测绘通报 ›› 2022, Vol. 0 ›› Issue (9): 39-44.doi: 10.13474/j.cnki.11-2246.2022.0261

• 学术研究 • 上一篇    下一篇

基于夜光遥感数据的中原城市群建成区时空变化分析

程结海, 胡盼, 袁占良   

  1. 河南理工大学测绘与国土信息工程学院, 河南 焦作 454003
  • 收稿日期:2021-11-15 修回日期:2022-07-20 发布日期:2022-09-30
  • 作者简介:程结海(1980—),男,博士,副教授,主要研究方向为遥感信息智能提取与分析、面向对象影像分析(OBIA)、深度学习、夜光遥感。E-mail:chengjiehai@hpu.edu.cn
  • 基金资助:
    国家自然科学基金(42171299);河南省科技攻关计划项目(212102311149)

Analysis of temporal and spatial changes of the central plains urban agglomeration based on luminous remote sensing data

CHENG Jiehai, HU Pan, YUAN Zhanliang   

  1. School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454003, China
  • Received:2021-11-15 Revised:2022-07-20 Published:2022-09-30

摘要: 本文基于“类NPP-VIIRS”夜光遥感数据集,采用改进的统计数据比较法提取中原城市群建成区,利用重心迁移指标和典型景观格局指标,分析中原城市群建成区2002—2020年的时空变化特征。研究表明:①中原城市群建成区扩张强度先快后慢,整体呈下降趋势;建成区重心在经历多次偏移后最终指向东南方向,但一直位于郑州大都市区范围内。②中原城市群发展迅速,建成区总面积在2002—2020年增加了1.429倍;在2011—2012年出现大量新兴城镇;2014年之后趋于稳定,城镇之间的联系越来越紧密。③中原城市群建成区空间格局复杂度逐年上升,破碎程度总体降低,郑州大都市区建成区扩张速度明显快于中原城市群整体建成区扩张速度。

关键词: 夜光遥感, 中原城市群, 时空变化, 景观格局指标, 改进的统计数据比较法

Abstract: Based on the “NPP-VIIRS-like” luminous remote sensing data set, this paper uses the improved statistical data comparison method to extract the built-up area of the central plains urban agglomeration, and analyzes the temporal and spatial variation characteristics of the built-up area of the central plains urban agglomeration from 2002 to 2020 in combination with the center of gravity migration index and the typical landscape pattern index. Research shows that: ①The expansion intensity of the built-up areas of the central plains urban agglomeration is first fast and then slow, and the overall trend is declining. The center of gravity of the built-up area finally points to the southeast after several shifts, but it has always been located within the Zhengzhou metropolitan area.②The urban agglomeration in the central plains has developed rapidly. The total area of built-up areas has increased by 1.429 times between 2002 and 2020, and a large number of emerging towns have appeared between 2011 and 2012. After 2014, it has stabilized, and the connection between towns has become more and more close. ③The complexity of the spatial pattern of the built-up areas of the central plains urban agglomeration has increased year by year, and the degree of fragmentation has generally decreased. The expansion rate of the built-up areas in the Zhengzhou metropolitan area is significantly faster than that of the overall built-up areas of the central plains urban agglomeration.

Key words: luminous remote sensing, the central plains urban agglomeration, temporal and spatial changes, landscape pattern index, improved statistical data comparison method

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