基于GOCI影像反演湖泊悬浮物和叶绿素a含量的研究述评
|
摘要
悬浮颗粒物和叶绿素a是两个重要的湖泊水质参数,常用来衡量湖泊的富营养化程度。阐述了基于GOCI数据的湖泊悬浮颗粒物和叶绿素a浓度反演的研究现状,分析了几种大气校正方法对于GOCI数据的适宜性,发现基于6S模型的大气校正取得的效果最好。对比了GOCI的几种用于叶绿素a和悬浮颗粒物反演的模型,发现基于经验方法的反演虽然简单易行,但缺乏物理依据;基于分析方法的反演机制明确,但较难实现;基于半分析方法的反演是统计水质参数的光谱特征,建立遥感数据的波段组合与水质参数值之间的定量关系,进而估算水质参数含量,此方法较易实现且有一定物理意义。最后,通过总结现状,对利用GOCI反演水体指标的发展提出了一些自己的见解。
The suspended particulate matter and chlorophyll-a,two important parameters of lake water quality,are often used to measure lake eutrophication extent. This paper introduced the research progress of estimating the concentration of suspended particulate matter and chlorophyll-a in lakes based on GOCI images,analyzed the suitability of several atmospheric correction methods for GOCI data,and found that the atmospheric correction based on 6S model had the best effect. Several inversion models of GOCI for chlorophyll a and suspended particulate matter were compared. The results showed that the inversion based on empirical method was simple and easy to implement,but it was lack of physical basis; the inversion based on the analysis method had clear mechanism,but was difficult to realize; the inversion basedon semi-analysis method was to do the statistics for the spectral features of water quality parameters,to establish a quantitative relationship between water quality parameters and band combination of remote sensing data values,and then estimate the content of water quality parameters. This method was easy to realize and had certain physical meanings. Finally,the status quo was summarized and some own opinions about the development of the water indicators retrievals from GOCI data were put forward.
The suspended particulate matter and chlorophyll-a,two important parameters of lake water quality,are often used to measure lake eutrophication extent. This paper introduced the research progress of estimating the concentration of suspended particulate matter and chlorophyll-a in lakes based on GOCI images,analyzed the suitability of several atmospheric correction methods for GOCI data,and found that the atmospheric correction based on 6S model had the best effect. Several inversion models of GOCI for chlorophyll a and suspended particulate matter were compared. The results showed that the inversion based on empirical method was simple and easy to implement,but it was lack of physical basis; the inversion based on the analysis method had clear mechanism,but was difficult to realize; the inversion basedon semi-analysis method was to do the statistics for the spectral features of water quality parameters,to establish a quantitative relationship between water quality parameters and band combination of remote sensing data values,and then estimate the content of water quality parameters. This method was easy to realize and had certain physical meanings. Finally,the status quo was summarized and some own opinions about the development of the water indicators retrievals from GOCI data were put forward.
引文
[1]Giardino C,Pepe M,Brivio P A,et al.Detecting chlorophyll,Secchi disk depth and surface temperature in a sub-alpine lake using Landsat imagery[J].Science of the Total Environment,2001,268(1-3):19-29.
[2]陈荷生.太湖生态修复治理工程[J].长江流域资源与环境,2001,10(2):173-178.
[3]李云亮,张运林.基于TM影像的太湖夏季悬浮物和叶绿素a浓度反演[J].遥感信息,2008(6):22-27+80.
[4]Cole B E,Cloern J E.An empirical model for estimating phytoplankton productivity in estuaries[J].Marine Ecology Progress,1987,36(3):299-305.
[5]Zhang Yunlin,Wu Zhixu,Liu Mingliang,et al.Thermal structure and response to long-term climatic changes in Lake Qiandaohu,a deep subtropical reservoir in China[J].Limnology&Oceanography,2014,59(4):1193-1202.
[6]Ritchie J C,Cooper C M,Schiebe F R.The relationship of MSS and TM digital data with suspended sediments,chlorophyll,and temperature in Moon Lake,Mississippi[J].Remote Sensing of Environment,1990,33(2):137-148.
[7]尹球,疏小舟,徐兆安,等.湖泊水环境指标的超光谱响应特征分析[J].红外与毫米波学报,2004,23(6):427-430+435.
[8]于浩,李宁.湖泊碳循环及碳通量的估算方法[J].环境科技,2008,21(S2):1-5.
[9]丛丕福.海洋叶绿素遥感反演及海洋初级生产力估算研究[D].北京:中国科学院研究生院(遥感应用研究所),2006.
