欢迎访问林草资源研究

林业资源管理 ›› 2018›› Issue (5): 76-81.doi: 10.13466/j.cnki.lyzygl.2018.05.013

• 科学研究 • 上一篇    下一篇

长江经济带协同共享林业大数据平台数据服务体系

陈小中1(), 张町1, 张会华2, 钟祥清1, 张珩1   

  1. 1.四川省林业信息中心,成都 610081
    2.国家林业局信息中心,北京 100714
  • 收稿日期:2018-06-14 修回日期:2018-07-11 出版日期:2018-10-28 发布日期:2020-09-24
  • 作者简介:陈小中 (1972-),男,重庆南川人,高工,主要从事林业信息化工作。Email: 449574220@qq.com
  • 基金资助:
    国家林业局专项项目“林业数据资源管理平台(一期)试点建设项目”(xm2015-12-14);林业公益性行业科研专项项目“林业资源多层次信息服务技术研究”(201304215)

Data Services System for Synergizing and Sharing Forestry Big-data Platform of the Yangtze River Economic Zone

CHEN Xiaozhong1(), ZHANG Ting1, ZHANG Huihua2, ZHONG Xiangqing1, ZHANG Heng1   

  1. 1. Forestry Information Center of Sichuan Province,Chengdu 610081,China
    2. Forestry Information Center,National Forestry and Grassland Administration,Beijing 100714,China
  • Received:2018-06-14 Revised:2018-07-11 Online:2018-10-28 Published:2020-09-24

摘要:

为实现长江经济带协同共享林业大数据平台建设目标,针对长江经济带林业资源数据具有数据量大、类型多样和时空尺度差异大等特性,分别对该林业大数据平台中的林业资源数据整合和数据服务体系建设情况进行了介绍,即:基于云计算、物联网和大数据等现代信息技术和理念,利用数据资源整合系统按统一标准对长江经济带林业资源数据进行整合;构建数据服务体系和开展典型专题应用;实现长江经济带协同共享林业大数据平台对沿江各省市的林业生态文明建设数据协同共享与决策服务。

关键词: 林业资源数据, 大数据, 数据共享, 决策服务, 长江经济带

Abstract:

For the aim of the data service system platform construction for synergizing and sharing forestry big-data of the Yangtze river economic zone,and in view of the forestry resources data with the traits as large quantity,diversification and different space-time scales,the forestry resources datasets integration and the data services system construction have been introduced respectively.Based on the modern information techniques and theory,such as the cloud computation,the Internet of Things and the big data,the forestry resources datasets of the Yangtze river economic Zone have been integrated by the same standard.The data service system has been constructed and the typical forestry thematic application has also been done.The platform has supported the datasets sharing and decision services for the forestry ecological civilization development for the related provinces and cities of the Yangtze river economic Zone.

Key words: forestry resources data, big data, data sharing, decision services, the Yangtze river economic Zone

中图分类号: