测绘通报 ›› 2020, Vol. 0 ›› Issue (4): 130-133,138.doi: 10.13474/j.cnki.11-2246.2020.0126

• 技术交流 • 上一篇    下一篇

基于第三次国土调查的自然资源调查研究

张力仁, 冯然, 齐中华, 李德元   

  1. 黑龙江第二测绘工程院, 黑龙江 哈尔滨 150000
  • 收稿日期:2019-12-03 出版日期:2020-04-25 发布日期:2020-05-08
  • 作者简介:张力仁(1985-),男,硕士,高级工程师,主要从事3S技术应用研究。E-mail:273245096@qq.com
  • 基金资助:
    黑龙江测绘地理信息局2018年基础测绘科技基金(201802)

Research on natural resources based on the third national land survey

ZHANG Liren, FENG Ran, QI Zhonghua, LI Deyuan   

  1. The Second Surveying and Mapping Institute of Heilongjiang Province, Harbin 150000, China
  • Received:2019-12-03 Online:2020-04-25 Published:2020-05-08

摘要: 自然资源调查是贯彻落实新发展理念、推进自然资源管理体制改革的重要举措,也是履行自然资源管理“两个统一、六项职责”的前提和基础。第三次国土调查(简称“三调”)数据详细地记录了国土空间开发与利用现状、自然资源变化等情况,可以为自然资源调查提供优良的数据基础。因此,本文以“三调”数据为基础,结合原自然资源管理各部门提供的专题资料,进行自然资源要素分类与编码、自然资源要素提取等自然资源调查的分析与探索,并以黑龙江省宁安市为例进行试验分析,旨在为黑龙江省乃至全国范围的自然资源调查提供参考,形成可复制、可推广的调查体系。

关键词: 自然资源, 第三次国土调查, 自然资源分类, 多源数据, 自然资源调查

Abstract: Natural resources survey system is an important measure to implement the new development concept and promote the reform of natural resource management system, also is the premise and basis for fulfilling the “two unifications and six duties” of natural resource management. The third national land survey (Hereinafter referred to as “San Diao”) data details the status of land development and utilization, changes in natural resource, so it can provide an excellent data foundation for the natural resource survey. Therefore, we combine “San Diao” data and professional data provided byoriginal various natural resource management departments to analyze and explore the natural resource surveyssuch as classification and coding of natural resource elements,extraction of natural resource elements, and we take a test in Ningan in Heilongjiang province as an example, aiming to provide reference for the natural resource survey,which can be replicated and promoted in Heilongjiang province and even the whole country.

Key words: natural resources, the third national land survey, natural resources classification, multi-sourcedata, natural resources survey

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