[10]Miller R L,Mckee B A.Using MODIS Terra 250 m imagery to map concentrations of total suspended matter in coastal waters[J].Remote Sensing of Environment,2004,93(1-2):259-266.
[11]Hovis W A,Clark D K,Anderson F,et al.Nimbus-7coastal zone color scanner:system description and initial imagery[J].Science,1980,210(4465):60-63.
[12]Arst H,Reinart A.Application of optical classifications to North Europ an lakes[J].Aquatic Ecology,2009,43(4):789-801.
[13]马荣华,唐军武,段洪涛,等.湖泊水色遥感研究进展[J].湖泊科学,2009,21(2):143-158.
[14]Vincent R K,Qin Xiaoming,Mckay RML,et al.Phycocyanin detection from LANDSAT TM data for mapping cyanobacterial blooms in Lake Erie[J].Remote Sensing of Environment,2004,89(3):381-392.
[15]Han Luoheng,Jordan K J.Measuring algal chlorophyll concentration in Pensacola Bay,Florida using Landsat ETM+data[J].International Journal of Remote Sensing,2005,26(23):5245-5254.
[16]Kubryakov A,Stanichny S,Zatsepin A.River plume dynamics in the Kara Sea from altimetry-based lagrangian model,satellite salinity and chlorophyll data[J].Remote Sensing of Environment,2016(176):177-187.
[17]Zhang Minwei,Tang Junwu,Dong Qing,et al.Retrieval of total suspended matter concentration in the Yellow and East China Seas from MODIS imagery[J].Remote Sensing of Environment,2010,114(2):392-403.
[18]Ruddick K,Park Y,Nechad B.MERIS imagery over belgian coastal waters:Mapping of suspended particulate matter and chlorophyll-A[C]//.Proceedings of MERIS User Workshop(ESA SP-549),Frascati,Italy,2003.
[19]Zhang Yunlin,Shi Kun,Liu Xiaohan,et al.Lake topography and wind waves determining seasonal-spatial dynamics of total suspended matter in turbid Lake Taihu,China:assessment using long-term high-resolution MERIS data[J].PLo S ONE,2014,9(5):e98055.
[20]Watanabe F S Y,Alcntara E,Rodrigues T W P,et al.Estimation of Chlorophyll-a concentration and the trophic state of the Barra Bonita Hydroelectric Reservoir using OLI/Landsat-8 Images[J].International Journal of Environmental Research&Public Health,2015,12(9):10391-10417.
[21]Lymburner L,Botha E,Hestir E,et al.Landsat 8:Providing continuity and increased precision for measuring multi-decadal time series of total suspended matter[J].Remote Sensing of Environment,2016,185:108-118.
[22]刘良明,祝家东.海洋水色遥感器发展趋势初探[J].遥感信息,2011(2):111-119.
[23]周艺,周伟奇,王世新,等.遥感技术在内陆水体水质监测中的应用[J].水科学进展,2004,15(3):312-317.
[24]Kloiber S M,Brezonik P L,Olmanson L G,et al.A procedure for regional lake water clarity assessment using Landsat multispectral data[J].Remote Sensing of Environment,2002,82(1):38-47.
[25]杨伟,陈晋,松下文经.基于生物光学模型的水体叶绿素浓度反演算法[J].光谱学与光谱分析,2009,29(1):38-42.
[26]Ma Ronghua,Dai Jinfang.Investigation of chlorophyll-a and total suspended matter concentrations using Landsat ETM and field spectral measurement in Taihu Lake,China[J].International Journal of Remote Sensing,2007,26(13):2779-2795.
[27]Moses W J,Gitelson A A,Berdnikov S,et al.Estimation of chlorophyll-a concentration in case II waters using MODIS and MERIS data-successes and challenges[J].Environmental Research Letters,2009,4(4):549-567.
[28]丘仲锋,崔廷伟,何宜军.基于水体光谱特性的赤潮分布信息MODIS遥感提取[J].光谱学与光谱分析,2011,31(8):2233-2237.
[29]张毅博,张运林,査勇,等.基于Landsat 8影像估算新安江水库总悬浮物浓度[J].环境科学,2015,36(1):56-63.
[30]黄昌春,李云梅,王桥,等.太湖水体悬浮颗粒物生物光学模型及MERIS数据反演[J].红外与毫米波学报,2012,31(4):367-374.
[31]Gumsil Kang,Songdoug Kang,Sangsoon Yong,et al.Korea geostationary ocean color imager(KGOCI)[C]//.Geoscience and Remots Sensing Symposium,2004.
[32]李冠男,王林,王祥,等.静止水色卫星GOCI及其应用进展[J].海洋环境科学,2014,33(6):966-971.
