测绘通报 ›› 2021, Vol. 0 ›› Issue (5): 120-123,144.doi: 10.13474/j.cnki.11-2246.2021.0155

• 技术交流 • 上一篇    下一篇

督察区域地类图斑自动套合方法

李霄, 李勇志, 孙禧勇, 赵政, 李伊峤, 张高强   

  1. 中国自然资源航空物探遥感中心, 北京 100083
  • 收稿日期:2020-05-27 修回日期:2021-02-26 发布日期:2021-05-28
  • 通讯作者: 孙禧勇。E-mail:83359177@qq.com
  • 作者简介:李霄(1993-),男,硕士,助理工程师,主要研究方向为地球观测卫星数据的应用与自然资源信息化建设。E-mail:lxiao@mail.cgs.gov.cn
  • 基金资助:
    全国矿山环境恢复治理状况遥感地质调查与监测(DD20190705)

Automatic matching method of land map in inspection area

LI Xiao, LI Yongzhi, SUN Xiyong, ZHAO Zheng, LI Yiqiao, ZHANG Gaoqiang   

  1. China Aero Geophysical Survey & Remote Sensing Center for Land and Resources, Beijing 100083, China
  • Received:2020-05-27 Revised:2021-02-26 Published:2021-05-28

摘要: 自然资源督察工作中,为确定目标区域是否存在土地利用违法行为,需要利用ArcGIS软件对目标区域和地类图斑数据进行空间计算、汇总统计等套合工作,为督察工作实施提供数据支撑。目前,人工套合存在制作成本高、工作量大、准确性低、数据命名存储格式不一致等问题。为此,本文基于Python实现了地类图斑自动套合的方法,该方法可以自动完成目标区域与地类图斑的空间计算、字段计算、Excel导出,以及生成数据透视表等工作,极大地减小了技术人员的工作量,有效缩短了督察工作的数据准备时间,对提高自然资源督察工作的效率具有实践意义。

关键词: 土地利用调查, 自然资源督察, 地类图斑, 自动套合, Python

Abstract: In the natural resources inspection work, in order to determine whether there is an illegal land use in the target area, ArcGIS software needs to be used to perform spatial calculations and summary statistics on the target area and land pattern data to provide data support for the implementation of the inspection work. At present, manual integration has problems such as the high production cost, the large workload, low accuracy, and inconsistent data naming and storage formats. For those reasons, this article realizes the automatic matching method of the ground pattern based on Python. This method can automatically complete the spatial calculation of the target area and the ground pattern, field calculation, Excel export and generation of pivot tables, etc. It greatly reduces the workload of the technical staff, effectively shortens the data preparation time of the inspection work, and has practical significance for improving the efficiency of the natural resource inspection work.

Key words: land use survey, natural resource inspector, land map, automatic nesting method, Python

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