Expansion of Urban Impervious Surfaces in Lahore (1993-2022) Based on GEE and Remote Sensing Data

被引:6
|
作者
Shao, Zhenfeng [1 ]
Ahmad, Muhammad Nasar [1 ]
Javed, Akib [1 ]
Islam, Fakhrul [2 ]
Jahangir, Zahid [1 ]
Ahmad, Israr [1 ]
机构
[1] Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & Re, Wuhan 43007, Hubei, Peoples R China
[2] Khushal Khan Khattak Univ, Karak, Khyber Pakhtunk, Pakistan
来源
基金
中国国家自然科学基金;
关键词
LSMA;
D O I
10.14358/PERS.23-00001R2
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
Impervious surfaces are an essential component of our environment and are mainly triggered by human developments. Rapid urbanization and population expansion have increased Lahore's urban impervious surface area. This research is based on estimating the urban imper-vious surface area (UISA) growth from 1993 to 2022. Therefore, we aimed to generate an accurate urban impervious surfaces area map based on Landsat time series data on Google Earth Engine (GEE). We have used a novel global impervious surface area index (GISAI) for impervious surface area (UISA) extraction. The GISAI accomplished significant results, with an average overall accuracy of 90.93% and an average kappa coefficient of 0.78. We also compared the results of GISAI with Global Human Settlement Layer-Built and harmonized nighttime light (NTL) ISA data products. The accuracy assessment and cross-validation of UISA results were performed using ground truth data on ArcGIS and GEE. Our research findings revealed that the spatial extent of UISA increased by 198.69 km2 from 1993 to 2022 in Lahore. Additionally, the UISA has increased at an average growth rate of 39.74 km2. The GISAI index was highly accurate at extract-ing UISA and can be used for other cities to map impervious surface area growth. This research can help urban planners and policymak-ers to delineate urban development boundaries. Also, there should be controlled urban expansion policies for sustainable metropolis and should use less impermeable materials for future city developments.
引用
收藏
页码:479 / 486
页数:64
相关论文
共 50 条
  • [1] Expansion of Urban Impervious Surfaces in Xining City Based on GEE and Landsat Time Series Data
    Cao, Xiaomin
    Gao, Xiaohong
    Shen, Zhenyu
    Li, Runxiang
    [J]. IEEE ACCESS, 2020, 8 : 147097 - 147111
  • [2] Urban expansion based on remote sensing extraction of impervious surface information
    Kang, Weifeng
    Chen, Dayong
    [J]. INTERNATIONAL JOURNAL OF HYDROLOGY SCIENCE AND TECHNOLOGY, 2024, 18 (01) : 106 - 123
  • [3] Automatic extraction of urban impervious surfaces based on deep learning and multi-source remote sensing data
    Huang, Fenghua
    Yu, Ying
    Feng, Tinghao
    [J]. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, 2019, 60 : 16 - 27
  • [4] Remote sensing of impervious surfaces in the urban areas: Requirements, methods, and trends
    Weng, Qihao
    [J]. REMOTE SENSING OF ENVIRONMENT, 2012, 117 : 34 - 49
  • [5] Urban Impervious Surface Estimation from Remote Sensing and Social Data
    Yu, Yan
    Li, Jun
    Zhu, Changyu
    Plaza, Antonio
    [J]. PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING, 2018, 84 (12): : 771 - 780
  • [6] Advances on Urban Impervious Surface Extraction Using Remote Sensing Data
    Li, Su
    Wan, Wenchao
    Li, Luwen
    [J]. ADVANCES IN ENVIRONMENTAL TECHNOLOGIES, PTS 1-6, 2013, 726-731 : 4552 - 4557
  • [7] URBAN IMPERVIOUS SURFACE EXTRACTION BASED ON THE INTEGRATION OF REMOTE SENSING IMAGES AND SOCIAL MEDIA DATA
    Yu, Yan
    Wei, Wei
    Li, Jun
    Zhang, Yanning
    [J]. IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2018, : 8861 - 8864
  • [8] Estimating urban impervious surface percentage with multi-source remote sensing data
    Zhang, Lu
    Gao, Zhihong
    Liao, Mingsheng
    Li, Xinyan
    [J]. Wuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University, 2010, 35 (10): : 1212 - 1216
  • [9] Estimating Urban Impervious Surface Percentage With Multi-source Remote Sensing Data
    Gao Zhihong
    Zhang Lu
    Liao Mingsheng
    Jiang Liming
    [J]. 2009 JOINT URBAN REMOTE SENSING EVENT, VOLS 1-3, 2009, : 906 - +
  • [10] Monitoring changes in the impervious surfaces of urban functional zones using multisource remote sensing data: a case study of Tianjin, China
    Cao, Shisong
    Hu, Deyong
    Zhao, Wenji
    Mo, You
    Yu, Chen
    Zhang, Yang
    [J]. GISCIENCE & REMOTE SENSING, 2019, 56 (07) : 967 - 987