[33]Ruddick K,Vanhellemont Q,Yan Jing,et al.Variability of suspended particulate matter in the Bohai Sea from the Geostationary Ocean Color Imager(GOCI)[J].Ocean Science Journal,2012,47(3):331-345.
[34]冯驰,金琦,王艳楠,等.基于GOCI影像和水体光学分类的内陆湖泊叶绿素a浓度遥感估算[J].环境科学,2015,36(5):1557-1564.
[35]Doxaran D,Lamquin N,Park Y J,et al.Retrieval of the seawater reflectance for suspended solids monitoring in the East China Sea using MODIS,MERIS and GOCI satellite data[J].Remote Sensing of Environment,2014,146(5):36-48.
[36]Duan Hongtao,Ma Ronghua,Hu Chuanmin.Evaluation of remote sensing algorithms for cyanobacterial pigment retrievals during spring bloom formation in several lakes of East China[J].Remote Sensing of Environment,2012,126(11):126-135.
[37]Gong Shaoqi,Huang Jiazhu,Li Yunmei,et al.Comparison of atmospheric correction algorithms for TM image in inland waters[J].International Journal of Remote Sensing,2008,29(8):2199-2210.
[38]Gregor B,Adlergolden S M.Quick atmospheric correction code:algorithm description and recent upgrades[J].Optical Engineering,2012,51(11):1371-1379.
[39]江彬彬,张霄宇,黄大松,等.基于GOCI的近岸高浓度悬浮泥沙遥感反演——以杭州湾及邻近海域为例[J].浙江大学学报(理学版),2015,42(2):220-227.
[40]查桂红.基于GOCI影像的内陆水体悬浮物浓度遥感估算研究[D].南京:南京师范大学,2013.
[41]Son Y K,Min J E,Ryu J H.Detecting massive green algae(Ulva prolifera)blooms in the Yellow Sea and East China Sea using Geostationary Ocean Color Imager(GOCI)data[J].Ocean Science Journal,2012,47(3):359-375.
[42]郭宇龙,李云梅,李渊,等.一种基于GOCI数据的叶绿素a浓度三波段估算模型[J].环境科学,2015,36(9):3175-3185.
[43]Ostlund C,Flink P,Str9mbeck N,et al.Mapping of the water quality of Lake Erken,Sweden,from imaging spectrometry and Landsat Thematic Mapper[J].Science of the Total Environment,2001,268(1-3):139-154.
[44]曾银东,商少凌,张彩云,等.南海东北部基于标准经验算法的遥感叶绿素a反演结果比较分析[J].海洋科学,2004,28(8):14-18.
[45]施坤,李云梅,刘忠华,等.基于半分析方法的内陆湖泊水体总悬浮物浓度遥感估算研究[J].环境科学,2011,32(6):1571-1580.
[46]吕恒,江南,李新国.内陆湖泊的水质遥感监测研究[J].地球科学进展,2005,20(2):185-192.
[47]李渊.基于数据同化的太湖叶绿素浓度遥感估算[D].南京:南京师范大学,2014.
[48]李云梅,黄家柱,陆皖宁,等.基于分析模型的太湖悬浮物浓度遥感监测[J].海洋与湖沼,2006,37(2):171-177.
[49]Kim W,Moon J E,Park Y,et al.Evaluation of chlorophyll retrievals from Geostationary Ocean Color Imager(GOCI)for the North-East Asian region[J].Remote Sensing of Environment,2016,184:482-495.
[50]包颖,田庆久,陈旻,等.基于GOCI影像分类的太湖水体叶绿素a浓度日变化分析[J].光谱学与光谱分析,2016,36(8):2562-2567.
[51]程慧荣,张晓阳,孙坦,等.基于Web of Science的本体研究论文定量分析[J].现代图书情报技术,2006,(11):46-50.
[2]陈荷生.太湖生态修复治理工程[J].长江流域资源与环境,2001,10(2):173-178.
[3]李云亮,张运林.基于TM影像的太湖夏季悬浮物和叶绿素a浓度反演[J].遥感信息,2008(6):22-27+80.
[4]Cole B E,Cloern J E.An empirical model for estimating phytoplankton productivity in estuaries[J].Marine Ecology Progress,1987,36(3):299-305.
[5]Zhang Yunlin,Wu Zhixu,Liu Mingliang,et al.Thermal structure and response to long-term climatic changes in Lake Qiandaohu,a deep subtropical reservoir in China[J].Limnology&Oceanography,2014,59(4):1193-1202.
