Nighttime Lights and Urban Expansion: Illuminating the Correlation between Built-Up Areas of Lagos City and Changes in Climate Parameters

被引:0
|
作者
Gilbert, Katabarwa Murenzi [1 ]
Shi, Yishao [1 ]
机构
[1] Tongji Univ, Coll Surveying & Geoinformat, Shanghai 200092, Peoples R China
关键词
GIS; nighttime light pollution; urban development; population growth; climate change; CHALLENGES; AFRICA;
D O I
10.3390/buildings13122999
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The rapid urbanization of Lagos City has resulted in an expansion of urban and nighttime lights, which, in turn, places a significant burden on natural resources. This burden exacerbates the adverse impacts of changes in climate parameters, underscoring the need for measures to mitigate its effects. Therefore, this study examines the relationship between economic development, population growth, urban expansion, and climate change in Lagos City over two decades. GIS and remote sensing methods were used to process nighttime light, Landsat images, changes in climate parameters, and NDVI data to measure Lagos' sustainability level. The results show that: (1) between 2000 and 2020, nighttime light coverage grew from 175.53 km2 to 631.16 km2. Lagos' GDP grew by 88.9%, while the population increased from 13.4 million in 2000 to 26 million in 2019. (2) The built-up areas significantly increased from 13.0% in 2000 to 33.6% in 2020, while vegetation land declined, decreasing from 63.7% in 2000 to 46.4% in 2020. (3) Furthermore, Lagos City has experienced changes in climate parameters, with a decrease in annual rainfall from 2954.81 mm in 2000 to 1348.81 mm in 2020 and an increase in the average maximum temperature from 31.56 degrees C in 2000 to 31.79 degrees C in 2020. However, the rapid growth of cities has brought about significant environmental impacts. A strong relationship exists between horizontal urban development and nighttime light, indicating that urban areas encroach on natural landscapes as Lagos grows. Then, there is a relationship between urban development and vegetation and between temperature and vegetation. A compact city planning approach, which prioritizes vertical development and efficient land use to mitigate urban sprawl and preserve green spaces, is recommended.
引用
收藏
页数:17
相关论文
共 49 条
  • [1] Extraction of urban built-up areas from nighttime lights using artificial neural network
    Xu, Tingting
    Coco, Giovanni
    Gao, Jay
    GEOCARTO INTERNATIONAL, 2020, 35 (10) : 1049 - 1066
  • [2] Coordination Analysis between the Development of Urban Built-Up Areas and Urban Environmental Factors through Remote Sensing of Nighttime Lights: A Case Study in Nanjing, China
    Zhou, Guoqing
    Wu, Da
    Zhou, Xiao
    Zhu, Qiang
    REMOTE SENSING, 2023, 15 (13)
  • [3] Expansion of the built-up areas in Finnish city regions - The approach of travel-related urban zones
    Tiitu, Maija
    APPLIED GEOGRAPHY, 2018, 101 : 1 - 13
  • [4] Automated Extraction of Built-Up Areas by Fusing VIIRS Nighttime Lights and Landsat-8 Data
    Liu, Chang
    Yang, Kang
    Bennett, Mia M.
    Guo, Ziyan
    Cheng, Liang
    Li, Manchun
    REMOTE SENSING, 2019, 11 (13)
  • [5] The correlation between water-carbon and urban spatial form in built-up areas: Evidence from Shenzhen City, China
    Wang, Gaoyuan
    Li, Muhan
    Li, Yangli
    Chen, Tian
    Heng, Chye Kiang
    URBAN CLIMATE, 2025, 59
  • [6] 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)
  • [7] Evaluation of Economic Linkage between Urban Built-Up Areas in a Mid-Sized City of Uyo (Nigeria)
    Essien, Etido
    Samimi, Cyrus
    LAND, 2021, 10 (10)
  • [8] Spatial Expansion of Built-Up Areas in the Beijing-Tianjin-Hebei Urban Agglomeration Based on Nighttime Light Data: 1992-2020
    Zhang, Hua
    Liang, Chen
    Pan, Yuxuan
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2022, 19 (07)
  • [9] Extraction of Urban Built-Up Areas Using Nighttime Light (NTL) and Multi-Source Data: A Case Study in Dalian City, China
    Li, Xueming
    Song, Yishan
    Liu, He
    Hou, Xinyu
    LAND, 2023, 12 (02)
  • [10] A new method for extracting built-up urban areas using DMSP-OLS nighttime stable lights: a case study in the Pearl River Delta, southern China
    Su, Yongxian
    Chen, Xiuzhi
    Wang, Chongyang
    Zhang, Hongou
    Liao, Jishan
    Ye, Yuyao
    Wang, Changjian
    GISCIENCE & REMOTE SENSING, 2015, 52 (02) : 218 - 238