Synthetic Aperture Radar（SAR） is a more effective remote sensing data source for rice recognition and monitoring than optical remote sensing in the regions with more wet and cloudy sky due to its all-weather, all-time, high resolution and wide covering characteristics. This paper summarizes SAR types and their feature used for rice study, introduces the backscattering model for rice monitoring, and analyses the main factors influencing backscattering coefficient. The studies of rice recognition and monitoring based on SAR in domestic and abroad are reviewed and the futures in the related areas are prospected.
【目的】建立Web环境下冬小麦估产的业务化运行体系,解决冬小麦遥感估产业务化运行不足,运行效率低等问题。【方法】基于面向对象的编程技术,采用Java语言,结合ESRI的开发包MapObject for Java以及管理工具ArcSDE、ArcCatalog和ArcIMS,通过在Web上集成遥感估产和GIS,构建了Web环境下的冬小麦估产支持系统。【结果】客户端通过浏览器访问远程服务器,可以实时地获取远程服务器发布的冬小麦生长信息,并进行产量预测,从而解决了遥感估产网络环境下的运行问题。【结论】本文提出了Web环境下的冬小麦估产研究方法和框架体系,实现了冬小麦估产业务化运行系统,系统运行结果良好,是对Web环境下遥感估产的探索性研究。