[6]Ritchie J C,Cooper C M,Schiebe F R.The relationship of MSS and TM digital data with suspended sediments,chlorophyll,and temperature in Moon Lake,Mississippi[J].Remote Sensing of Environment,1990,33(2):137-148.
[7]尹球,疏小舟,徐兆安,等.湖泊水环境指标的超光谱响应特征分析[J].红外与毫米波学报,2004,23(6):427-430+435.
[8]于浩,李宁.湖泊碳循环及碳通量的估算方法[J].环境科技,2008,21(S2):1-5.
[9]丛丕福.海洋叶绿素遥感反演及海洋初级生产力估算研究[D].北京:中国科学院研究生院(遥感应用研究所),2006.
[10]Miller R L,Mckee B A.Using MODIS Terra 250 m imagery to map concentrations of total suspended matter in coastal waters[J].Remote Sensing of Environment,2004,93(1-2):259-266.
[11]Hovis W A,Clark D K,Anderson F,et al.Nimbus-7coastal zone color scanner:system description and initial imagery[J].Science,1980,210(4465):60-63.
[12]Arst H,Reinart A.Application of optical classifications to North Europ an lakes[J].Aquatic Ecology,2009,43(4):789-801.
[13]马荣华,唐军武,段洪涛,等.湖泊水色遥感研究进展[J].湖泊科学,2009,21(2):143-158.
[14]Vincent R K,Qin Xiaoming,Mckay RML,et al.Phycocyanin detection from LANDSAT TM data for mapping cyanobacterial blooms in Lake Erie[J].Remote Sensing of Environment,2004,89(3):381-392.
[15]Han Luoheng,Jordan K J.Measuring algal chlorophyll concentration in Pensacola Bay,Florida using Landsat ETM+data[J].International Journal of Remote Sensing,2005,26(23):5245-5254.
[16]Kubryakov A,Stanichny S,Zatsepin A.River plume dynamics in the Kara Sea from altimetry-based lagrangian model,satellite salinity and chlorophyll data[J].Remote Sensing of Environment,2016(176):177-187.
[17]Zhang Minwei,Tang Junwu,Dong Qing,et al.Retrieval of total suspended matter concentration in the Yellow and East China Seas from MODIS imagery[J].Remote Sensing of Environment,2010,114(2):392-403.
[18]Ruddick K,Park Y,Nechad B.MERIS imagery over belgian coastal waters:Mapping of suspended particulate matter and chlorophyll-A[C]//.Proceedings of MERIS User Workshop(ESA SP-549),Frascati,Italy,2003.
[19]Zhang Yunlin,Shi Kun,Liu Xiaohan,et al.Lake topography and wind waves determining seasonal-spatial dynamics of total suspended matter in turbid Lake Taihu,China:assessment using long-term high-resolution MERIS data[J].PLo S ONE,2014,9(5):e98055.
[20]Watanabe F S Y,Alcntara E,Rodrigues T W P,et al.Estimation of Chlorophyll-a concentration and the trophic state of the Barra Bonita Hydroelectric Reservoir using OLI/Landsat-8 Images[J].International Journal of Environmental Research&Public Health,2015,12(9):10391-10417.
[21]Lymburner L,Botha E,Hestir E,et al.Landsat 8:Providing continuity and increased precision for measuring multi-decadal time series of total suspended matter[J].Remote Sensing of Environment,2016,185:108-118.
[22]刘良明,祝家东.海洋水色遥感器发展趋势初探[J].遥感信息,2011(2):111-119.
[23]周艺,周伟奇,王世新,等.遥感技术在内陆水体水质监测中的应用[J].水科学进展,2004,15(3):312-317.
[24]Kloiber S M,Brezonik P L,Olmanson L G,et al.A procedure for regional lake water clarity assessment using Landsat multispectral data[J].Remote Sensing of Environment,2002,82(1):38-47.
[25]杨伟,陈晋,松下文经.基于生物光学模型的水体叶绿素浓度反演算法[J].光谱学与光谱分析,2009,29(1):38-42.
[26]Ma Ronghua,Dai Jinfang.Investigation of chlorophyll-a and total suspended matter concentrations using Landsat ETM and field spectral measurement in Taihu Lake,China[J].International Journal of Remote Sensing,2007,26(13):2779-2795.
[27]Moses W J,Gitelson A A,Berdnikov S,et al.Estimation of chlorophyll-a concentration in case II waters using MODIS and MERIS data-successes and challenges[J].Environmental Research Letters,2009,4(4):549-567.
[28]丘仲锋,崔廷伟,何宜军.基于水体光谱特性的赤潮分布信息MODIS遥感提取[J].光谱学与光谱分析,2011,31(8):2233-2237.
