详细信息
基于多业务数据融合的森林资源数据更新方法研究 被引量:1
Research on Data Fusion Method of Multi-business Data for Forest Resources Data Update
文献类型:期刊文献
中文题名:基于多业务数据融合的森林资源数据更新方法研究
英文题名:Research on Data Fusion Method of Multi-business Data for Forest Resources Data Update
作者:罗鹏[1] 许等平[2] 李程[1] 龙植豪[3]
第一作者:罗鹏
机构:[1]中国林业科学研究院资源信息研究所;[2]国家林业局调查规划设计院;[3]广西壮族自治区林业勘测设计院
年份:2016
卷号:0
期号:1
起止页码:39-45
中文期刊名:林业资源管理
外文期刊名:Forest Resources Management
收录:北大核心:【北大核心2014】;
基金:中央级公益性科研院所基本科研业务费专项资金"基于大数据理论的森林资源数据空间分析技术研究"(IFRIT201502);国家林业局森林资源管理司项目"全国林地数据库的建库;汇总与维护"(2014-2-18**)
语种:中文
中文关键词:森林资源数据更新;多业务数据;多业务数据融合
外文关键词:forest resource data update, multi-business data, multi-business data fusion
分类号:TP39;S757.2
摘要:森林资源数据更新是森林资源进行科学管理和合理经营的前提和基础。传统的森林资源数据更新多以数据为驱动力,忽略了促使数据发生变更的深层次业务原因。从森林资源数据更新的多业务角度出发,分析导致森林资源数据更新的业务原因,对多业务的数据融合时产生的冲突进行了分析并提出数据融合的方法,目的是提高多业务数据的智能化融合程度和融合效率,进而推进多业务数据的应用和成果转化。文中着重阐述了多业务数据融合策略的制定,重点解决数据融合中产生的空间、属性及时间的冲突。基于多业务数据融合方法开发了广西壮族自治区"森林资源管理信息系统"的数据更新模块并进行了应用,实践表明提高了森林资源数据更新的效率。
The data updating of forest resources is the premise and basis for scientific management and rational management of forest resources. The traditional forest resources data update mostly take the data as the driving force, which aimed at the data themselves, but ignored the deep-seated business reasons which cause changes. From multi-business perspective, this paper analyzed the business reason causing forest resource data updating and the conflict of multi-business data fusion, and put forward the method of conflict resolution which aimed to improve the intelligent degree in integration of multi-business data fusion and efficiency, and promote the application of multi-business data and achievements. This paper emphatically elaborated the strategies of multi-business data fusion, mainly removed time conflict, spatial conflict and attribute conflict which came out during data fusion. Based on the method for conflict resolution, the Guangxi forest resources management information system data update module is developed, and the practice proves that this research result improves the efficiency of forest resource data updating.
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