Monitoring spatial pattern of land surface thermal characteristics and urban growth: A case study of King Williams using remote sensing and GIS

被引:23
|
作者
Willie, Yanga A. [1 ]
Pillay, Rajendran [1 ]
Zhou, L. [2 ]
Orimoloye, Israel R. [1 ,3 ]
机构
[1] Univ Ft Hare, Dept Geog & Environm Sci, Private Hag X1314, ZA-5700 Alice, Eastern Cape Pr, South Africa
[2] Univ Ft Hare, Risk & Vulnerabil Sci Ctr, Alice, South Africa
[3] Univ Free State, Fac Nat & Agr Sci, Ctr Environm Management, POB 339, ZA-9300 Bloemfontein, South Africa
关键词
Urbanization; Surface heat islands; Urban heat island; LST; NDVI; NDBI; USE/LAND COVER CHANGES; HEAT-ISLAND; CLIMATE-CHANGE; BUILT-UP; TEMPERATURE; VEGETATION; IMPACTS; REGION; INDEX; TM;
D O I
10.1007/s12145-019-00391-2
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The world is currently experiencing unprecedented urban growth, industrialization, and the perceived higher standard of living that is often associated with access to better infrastructure. "Surface Heat Island (SHI) is a phenomenon where urban areas experience higher surface temperatures compared to the surrounding rural areas. The presence of the SHI in urban areas in most cases has a negative impact not only on city dwellers, but also on the environment and the economy. This study aimed at evaluating SHI in King Williams Town by studying the relationship between land surface temperatures, land cover and land cover indices. The derived indices are the Normalized Difference Vegetation Index (NDVI) and Normalized Difference Built-up Index (NDBI), these indices were selected because they are representative of the land surface features." This study was conducted for the King Williams Town (KWT) study area between the years 1995 and 2018, the land surface temperature was derived from Landsat ETM + high thermal band data. The findings from this study provided an idea on the correlation between satellite derived land surface temperature and the land modification, which occurred during the urbanization of King Williams Town during 23-year period between 1995 and 2018. The built-up land category proved to be the most influential or significant in the development of high land surface temperature levels, while vegetation had an opposite effect as a series of data sets illustrated that vegetated areas had a cooling effect on the surface. Water bodies in the study area had insignificant effect on the surface temperature levels while the grass lands were not as cooling as the vegetation but did provide for a cooling environment on the study area.
引用
收藏
页码:447 / 464
页数:18
相关论文
共 50 条
  • [31] Impact of urban greenspace spatial pattern on land surface temperature: a case study in Beijing metropolitan area, China
    Yin, Jie
    Wu, Xiaoxu
    Shen, Miaogen
    Zhang, Xiaoli
    Zhu, Chenghao
    Xiang, Hongxu
    Shi, Chunming
    Guo, Zhiyi
    Li, Chenlu
    LANDSCAPE ECOLOGY, 2019, 34 (12) : 2949 - 2961
  • [32] Spatial Pattern Impact of Impervious Surface Density on Urban Heat Island Effect: A Case Study in Xuzhou, China
    Zhang, Yu
    Wang, Yuchen
    Ding, Nan
    Yang, Xiaoyan
    LAND, 2022, 11 (12)
  • [33] Impact assessment of urban development patterns on land surface temperature by using remote sensing techniques: a case study of Lahore, Faisalabad and Multan district
    Saleem, Muhammad Sajid
    Ahmad, Sajid Rashid
    Shafiq-Ur-Rehman
    Javed, Muhammad Asif
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2020, 27 (32) : 39865 - 39878
  • [34] Impact assessment of urban development patterns on land surface temperature by using remote sensing techniques: a case study of Lahore, Faisalabad and Multan district
    Muhammad Sajid Saleem
    Sajid Rashid Ahmad
    Muhammad Asif Shafiq-Ur-Rehman
    Environmental Science and Pollution Research, 2020, 27 : 39865 - 39878
  • [35] Mapping Land Cover Using Remote Sensing Data and GIS Techniques: A Case Study of Prahova Subcarpathians
    Rujoiu-Mare, Marina-Ramona
    Mihai, Bogdan-Andrei
    ECOSMART - ENVIRONMENT AT CROSSROADS: SMART APPROACHES FOR A SUSTAINABLE DEVELOPMENT, 2016, 32 : 244 - 255
  • [36] Determining the impact of urban components on land surface temperature of Istanbul by using remote sensing indices
    Balcik, Filiz Bektas
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2014, 186 (02) : 859 - 872
  • [37] Impact of urbanization on land surface temperature and surface urban heat Island using optical remote sensing data: A case study of Jeju Island, Republic of Korea
    Ul Moazzam, Muhammad Farhan
    Doh, Yang Hoi
    Lee, Byung Gul
    BUILDING AND ENVIRONMENT, 2022, 222
  • [38] Spatio-temporal pattern of land use and land cover and its effects on land surface temperature using remote sensing and GIS techniques: a case study of Bhubaneswar city, Eastern India (1991–2021)
    Tapas Das
    Antu Jana
    Biswajit Mandal
    Arindam Sutradhar
    GeoJournal, 2022, 87 : 765 - 795
  • [39] Spatiotemporal Monitoring of Land Use-Land Cover and Its Relationship with Land Surface Temperature Changes Based on Remote Sensing, GIS, and Deep Learning
    Karimian, Razieh
    Rangzan, Kazem
    Karimi, Danya
    Einali, Golzar
    JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING, 2024, 52 (11) : 2461 - 2481
  • [40] Analysis of Urban Expansion and its Impacts on Land Surface Temperature and Vegetation Using RS and GIS, A Case Study in Xi'an City, China
    Ullah, Mohib
    Li, Jing
    Wadood, Bilal
    EARTH SYSTEMS AND ENVIRONMENT, 2020, 4 (03) : 583 - 597