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基于夜间灯光和统计数据的黄土高原城镇化水平时空格局分析

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文章导航 > 自然资源遥感 > 2023 > 35(3): 253-263

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赵安周, 张向蕊, 相恺政, 刘宪锋, 张靓涵. 2023. 基于夜间灯光和统计数据的黄土高原城镇化水平时空格局分析. 自然资源遥感, 35(3): 253-263. doi: 10.6046/zrzyyg.2022222
引用本文: 赵安周, 张向蕊, 相恺政, 刘宪锋, 张靓涵. 2023. 基于夜间灯光和统计数据的黄土高原城镇化水平时空格局分析. 自然资源遥感, 35(3): 253-263. doi: 10.6046/zrzyyg.2022222
shu
ZHAO Anzhou, ZHANG Xiangrui, XIANG Kaizheng, LIU Xianfeng, ZHANG Jinghan. 2023. Analyzing the spatio-temporal evolution patterns of urbanization in the Loess Plateau based on night light data and statistical data. Remote Sensing for Natural Resources, 35(3): 253-263. doi: 10.6046/zrzyyg.2022222
Citation: ZHAO Anzhou, ZHANG Xiangrui, XIANG Kaizheng, LIU Xianfeng, ZHANG Jinghan. 2023. Analyzing the spatio-temporal evolution patterns of urbanization in the Loess Plateau based on night light data and statistical data. Remote Sensing for Natural Resources, 35(3): 253-263. doi: 10.6046/zrzyyg.2022222
shu

基于夜间灯光和统计数据的黄土高原城镇化水平时空格局分析

  • 1.河北工程大学矿业与测绘工程学院,邯郸 056038

  • ;2.河北工程大学水生态文明及社会治理研究中心,邯郸 056038

  • ;3.陕西师范大学地理科学与旅游学院,西安 710119

  • 基金项目:

    国家自然科学基金项目“黄土高原城镇化-生态环境互馈机制及动态模拟”(42171212)

详细信息
    作者简介: 赵安周(1985-),男,博士,副教授,主要从事城市扩张对生态环境影响等方面的研究。Email: zhaoanzhou@hebeu.edu.cn。

  • 中图分类号: TP79;F129.9

Analyzing the spatio-temporal evolution patterns of urbanization in the Loess Plateau based on night light data and statistical data

  • 1. School of Mining and Geomatics, Hebei University of Engineering, Handan 056038, China

  • ;2. Research Center of Water Ecological Civilization and Social Governance of Hebei Province, Hebei University of Engineering, Handan 056038

  • ;3. School of Geography and Tourism, Shaanxi Normal University, Xi’an 710119, China

    摘要
  • 城镇化水平时空演变研究对城市空间结构优化有重要意义。通过对DMSP/OLS和NPP/VIIRS夜间灯光遥感数据的饱和校正和一致性校正,构建了2000—2019年黄土高原夜间灯光遥感数据集,计算了黄土高原不同空间尺度的综合夜间灯光指数(compound night light index,CNLI),并利用二分模型提取了黄土高原建成区面积,在此基础上,利用标准差椭圆等方法分析了其空间演变格局。结果表明: ①基于夜间灯光指数构建的黄土高原CNLI与统计数据构建的城镇化综合发展水平指数(urbanization development index,UDI)及各分指标的相关系数均较高; ②2000—2019年整个黄土高原及5个城市群CNLI值均呈现显著上升趋势,空间上呈从东南向西北递减的趋势; ③基于二分模型提取的黄土高原建成区绝对误差和相对误差的均值分别为2.45 km2和3.72%; ④黄土高原建成区重心在2000—2019年期间呈现向东南方向移动的趋势,标准差椭圆的覆盖面积表现为显著下降的趋势(slope=0.010 7 km2/a,p<0.01),方位角的值由北偏东83.33°变为88.37°。研究结果可为黄土高原及生态脆弱区城镇化时空格局研究提供数据支持和方法借鉴。
    Research on the spatio-temporal evolution of urbanization is significant for optimizing the spatial structure of a city. Through the saturation and consistency correction of DMSP/OLS and NPP/VIIRS data, this study constructed a remote sensing dataset of night light in the Loess Plateau from 2000 to 2019. Then, this study calculated the compound night light index (CNLI) on different spatial scales and extracted the area of build-up areas in the Loess Plateau using a dichotomy method. Furthermore, this study analyzed the spatial evolution patterns using methods such as standard deviational ellipse (SDE). The results are as follows: ① The CNLI calculated from night light data correlated strongly with the urbanization development index (UDI) and various sub-indicators. ② The CNLI values of the Loess Plateau and five urban agglomerations showed significant upward trends during 2000—2019 and spatial downward trends from southeast to northwest. ③ The area of build-up areas in the Loess Plateau extracted using the dichotomy method had mean absolute and relative errors of 2.45 km2 and 3.72%, respectively. ④ The focus of the built-up areas in the Loess Plateau showed a southeastward shifting trend during 2000—2019, with the SDE-covered area decreasing significantly (slope = 0.0107 km2/a; p < 0.01) and the azimuth angle changing from northeastern 83.33° to 88.37°. The results of this study can provide data support and a methodological reference for investigating the spatio-temporal patterns of urbanization in the Loess Plateau and other ecologically vulnerable areas.
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出版历程
收稿日期:  2022-05-26
修回日期:  2022-10-12
刊出日期:  2023-09-19

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