Extraction and expansion evolution analysis of built-up areas based on multi-source data: A case study of Hefei City, Anhui province

被引:0
|
作者
Zhang, Yali [1 ,2 ]
Shui, Yuge [1 ]
Wang, Ni [1 ]
Wang, Yuliang [1 ]
Liu, Huan [1 ]
Yang, Guoguo [1 ]
机构
[1] Chuzhou Univ, Sch Geog Informat & Tourism, Chuzhou 239000, Peoples R China
[2] Anhui Prov Key Lab Phys Geog Environm, Chuzhou 239000, Peoples R China
关键词
Built-up areas; Multi-source data; Urban sprawl; Urban spatial patterns; URBAN HEAT-ISLAND; NIGHTTIME LIGHT; SATELLITE; SURFACE; CHINA; VEGETATION; LANDSCAPE; CITIES;
D O I
10.1016/j.ecolind.2024.112923
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
Accurate extraction of urban built-up areas and understanding their expansion dynamics are crucial for urban planning and sustainable development. Traditional single-source remote sensing methods often have low accuracy in extraction. Our study addressed this limitation by integrating multi-source data, including Landsat land surface temperature (LST), NPP-VIIRS nighttime light data, and POI data. Through comparisons of mutation detection, reference comparison, and a multi-source comprehensive index method, we identified the most effective approach for urban built-up area extraction. Additionally, we developed an innovative spatial model based on morphological structural elements and introduced a new corridor expansion to supplement the traditional urban expansion patterns of edge, infilling, and outlying expansion. This new model enhanced the understanding of urban landscape connectivity and provided a more comprehensive analysis of urban growth processes. The results showed that the comprehensive index method produced the most accurate extraction, with overall accuracies exceeding 89% and Kappa coefficients above 0.80 across all years. The built-up area and expansion indicators displayed an increasing trend, with urban expansion extending northwest from 2013 to 2020 and then shifting southward from 2020 to 2023. The spatial pattern of urban sprawl was characterized by edge expansion, followed by corridor expansion (except between 2017 and 2020), with a trend toward increasing outlying types and fewer infilling expansions. These findings indicated that Hefei's main urban area had reached a relatively mature stage, with built-up areas beginning to expand into surrounding towns; future efforts should focus on strengthening corridor expansion. This study filled a critical gap in accurately extracting built-up areas and analyzing spatial expansion, providing a scientific basis for urban land management, policy-making, and sustainable development.
引用
收藏
页数:12
相关论文
共 50 条
  • [31] Suburban identification based on multi-source data and landscape analysis of its construction land: A case study of Jiangsu Province, China
    Tian, Yasi
    Qian, Jing
    HABITAT INTERNATIONAL, 2021, 118
  • [32] Urban Flood Resilience Evaluation Based on GIS and Multi-Source Data: A Case Study of Changchun City
    Zhang, Zhen
    Zhang, Jiquan
    Zhang, Yichen
    Chen, Yanan
    Yan, Jiahao
    REMOTE SENSING, 2023, 15 (07)
  • [33] Extraction of Building Information Based on Multi-Source Spatiotemporal Data for Earthquake Insurance in Urban Areas
    Zhang, Pan
    Li, Xiaojun
    He, Qiumei
    APPLIED SCIENCES-BASEL, 2023, 13 (11):
  • [34] Identifying Urban Built-Up Areas Based on Spatial Coupling between Nighttime Light Data and POI: A Case Study of Changchun
    Wu, Ziting
    Wei, Xindong
    He, Xiujuan
    Gao, Weijun
    BUILDINGS, 2024, 14 (01)
  • [35] City-Eyes: A Multi-source Data Integration Based Smart City Analysis System
    Ma, Zijian
    Lu, Dan
    Liu, Qian
    Wang, Jingyuan
    Xiong, Zhang
    2017 IEEE 18TH INTERNATIONAL SYMPOSIUM ON A WORLD OF WIRELESS, MOBILE AND MULTIMEDIA NETWORKS (WOWMOM), 2017,
  • [36] Automatic extraction of built-up areas in Chinese urban agglomerations based on the deep learning method using NTL data
    Hu, Pan
    Cheng, Jiehai
    Li, Ping
    Wang, Yuyao
    GEOCARTO INTERNATIONAL, 2023, 38 (01)
  • [37] Effect of human settlements on urban thermal environment and factor analysis based on multi-source data: A case study of Changsha city
    Xiong Ying
    Zhang Fang
    JOURNAL OF GEOGRAPHICAL SCIENCES, 2021, 31 (06) : 819 - 838
  • [38] Effect of human settlements on urban thermal environment and factor analysis based on multi-source data: A case study of Changsha city
    Ying Xiong
    Fang Zhang
    Journal of Geographical Sciences, 2021, 31 : 819 - 838
  • [39] Identification and Analysis of Production-Living-Ecological Space Based on Multi-Source Geospatial Data: A Case Study of Xuzhou City
    Wang, Weilin
    Zhao, Yindi
    Ma, Caihong
    Dong, Simeng
    SUSTAINABILITY, 2025, 17 (03)
  • [40] Effect of human settlements on urban thermal environment and factor analysis based on multi-source data: A case study of Changsha city
    XIONG Ying
    ZHANG Fang
    JournalofGeographicalSciences, 2021, 31 (06) : 819 - 838