中文摘要：

利用遥感监测技术实时快速地获取作物长势参数和氮素营养状况,可以为作物的精确管理提供决策支持。在已有作物（小麦和水稻）生长监测模型的基础上,采用GDAL和GDI＋信息处理方法,使用EM算法对反演的作物长势参数进行聚类分析,在Microsoft.NET平台上构建基于聚类分析和遥感影像的网络化作物生长监测系统。系统具有常见格式遥感影像读取、遥感信息提取、作物长势参数反演、聚类分析、专题图制作以及信息发布等功能,并以江苏省方强农场为案例区,对系统的部分功能进行了测试与检验。结果表明,该系统能够准确的读取遥感影像信息,反演作物生长参数,并可根据聚类分析结果自动制作专题图,通过互联网予以发布,从而初步突破了用户无法直接参与遥感影像分析过程的瓶颈,为区域尺度的作物生长监测和精确管理调控提供了决策支持。

英文摘要：

Quick and real-time monitoring of crop growth status based on remote sensing can support the decision-making on precision crop management. Based on growth estimating models in wheat and rice established by the authors’ group,a RS image-based monitoring system was developed based on the Microsoft .NET framework using GDAL and GDI＋ as information processing methods and EM algorithm for classifying crop growth indices. This system realized the multiple functions as accessing the RS images with common formats,extracting crop information,inverting growth indices,clustering analysis,generating the thematic map and issuing the information with remote sensing technology. Several functions of the system were tested using the RS images at Fangqiang Farm,Jiangsu Province. The results showed that the system could effectively read general remote sensing images,invert the crop growth indices,classify the crop growth information based on the cluster models,interact with users for generating the thematic map of crop growth status,and issue the RS image information rapidly via internet. The present system has overcome the previous weakness that the ordinary users could not directly participate in the process of RS images analysis,and can help to monitor the crop growth condition and provide decision support for precision crop management at regional scale.