测绘通报 ›› 2023, Vol. 0 ›› Issue (3): 160-164.doi: 10.13474/j.cnki.11-2246.2023.0091

• 技术交流 • 上一篇    下一篇

一种顾及多因子的生态保护红线勘界定标自动化预标注方法

高林营, 武萌华, 周智勇   

  1. 重庆市勘测院, 重庆 401121
  • 收稿日期:2022-03-18 发布日期:2023-04-04
  • 作者简介:高林营(1994-),男,硕士,研究方向为摄影测量与三维重建。E-mail:603769291@qq.com
  • 基金资助:
    重庆市规划和自然资源局科研项目基金(KJ-2021042);国家重点研发计划(2018YFB0505403)

A multi-factor automatic pre-marking method for ecological protection red line survey and demarcation standards

GAO Linying, WU Menghua, ZHOU Zhiyong   

  1. Chongqing Survey Institute, Chongqing 401121, China
  • Received:2022-03-18 Published:2023-04-04

摘要: 生态保护红线勘界定标是确保生态保护红线精准落地的重要举措,是践行“绿水青山就是金山银山”理念的重要手段。本文提出了一种顾及多因子的生态保护红线勘界定标自动化预标注方法,即通过建立生态保护红线边界处的最小计算单元并定义其片区属性,评估计算其地形地貌特征、道路通达性、人为活动的频繁程度,实现自动化获取大场景、大范围生态保护红线界桩、标识牌点位预标注区域;并以重庆市生态保护红线为试验区域,验证了该方法能够取得良好效果,提高了界桩、标识牌点位及布设密度的科学性、合理性,降低了生产成本,自动化程度高。

关键词: 多因子, 勘界定标, 地形地貌, 道路通达性, 人为活动

Abstract: Ecological protection red line calibration is an important measure to ensure the accurate implementation of ecological protection red lines, and an important means to practice the important concept of "lucid waters and lush mountains are invaluable assets". This paper proposes a multi-factor ecological protection red line demarcation standard. The automatic pre-labeling method, by establishing the minimum computing unit at the boundary of the ecological protection red line and defining its area attributes, then evaluates and calculates its topographical features, road accessibility, and the frequency of human activities, and finally obtains a large-scale scene and a large-scale ecological protection red line pre-marked areas for boundary stakes and signage points. Taking Chongqing's ecological protection red line as the test area, it is verified that this method can achieve good results, improve the scientificity and rationality of boundary piles, signage points and layout density, reduce production costs, and have the characteristics of high efficiency and high degree of automation.

Key words: multi-factor, survey and demarcation, topography and landform, road accessibility, man-made activities

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