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基于空间信息的农作物苗情监测系统
引用本文:于海洋,刘艳梅,董燕生,杨小冬,任 东,关 强.基于空间信息的农作物苗情监测系统[J].农业现代化研究,2013,34(2):253-256.
作者姓名:于海洋  刘艳梅  董燕生  杨小冬  任 东  关 强
作者单位:北京农业信息技术研究中心,北京 100097;国家农业信息化工程技术研究中心,北京 100097;三峡大学,湖北 宜昌 443002;北京农业信息技术研究中心,北京 100097;国家农业信息化工程技术研究中心,北京 100097;三峡大学,湖北 宜昌 443002;北京农业信息技术研究中心,北京 100097;国家农业信息化工程技术研究中心,北京 100097;北京农业信息技术研究中心,北京 100097;国家农业信息化工程技术研究中心,北京 100097;三峡大学,湖北 宜昌 443002;北京农业信息技术研究中心,北京 100097;国家农业信息化工程技术研究中心,北京 100097
基金项目:公益性行业(农业)科研专项(编号:200903010-03);国家自然科学基金(编号:41101395);北京市自然科学基金(编号:4122032);国家科技支撑计划(编号:2012BAH29B04)。
摘    要:以大面积、无损的农作物苗情监测为目标,采用GIS、RS、GPS等空间信息技术,结合计算机技术、网络技术设计开发了基于空间信息的农作物苗情监测系统。在前人研究基础上,筛选了能够表征作物长势、产量和品质的农学参量及遥感植被指数,提供自定义监测预报模型的方式实现对农作物长势、产量及品质监测。最终,以2012年北京地区冬小麦长势监测为例,展示了农作物长势分析过程,获得了同实际情况相吻合的监测结果。

关 键 词:农作物  苗情监测  空间信息

Spatial Information Support Systems for Monitoring Crop
YU Hai-yang,LIU Yan-mei,DONG Yan-sheng,YANG Xiao-dong,REN Dong and GUAN Qiang.Spatial Information Support Systems for Monitoring Crop[J].Research of Agricultural Modernization,2013,34(2):253-256.
Authors:YU Hai-yang  LIU Yan-mei  DONG Yan-sheng  YANG Xiao-dong  REN Dong and GUAN Qiang
Institution:Beijing Research Center for Information Technology in Agriculture, Beijing 100097, China;National Engineering Research Center for Information Technology in Agriculture , Beijing 100097, China;China Three Gorges University, Yichang, Hubei 443002, China;Beijing Research Center for Information Technology in Agriculture, Beijing 100097, China;National Engineering Research Center for Information Technology in Agriculture , Beijing 100097, China;China Three Gorges University, Yichang, Hubei 443002, China;Beijing Research Center for Information Technology in Agriculture, Beijing 100097, China;National Engineering Research Center for Information Technology in Agriculture , Beijing 100097, China;Beijing Research Center for Information Technology in Agriculture, Beijing 100097, China;National Engineering Research Center for Information Technology in Agriculture , Beijing 100097, China;China Three Gorges University, Yichang, Hubei 443002, China;Beijing Research Center for Information Technology in Agriculture, Beijing 100097, China;National Engineering Research Center for Information Technology in Agriculture , Beijing 100097, China
Abstract:For the target of large scaled, non-destructive crop monitoring, this study was to design and develop the spatial information support systems for monitoring crop. It was based on spatial information technology which mainly about GIS, RS and GPS, and combined with computer technology and network technology. The system characterized the agronomy of the crop growth, yield and quality parameters, and filtered remote sensing vegetation indexes. Then the system provided the self-defined model function for crop growth monitoring, yield prediction, quality diagnosis on the basis of previous studies. Finally, the system presented the analysis of crop growth on the test of wheat growing data in Beijing 2012, and the result was consistent with the actual ground measurement data.
Keywords:crop  growth and seeding monitoring  spatial information
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