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多源小班时空数据更新框架 被引量:2

Updating Framework for Multi-Sources of Subcompartment Spatio-Temporal Data
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摘要 将时空理论与当前森林资源调查和监测工作紧密衔接,提出由时空数据建模、数据采集、时空数据库和数据更新共同构成的框架。不同方式采集的数据,被组织成3个层次的对象,更新到按时空数据模型定义的时空数据库中,并实现正确的对象关联、空间约束和时间约束。通过原型系统验证了框架的可行性。 Forestry department has been going to collect data reasonably and termly. But,the development of forest resource data model and data updating mode are slower than the development of the data acquisition. Each set of data exists in isolation and has little relation with each other so that it could not represent the spatio-temporal change of forest resources systematically and thoroughly. Based on combining the spatio-temporal theory with forest resource information management,this article put forward a framework,which consists of spatio-temporal model,data collection,data updating and spatio-temporal database. In the framework,the data collected by different method would be formed as 3 hierarchies of objects,which then would be updated into the spatio-temporal database defined by spatio-temporal data model. The data in the database should keep the validity of object relation,spatial constraint and time constraint. The article verified the feasibility of the framework by a prototype system.
出处 《林业科学》 EI CAS CSCD 北大核心 2014年第8期15-21,共7页 Scientia Silvae Sinicae
基金 浙江省重大科技专项(2011C12047) 浙江省自然科学基金项目(Y5110145 Y3090346)
关键词 时空数据模型 数据更新 森林资源 多源数据 spatio-temporal data model data updating forest resources multi sources data
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