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1、中國農業(yè)科技導報,2010,12(3):79-83JournalofAgriculturalScienceandTechnology基于CBERS遙感的冬小麥長勢分級監(jiān)測11,22李衛(wèi)國,李正金,楊澄(1.江蘇省農業(yè)科學院資源與環(huán)境研究所,南京210014;2.南京信息工程大學應用氣象學院,南京210044)摘要:應用遙感信息技術,可實時對冬小麥長勢進行分級監(jiān)測預報,便于農業(yè)部門及時制定和實施相應的管理措施,達到目標化生產的目的。以江蘇省姜堰市為例,進行了基于中巴資源衛(wèi)星(CBERS0
2、2)遙感的冬小麥拔節(jié)期長勢分級監(jiān)測研究。經過計算機分類和人機交互式判讀解譯,結合GPS樣點信息校驗,冬小麥面積解譯精度在90%以上。利用遙感植被指數反演葉面積指數(LAI)等長勢信息,對整個區(qū)域的冬小麥長勢狀況進行分級監(jiān)測。疊加樣點的實測數據校驗,監(jiān)測精度達到85%以上,最終制作區(qū)域的冬小麥長勢分級專題圖,并對各長勢狀況進行了分析。結果說明,中巴資源衛(wèi)星影像數據可以滿足區(qū)域冬小麥長勢監(jiān)測要求,并可在實際生產中進行推廣應用。關鍵詞:冬小麥;CBERS02影像;長勢分級do:i10.3969/.j
3、issn.10080864.2010.03.14中圖分類號:TP79文獻標識碼:A文章編號:10080864(2010)03007905GradingMonitoringofWinterWheatGrowthConditionbyCBERSSatelliteImage11,22LIWeiguo,LIZhengjin,YANGCheng(1.InstituteofResourceandEnvironment,JiangsuAcademyofAgriculturalScien
4、ces,Nanjing210014;2.SchoolofAppliedMeteorologicalScience,NajingUniversityofInformationScience&Technology,Nanjing210044,China)Abstract:Applicationofremotesensinginformationtechnologycouldrealtimemonitorandpredictwinterwheatgrowthbygrading,soastohelpt
5、heagriculturesectortodevelopandimplementappropriatemanagementmeasurestoachievetargetproductionpurposes.TakingJiangyanCity,JiangsuProvinceasexample,thestudiesongradingmonitoringofwinterwheatgrowthduringjointingstagewereconductedbasedonCBERS(CBERS02)
6、satelliteremotesensingimages.Throughcomputerclassificationtechniquesandhumancomputerinteractiveinterpretation,combiningwithGPSinformationcheck,theinterpretationaccuracyofwinterwheatareaisover90%.Growthstatusofwinterwheatinthewholeregionwasmonitoredi
7、ngradebyusingremotesensingvegetationindex()andinversionofleafareaindex(LAI).Comparedwiththegrowthinformationdataofsamplesitesandareas,accuracyofthemonitoringismorethan85%.Awinterwheatgrowingregionclassifiedmapwascompletedtoanalyzewinterwheatgrowings
8、tatusofeachperiod.TheresultshowedthatCBERSimagedatacouldmeettheneedsofwinterwheatgrowthmonitoring,andbeappliedandextendedinpracticalproduction.Keywords:winterwheat;imageofCBERS02;gradingofgrowthvigor利用遙感信息技術實時監(jiān)測冬小麥的葉面積查;而遙感技術以其快速、準確和信息量豐富等特[2~9]指數
