国家级作物长势遥感监测业务系统设计与实现

Design and implementation of operational system for national crop growth condition monitoring with remote sensing

作物长势监测是农情遥感监测的重要组成部分。为了建立稳定的作物长势监测业务系统,该文一方面选取NDVI时间序列提取的时空参数从不同侧面描述作物长势,建立作物长势监测的综合性模型,另一方面建立了一个覆盖全国主要农区、由200个县组成的地面调查网络,采集地面实况信息,并采用客户端/服务器(C/S)和浏览器/服务器(B/S)的混合结构开展系统设计,基于遥感和地面调查两个角度设计实现了国家级作物长势遥感监测业务系统,同时对由于作物种类和监测区域不同引起的长势评价标准不一致、模型定量化和业务系统架构仍需根据应用进一步分解完善等问题进行了讨论。以中国冬小麦主产区为例,进行了作物长势监测试验,取得较好的监测结果。目前该系统已在大尺度作物遥感监测中得到应用。

The crop growth condition monitoring is one of the most important parts of agricultural condition monitoring. In order to build an operational system for crop growth condition monitoring, the method and the architecture with remote sensing and ground survey were introduced in the paper. For remote sensing, the temporal-spatial parameters derived from NDVI time series could be used to describe the crop growth condition from different respects. For ground survey, a nationwide network involving 200 counties distributed in the major farming areas had been set up for ground truth information acquisition. A kind of Client/Server （C/S） and Browser/Server （B/S） hybrid architecture of the operational system was designed to facilitate different operation modes of remote sensing and ground survey. However, some problems need to be solved in the operational system. Because of crop species difference and regional variety, there is not a common standard of crop growth condition evaluation in ground survey. Because there is still some limits from crop growth condition monitoring to agricultural production, maybe the model coupling of crop growth model with crop growth condition evaluation model by remote sensing is needed and the C/S structure needs to be divided further into function layer and application layer to make it easier to perform the system integration and maintenance. The study area was selected in major winter growing regions in China, and better results were obtained by the system. The system has been used in the crop monitoring system at a national scale.