测绘通报 ›› 2020, Vol. 0 ›› Issue (1): 107-110,114.doi: 10.13474/j.cnki.11-2246.2020.0022

• 技术研究 • 上一篇    下一篇

自然资源全要素自适应野外调查框架设计

刘立, 刘娟, 陈宏宇, 李维庆   

  1. 自然资源部第三地理信息制图院, 四川 成都 610101
  • 收稿日期:2019-04-12 修回日期:2019-10-16 发布日期:2020-02-10
  • 作者简介:刘立(1989-),男,工程师,主要研究方向为地图制图与地理信息工程应用。E-mail:274114486@qq.com
  • 基金资助:
    国家重点研发计划国家质量基础的共性技术研究与应用专项(2018YFF0215006)

Framework design of full-feature adaptive field survey for natural resources

LIU Li, LIU Juan, CHEN Hongyu, LI Weiqing   

  1. The Third Geoinformation Mapping Institute of Ministry of Natural Resources, Mapping and Geoinformation, Chengdu 610101, China
  • Received:2019-04-12 Revised:2019-10-16 Published:2020-02-10

摘要: 针对自然资源全要素调查工作中分类标准不同、调查口径不同、调查方法不同,造成的各部门调查软件平台重复开发建设和调查数据结果地理信息特征表达不清晰等问题,本文结合自然资源全要素野外调查工作的实际需要,以山水林田湖草生命共同体为统一对象,构建了自然资源语义化特征模型,提出了表征不同自然资源类型的自适应野外调查方法,实现了灵活性高、性能优异的自然资源调查技术平台,形成了统一的自然资源全要素野外调查框架,可以有效提升多门类自然资源基础调查、专业调查、动态调查的能力与水平,为自然资源治理能力现代化提供了可靠技术保障。

关键词: 自然资源, 全要素, 调查框架, 语义化, 生命共同体, 动态调查

Abstract: In view of the different classification standards, investigation caliber and investigation methods in the investigation of full features of natural resources, resulting in the repeated development and construction of the software platform for each department's investigation and the unclear expression of the data geographic information features of the investigation results, this paper combines the actual needs of the field investigation of full feature of natural resources, and unifies the life community of mountains, rivers, forests, lakes and grasses. This paper constructs a semantic feature model of natural resources, proposes an adaptive field investigation method to represent different types of natural resources, realizes a flexible and excellent performance natural resources investigation technology platform, and forms a unified field investigation framework of all elements of natural resources, which can effectively enhance the ability of basic investigation, professional investigation and dynamic investigation of multiple categories of natural resources. The level provides a reliable technical guarantee for the modernization of natural resource management ability.

Key words: natural resources, full elements, survey framework, semantics, community of life, dynamic survey

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