资源描述：
《基于cbers遥感的冬小麦长势分级监测》由会员上传分享，免费在线阅读，更多相关内容在教育资源-天天文库。
1、中国农业科技导报,2010,12(3):79-83JournalofAgriculturalScienceandTechnology基于CBERS遥感的冬小麦长势分级监测11,22李卫国,李正金,杨澄(1.江苏省农业科学院资源与环境研究所,南京210014;2.南京信息工程大学应用气象学院,南京210044)摘要:应用遥感信息技术,可实时对冬小麦长势进行分级监测预报,便于农业部门及时制定和实施相应的管理措施,达到目标化生产的目的。以江苏省姜堰市为例,进行了基于中巴资源卫星(CBERS0
2、2)遥感的冬小麦拔节期长势分级监测研究。经过计算机分类和人机交互式判读解译,结合GPS样点信息校验,冬小麦面积解译精度在90%以上。利用遥感植被指数反演叶面积指数(LAI)等长势信息,对整个区域的冬小麦长势状况进行分级监测。叠加样点的实测数据校验,监测精度达到85%以上,最终制作区域的冬小麦长势分级专题图,并对各长势状况进行了分析。结果说明,中巴资源卫星影像数据可以满足区域冬小麦长势监测要求,并可在实际生产中进行推广应用。关键词:冬小麦;CBERS02影像;长势分级do:i10.3969/.j
3、issn.10080864.2010.03.14中图分类号:TP79文献标识码:A文章编号: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利用遥感信息技术实时监测冬小麦的叶面积查;而遥感技术以其快速、准确和信息量丰富等特[2~9]指数
