资源环境遥感海量空间数据存储、检索和访问方法  

Approach to storing,retrieving and accessing mass spatial data in resources and environments remote sensing

作　　者：薛涛[1] 刁明光[1] 李建存[2] 邹森忠[1] 

机构地区：[1]中国地质大学(北京)信息工程学院,北京100083 [2]中国国土资源航空物探遥感中心,北京100083

出　　处：《国土资源遥感》2013年第2期168-173,共6页Remote Sensing for Land & Resources

基　　金：中央高校基本科研业务费专项(编号:2011YYL101);中国国土资源航空物探遥感中心"资源与环境遥感信息化基础平台建设"项目(编号:1212010650602)共同资助

摘　　要：为了有效管理和利用资源环境遥感研究过程中积累的海量空间数据,设计资源环境遥感海量空间数据存储、检索及访问方法。针对不同数据类型和特点的海量空间数据,采用空间数据库、文件目录方式和Web Service等方法实现数据存储和发布。在空间查询二步算法的基础上,设计了基于空间位置的海量空间数据检索方法,可以检索以Mapping和Web Service等方式发布的数据,解决用户快速查找数据的问题。利用分层分块和可视区域格网索引等方法优化空间数据的传输、加载和显示等性能,并进行了相关性能测试。所设计的方法通过探讨数据的存储策略、数据的检索策略以及数据的访问展现策略,解决了海量空间数据应用中的数据有效管理、数据的精确定位以及数据快速传输呈现的问题。并基于此方法构建了资源环境遥感应急监测基础设施的基本框架。In order to effectively manage and utilize mass spatial data accumulated in researches on resources and environments remote sensing, the authors designed the methods for storage, retrieval and access of these mass spatial data. In accordance with the mass spatial data of different types and characteristics, approaches like spatial database, file directory and Web Service were applied for storing and delivering data. On the basis of two - step spatial query algorithm, the retrieval method of mass spatial data based on the spatial location was designed to retrieve the data stored in integrated spatial databases as well as data delivered in forms of Mapping and Web Service, so as to resolve the problem of fast data search. Methods of tile and hierarchy and visible area grid index were used to optimize the performance of transferring, loading and displaying data, and relative performance tests were executed. The designed approach solved the problems of data management, data precise location and data fast transportation that appeared in the application of massive spatial data via investigating strategies of data storage, data retrieval and data accessing and appearing. On the basis of this approach, the basic framework for resources and environments remote sensing emergency response and monitoring infrastructure has been constructed.

关 键 词：海量数据 海量空间数据 分层分块 WEB SERVICE 

分 类 号：TP302[自动化与计算机技术—计算机系统结构] TP79[自动化与计算机技术—计算机科学与技术]