基于遥感影像的作物长势模型数据库构建技术

Techniques for Contructing Crop Growth Model Database Based on Remote Sensing Images

利用不同尺度下遥感影像能够实时快速地获取农作物各个阶段生长发育状况,为区域农业的精细化管理提供决策支持。以长江中下游水稻种植及生长条件为例,分析了不同尺度遥感影像的获取及处理方法,重点探讨作物生长模型化数据库的概念设计、逻辑设计及分布式存储等若干关键技术问题,进而实现农作物从播种到收获各个阶段的全程监测、预警及分析对比。结果表明,该研究能在一定程度上提高遥感农业信息化管理水平和工作效率,促进农业遥感的纵深化发展。

The crop growth status in various stages can be quickly and timely obtained by using the remote sensing images of different scales,which will provide decision support for fine management of regional agriculture.The rice planting and growing environment in the middle and lower reaches of Changjiang River was used to analyze,the acquisition and processing method of different scale remote sensing images.Several key technical problems of crop growth model database including conceptual design,logical design and distributed storage were focused on to realize the entire monitoring,warning and analyses from sowing to harvesting the agricultural crops.Results showed that the management level and work efficiency were improved for remote agricultural information to some exlent.Agricultural remote sensing was deepened.