基于CBERS卫星遥感的冬小麦产量估测研究

Study on Estimating Winter Wheat Yield by CBERS Satellite Images

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。

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 informat...