[29]张毅博,张运林,査勇,等.基于Landsat 8影像估算新安江水库总悬浮物浓度[J].环境科学,2015,36(1):56-63.
[30]黄昌春,李云梅,王桥,等.太湖水体悬浮颗粒物生物光学模型及MERIS数据反演[J].红外与毫米波学报,2012,31(4):367-374.
[31]Gumsil Kang,Songdoug Kang,Sangsoon Yong,et al.Korea geostationary ocean color imager(KGOCI)[C]//.Geoscience and Remots Sensing Symposium,2004.
[32]李冠男,王林,王祥,等.静止水色卫星GOCI及其应用进展[J].海洋环境科学,2014,33(6):966-971.
[33]Ruddick K,Vanhellemont Q,Yan Jing,et al.Variability of suspended particulate matter in the Bohai Sea from the Geostationary Ocean Color Imager(GOCI)[J].Ocean Science Journal,2012,47(3):331-345.
[34]冯驰,金琦,王艳楠,等.基于GOCI影像和水体光学分类的内陆湖泊叶绿素a浓度遥感估算[J].环境科学,2015,36(5):1557-1564.
[35]Doxaran D,Lamquin N,Park Y J,et al.Retrieval of the seawater reflectance for suspended solids monitoring in the East China Sea using MODIS,MERIS and GOCI satellite data[J].Remote Sensing of Environment,2014,146(5):36-48.
[36]Duan Hongtao,Ma Ronghua,Hu Chuanmin.Evaluation of remote sensing algorithms for cyanobacterial pigment retrievals during spring bloom formation in several lakes of East China[J].Remote Sensing of Environment,2012,126(11):126-135.
[37]Gong Shaoqi,Huang Jiazhu,Li Yunmei,et al.Comparison of atmospheric correction algorithms for TM image in inland waters[J].International Journal of Remote Sensing,2008,29(8):2199-2210.
[38]Gregor B,Adlergolden S M.Quick atmospheric correction code:algorithm description and recent upgrades[J].Optical Engineering,2012,51(11):1371-1379.
[39]江彬彬,张霄宇,黄大松,等.基于GOCI的近岸高浓度悬浮泥沙遥感反演——以杭州湾及邻近海域为例[J].浙江大学学报(理学版),2015,42(2):220-227.
[40]查桂红.基于GOCI影像的内陆水体悬浮物浓度遥感估算研究[D].南京:南京师范大学,2013.
[41]Son Y K,Min J E,Ryu J H.Detecting massive green algae(Ulva prolifera)blooms in the Yellow Sea and East China Sea using Geostationary Ocean Color Imager(GOCI)data[J].Ocean Science Journal,2012,47(3):359-375.
[42]郭宇龙,李云梅,李渊,等.一种基于GOCI数据的叶绿素a浓度三波段估算模型[J].环境科学,2015,36(9):3175-3185.
[43]Ostlund C,Flink P,Str9mbeck N,et al.Mapping of the water quality of Lake Erken,Sweden,from imaging spectrometry and Landsat Thematic Mapper[J].Science of the Total Environment,2001,268(1-3):139-154.
[44]曾银东,商少凌,张彩云,等.南海东北部基于标准经验算法的遥感叶绿素a反演结果比较分析[J].海洋科学,2004,28(8):14-18.
[45]施坤,李云梅,刘忠华,等.基于半分析方法的内陆湖泊水体总悬浮物浓度遥感估算研究[J].环境科学,2011,32(6):1571-1580.
[46]吕恒,江南,李新国.内陆湖泊的水质遥感监测研究[J].地球科学进展,2005,20(2):185-192.
[47]李渊.基于数据同化的太湖叶绿素浓度遥感估算[D].南京:南京师范大学,2014.
[48]李云梅,黄家柱,陆皖宁,等.基于分析模型的太湖悬浮物浓度遥感监测[J].海洋与湖沼,2006,37(2):171-177.
[49]Kim W,Moon J E,Park Y,et al.Evaluation of chlorophyll retrievals from Geostationary Ocean Color Imager(GOCI)for the North-East Asian region[J].Remote Sensing of Environment,2016,184:482-495.
[50]包颖,田庆久,陈旻,等.基于GOCI影像分类的太湖水体叶绿素a浓度日变化分析[J].光谱学与光谱分析,2016,36(8):2562-2567.
[51]程慧荣,张晓阳,孙坦,等.基于Web of Science的本体研究论文定量分析[J].现代图书情报技术,2006,(11):46-50.