xuwen,JI Gengshai,YANG Jing.Satellite Remote Sensing of Phytoplankton in Taihu Lake[J].Journal of Lake Sciences,1995,9(1):65-68.
[30]李旭文,牛志春,姜晟等.基于卫星影像的太湖蓝藻水华遥感强度指数和等级划分算法设计.[J].环境监测管理与技术,2011,23(5):23-30.LI Xuwen,NIU Zhichun,JIANG Sheng,et al.Design of Intensity Index and Build-Up Degree Classification Algorithm Development for Cyanobacterica Blooms in Lake Taihu Based on Satellite Remote Sensing[J].The Administration and Technique of Environmental Monitoring,2011,23(5):23-30.
[2]ESA.Satellite Description of Sentinel-2.[EB/O L].[2017-04-02].https://earth.esa.int/web/sentinel/missions/sentinel-2/satellite-description.
[3]龚燃.哨兵-2A光学成像卫星发射升空[J].国际太空,2015(8):36-40.GONG Ran.Sentinel-2A Satellite Launches[J].Space International,2015(8):36-40.
[4]VANHELLEMONT Q,RUDDICK K.Advantages of High Quality SWIR Bands for Ocean Colour Processing:Examples from Landsat-8[J].Remote Sensing of Environment,2015,161:89-106.
[5]STRATOULIAS D,BALZTER H,SYKIOTI O,et al.Evaluating Sentinel-2 for Lakeshore Habitat Mapping Based on Airborne Hyperspectral Data[J].Sensors,2015,15(9):22 956-22 969.
[6]Liu G,Simis S G H,Li L,et al.A Four-Band Semianalytical Model for Estimating Phycocyanin in Inland Waters From Simulated MERIS and OLCI Data[J].IEEE Transactions on Geoscience&Remote Sensing,2018,56(3):1374-1385.
[7]The Website of the European Space Agency's Copernicus(Global Environmental and Security Monitoring)Program[EB/OL].[2017-11-02].http://www.copernicus.eu.
[8]李旭文,侍昊,王甜甜,等.基于哨兵-3A OLCI影像的太湖蓝藻水华荧光基线高度指数信号特征分析[J].环境监控与预警,2018,10(3):9-13.LI Xuwen,SHI Hao,WANG Tiantian,et al.The Sentinel-3A OLCI Fluorescence Line Height(FLH)Signal Pattern of Cyanobacteria Blooms in Taihu Lake[J].Environmental Monitoring and Forewarning,2018,10(3):9-13.
[9]GITELSON A.The Peak near 700 nm on Radiance Spectra of Algae and Water:Relationships of Its Magnitude and Position with Chlorophyll Concentration[J].International Journal of Remote Sensing,2007,13(17):3 367-3 373.
[10]GITELSON A,GARBUZOV G,SZILAGYI F,et al.Quantitative Remote Sensing Methods for Real-Time Monitoring of Inland Waters Quality[J].International Journal of Remote Sensing,1993,14(7):1 269-1 295.
[11]HAN L,RUNDQUIST D C,LIU L L,et al.The Spectral Responses of Algal Chlorophyll in Water with Varying Levels of Suspended Sediment[J].International Journal of Remote Sensing,1994,15(18):3 707-3 718.
[12]RUNDQUIST D C,HAN L,SCHALLES J F,et al.Remote Measurement of Algal Chlorophyll in Surface Waters:the Case for the First Derivative of Reflectance near 690 nm.[J].Photogrammetric Engineering&Remote Sensing,1996,62(2):195-200.
[13]BINDING C E,GREENBERG T A,JEROME J H,et al.An Assessment of MERIS Algal Products During an Intense Bloom in Lake of the Woods[J].Journal of Plankton Research,2011,33(33):793-806.
[14]BINDING C E,GREENBERG T A,BUKATA R P.Time Series Analysis of Algal Blooms in Lake of the Woods Using the MERIS Maximum Chlorophyll Index[J].Journal of Plankton Research,2011,33(12):1 847-1 582.
[15]GOWER J,KING S,GONCALVES P.Global Monitoring of Plankton Blooms Using MERIS MCI[J].International Journal of Remote Sensing,2008,29(21):6 209-6 216.
[16]GOWER J,KING S,BORSTAD G,et al.The Importance of a Band at 709 nm for Interpreting Water-Leaving Spectral Radiance[J].Canadian Journal of Remote Sensing,2008,34(3):287-295.
