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李卫国,李正金.基于CBERS卫星遥感的冬小麦产量估测研究[J].麦类作物学报,2010,30(5):915
基于CBERS卫星遥感的冬小麦产量估测研究
  
DOI:10.7606/j.issn.1009-1041.2010.05.024
中文关键词:  冬小麦  产量  CBERS 02卫星遥感影像  模型
英文关键词:Winter wheat  Yield classification  CBERS 02 image  Estimation model
基金项目:国家“863”计划项目(2008AA10Z214);公益性行业(农业)科研专项(200803037);江苏省农业科学院人才基金项目(6510805);江苏省农业科学院科研基金项目(6110824)。
作者单位
李卫国1,李正金1,2 (1.江苏省农业科学院资源与环境研究所江苏南京 210014 2.南京信息工程大学应用气象学院江苏南京 210044) 
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中文摘要:
      为给冬小麦遥感估产的数据多元化与作物产量信息及时捕获提供技术支撑和信息支持,以江苏省泰兴市为例,基于中巴资源卫星(CBERS 02)遥感和小麦估产模型,进行了冬小麦产量监测预报研究。在利用计算机分类结合人机交互式判读解译的基础上,结合GPS样点信息校验,进行冬小麦种植面积提取;利用卫星影像提取冬小麦NDVI数据,反演叶面积指数、生物量信息等,结合冬小麦估产模型,计算单点产量信息。经过线性转换,对整个区域的冬小麦产量进行分级监测预报,叠加样点的产量信息检验,最终制作了区域的冬小麦产量分级专题图。结果表明,冬小麦种植面积解译精度在90%以上,分级估产精度达到85%以上。说明中巴资源卫星影像数据能基本满足冬小麦长势监测和产量预报的需要,可以在实际农业生产中推广应用。
英文摘要:
      Based on the winter wheat yield model and computer classification techniques of remote sensing images,a set of optimized yield of winter wheat classification and grading methods were established.In order to improve the winter wheat yield forecast assessment of operational efficiency,CBERS 02 satellite remote sensing technology and wheat yield estimation model was used to monitor and focast the winter wheat yield in Taixing City,Jiangsu Province.Owing to high spatial resolution and abundant spectral information,CCD image in CBERS 02 satellite had a strong ability to detect the vegetation and related information of Growth status.In November 2008,20 test sites and 2 test areas were distributed almost all over the county.The geographical position and some other information of these samples such as areas' shapes,had been measured by the hand hold GPS machines.The GPS data and the interpretation mark were used to correct TM image,verify the unsupervised classification,assist human computer interactive interpretation,and other operations.The test data had been participated the whole classification process.The accuracy of interpret information was more than 90%.The leaf area index (LAI) got from the Normalized Difference Vegetation Index (NDVI) inversion and the biomass from the Ratio Vegetation Index(RVI) inversion,combined with the wheat yield estimation model can classify the winter wheat yield,and make a winter wheat crop production Grading thematic map.Compared with the yield information data of sample sites and areas,the accuracy of the yield estimation had been more than 85%.This method can be used to guide the actual agricultural production.The results showed that CBERS image data can basically meet the winter wheat growth monitoring and yield forecasting needs,was able to promote the use of actual production work.
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