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1、中國(guó)環(huán)境科學(xué)2010,30(9):1268~1273ChinaEnvironmentalScience基于環(huán)境一號(hào)衛(wèi)星的太湖葉綠素a濃度提取1,23*4511,2曠達(dá),韓秀珍,劉翔,詹雅婷,牛錚,王李娟(1.中國(guó)科學(xué)院遙感應(yīng)用研究所,遙感科學(xué)國(guó)家重點(diǎn)實(shí)驗(yàn)室,北京100101;2.中國(guó)科學(xué)院研究生院,北京100139;3.中國(guó)氣象局國(guó)家衛(wèi)星氣象中心,北京100081;4.北京東方泰坦科技股份有限公司,北京100083;5.南京信息工程大學(xué)氣象災(zāi)害省部共建教育部重點(diǎn)實(shí)驗(yàn)室,江蘇南京210044)摘要:綜合環(huán)境一號(hào)小衛(wèi)星的CCD數(shù)據(jù)和
2、同步地面水質(zhì)監(jiān)測(cè)數(shù)據(jù),發(fā)現(xiàn)可見(jiàn)光紅波段與近紅外波段的波段組合與葉綠素a實(shí)測(cè)濃度存在較高相關(guān)性,并以此為基礎(chǔ)建立了3個(gè)提取水體表層葉綠素a濃度的遙感信息模型.經(jīng)驗(yàn)證分析,基于近紅外波段與紅波段比值的模型用于3葉綠素a濃度反演提取的精度良好,RMSE達(dá)到了6.04mg/m.將該模型應(yīng)用于環(huán)境一號(hào)衛(wèi)星CCD數(shù)據(jù),生成了2009年5~12月共8幅太湖水體葉綠素a濃度分布圖,并對(duì)其進(jìn)行了時(shí)空分析,結(jié)果符合實(shí)際,并與以往的研究結(jié)果相一致.但模型不適用于水生植被覆蓋較多區(qū)域葉綠素a濃度估算.關(guān)鍵詞:環(huán)境一號(hào)衛(wèi)星;遙感;葉綠素a中圖分類號(hào):X8
3、7文獻(xiàn)標(biāo)識(shí)碼:A文章編號(hào):1000-6923(2010)09-1268-061,2QuantitativeestimationofTaihuchlorophyll-aconcentrationusingHJ-1Aand1BCCDimagery.KUANGDa,3*4511,2HANXiu-zhen,LIUXiang,ZHANYa-ting,NIUZheng,WANGLi-juan(1.StateKeyLaboratoryofRemoteSensingScience,InstituteofRemoteSensingApplicat
4、ions,ChineseAcademyofSciences,Beijing100101,China;2.GraduateUniversityofChineseAcademyofScience,Beijing100049,China;3.NationalSatelliteMeteorologicalCenter,ChinaMeteorologicalAdministration,Beijing110008,China;4.BeijingOrientalTitanTechnologyCorporation,Beijing100083
5、,China;5.KeyLaboratoryofMeteorologicalDisaster,MinistryofEducation,NanjingUniversityofInformationScienceandTechnology,Nanjing210044,China).ChinaEnvironmentalScience,2010,30(9):1268~1273Abstract:Inthisstudy,modelsestimatingwaterchlorophyll-aconcentrationhavebeenpropos
6、edandcalibrated,basedontheregressionanalysisbetweenHJ-1satelliteCCDimagesandsynchronousin-situwaterqualitymonitoringdata,rangingfromSeptembertoDecemberin2008onTaihu,JiangsuProvince.TheredandnearinfraredbandsofHJ-1Aand1BCCDdata,withcentralwavelengthat660nmand830nmresp
7、ectively,haveshowntobesensitivetothechlorophyll-aconcentration.Threemodelshasbeenbuiltandvalidated.Theresultsillustratethehighpotentialsofthemodelstoestimatechlorophyll-aconcentrationininlandwatersforoperationalapplicationsfromsatelliteHJ-1satelliteCCDdata,whichwillb
8、eofimmensevalueforenvironmentmonitoring.Amongthethreemodelsbeenproposed,theonebasedon3indexR830/R660hasthehighestestimationprecisio