[17]于洋,彭福利,孙聪,等.典型湖泊水华特征及相关影响因素分析[J].中国环境监测,2017,33(2):88-94.YU Yang,PENG Fuli,SUN Cong,et al.Analysis on the Characteristics and Impact Factors of Water Bloom in the Lake[J]Environmental Monitoring in China,2017,33(2):88-94.
[18]吴传庆,王桥,杨志峰,等.太湖水华的遥感分析[J].中国环境监测,2007,23(3):52-56.WU Chuanqing,WANG Qiao,YANG Zhifeng.et al.Remote Sensing Analysis of Algae Bloom in Taihu Lake[J]Environmental Monitoring in China,,2007,(3):52-56.
[19]翁建中,李继影,梁柱,等.太湖蓝藻水华时空分布与预警监测响应的分析[J].环境监控与预警,2010,2(3):1-4.WENG Jianzhong,LI Jiying,LIANG Zhu,et al.Environmental Monitoring and Forewarning[J].Environmental Monitoring and Forewarning,2010,2(3):1-4
[20]庄严,黄君,宋挺,等.“MMA”技术路线在太湖蓝藻水华监测中的应用[J].中国环境监测,2014(5):155-160.ZHUANG Yan,HUANG Jun,SONG Ting,et al.The Application of"MMA"Technical Route in Tai Lake Cyanobacteria Bloom Monitoring[J].Environmental Monitoring in China,2014(5):155-160.
[21]黄君,张虎军,江岚,等.太湖蓝藻水华预警监测综合系统的构建[J].中国环境监测,2015,31(1):139-145.HUANG Jun,ZHANG Hujun,JIANG Lan,et al.Early Warning Monitor Comprehensive System Construction of Cyanobacteria Blooms in Lake Taihu[J].Environmental Monitoring in China,2015,31(1):139-145.
[22]BINDING C E,GREENBERG T A,BUKATA R P,et al.The MERIS MCI and Its Potential for Satellite Detection of Winter Diatom Blooms on Partially IceCovered Lake Erie[J].Journal of Plankton Research,2012,34(6):569-573.
[23]程春梅.顾及时空差异性的太湖水体中叶绿素a浓度的遥感估算实验研究[D].南京师范大学,2014.
[24]BINDING C E,GREENBERG T A,BUKATA R P.The MERIS Maximum Chlorophyll Index;Its Merits and Limitations for Inland Water Algal Bloom Monitoring[J].Journal of Great Lakes Research,2013,39(10):100-107.
[25]PETTERSSON L H,POZDNYAKOV D.Monitoring of Harmful Algal Blooms[J].Springer Berlin,2009,619(2):162-174.
[26]BOYD D S,ALMOND S,DASH J,et al.Phenology of Vegetation in Southern England from Envisat MERISTerrestrial Chlorophyll Index(MTCI)Data[J].International Journal of Remote Sensing,2011,32(23):8 421-8 447.
[27]石浚哲,吴蔚,宋挺,等.基于国产“风云三号”卫星MERSI的太湖蓝藻水华监测业务化应用[J].Environmental Monitoring Forewarning.2018(2):6-10.SHI Junzhe,WU Wei,SONG Ting,,et al.The FY-3/MERSI's Application in Monitoring of Cyanobacteria Bloom in Lake Taihu[J].Environmental Monitoring Forewarning,2018,(2):6-10.
[28]温新龙,景元书,张娣.常见卫星传感器在蓝藻水华监测中的应用进展.[J].环境科学与技术,2014,(1):81-87.WEN Xinlong,JING Yuanshu,ZHANG Di.Review on Application of Common Satellite Sensors in Monitoring Algal Blooms[J].Environmental Science and Technology,2014,(1):81-87.
[29]李旭文,季耿善,杨静.太湖藻类的卫星遥感监测[J].湖泊科学,1995,9(1):65-68.LI Xuwen,JI Gengshai,YANG Jing.Satellite Remote Sensing of Phytoplankton in Taihu Lake[J].Journal of Lake Sciences,1995,9(1):65-68.
[30]李旭文,牛志春,姜晟等.基于卫星影像的太湖蓝藻水华遥感强度指数和等级划分算法设计.[J].环境监测管理与技术,2011,23(5):23-30.LI Xuwen,NIU Zhichun,JIANG Sheng,et al.Design of Intensity Index and Build-Up Degree Classification Algorithm Development for Cyanobacterica Blooms in Lake Taihu Based on Satellite Remote Sensing[J].The Administration and Technique of Environmental Monitoring,2011,23(5):23-30.