Monitoring the Impact of Rapid Urbanization on Land Surface Temperature and Assessment of Surface Urban Heat Island Using Landsat in Megacity (Lahore) of Pakistan

被引:12
|
作者
Farid, Nasir [1 ]
Moazzam, Muhammad Farhan Ul [2 ]
Ahmad, Sajid Rashid [1 ]
Coluzzi, Rosa [3 ]
Lanfredi, Maria [3 ]
机构
[1] Univ Punjab, Coll Earth & Environm Sci, Lahore, Pakistan
[2] Jeju Natl Univ, Coll Ocean Sci, Dept Civil Engn, Jeju, South Korea
[3] Italian Natl Res Council, Inst Methodol Environm Anal, Tito, Italy
来源
关键词
landsat; image classification; error matrix; urbanization; LST; SUHI; COVER CHANGES; ACCURACY; CLIMATE; CITIES; CLASSIFICATIONS; PATTERN;
D O I
10.3389/frsen.2022.897397
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
The present study focused on rapid urbanization due to the change in the existing landforms which has caused substantial adverse impacts on Urban Thermal Environment. In the present study, we have acquired the Landsat data (TM and OLI) for the years 1990, 2000, 2010, and 2020 to observe the land use changes (vegetation cover, built up land, barren land, and water) in Lahore using the supervised image classification method. Later, the impact of urbanization has been examined with Land Surface Temperature (LST) and eventually the Surface Urban Heat Island (SUHI) has been calculated. Accuracy of the classified images revealed an overall accuracy (Kappa co-efficient) of 95.3% (0.929%), 92.05% (0.870%), 89.7% (0.891%), and 85.8% (0.915%) for the years 1990, 2000, 2010, and 2020, respectively. It was found that vegetation cover decreased from 60.5% in 1990 to 47.7% in 2020 at the cost of urbanization. The overall built-up land increased by 23.52% from 1990 to 2020. Urbanization has influenced the LST, and it was examined that maximum LST consistently increased with increase in built-up land. The difference between urban and rural buffer reveals that SUHI has also been increasing over the years. SUHI has been raised from 1.72 C in 1990 to 2.41 C in 2020, and about 0.69 C relative change has been observed. It has also been observed that the Normalized Difference Vegetation Index (NDVI) and LST have an inverse relationship. The research outcomes of this study are useful for urban climatologists, urban planners, architects, and policymakers to devise climate resilient policies, structure, and decisions to balance the urban green spaces for a healthy urban environment.
引用
收藏
页数:12
相关论文
共 50 条
  • [41] MODIS land surface temperature data for prediction of urban heat island effect
    Shafi, Mujtaba
    Jain, Amit
    Rashid, Irfan
    [J]. INTERNATIONAL JOURNAL OF SUSTAINABLE AGRICULTURAL MANAGEMENT AND INFORMATICS, 2019, 5 (04) : 270 - 280
  • [42] DOWNSCALING OF THE LAND SURFACE TEMPERATURE OVER URBAN AREA USING LANDSAT DATA
    Bonafoni, Stefania
    Anniballe, Roberta
    Pierdicca, Nazzareno
    [J]. 2015 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2015, : 1144 - 1147
  • [43] Quantifying the response of surface urban heat island to urbanization using the annual temperature cycle model附视频
    Huidong Lia
    Yuyu Zhou
    Gensuo Jia
    Kaiguang Zhao
    Jinwei Dong
    [J]. Geoscience Frontiers, 2022, (01) - 493
  • [44] Spatiotemporal Influences of LULC Changes on Land Surface Temperature in Rapid Urbanization Area by Using Landsat-TM and TIRS Images
    Kaiser, Eduardo Andre
    Alves Rolim, Silvia Beatriz
    Bica Grondona, Atilio Efrain
    Hackmann, Cristiano Lima
    Linn, Rodrigo de Marsillac
    Kafer, Pamela Suelen
    da Rocha, Najila Souza
    Diaz, Lucas Ribeiro
    [J]. ATMOSPHERE, 2022, 13 (03)
  • [45] Spatiotemporal variability of urban heat island: Influence of urbanization on seasonal pattern of land surface temperature in the Metropolitan Region of Belem, Brazil
    de Oliveira Souto, Jefferson Inayan
    Paiva Cohen, Julia Clarinda
    [J]. URBE-REVISTA BRASILEIRA DE GESTAO URBANA, 2021, 13
  • [46] Assessment of Changes in Land Use/Land Cover and Land Surface Temperatures and Their Impact on Surface Urban Heat Island Phenomena in the Kathmandu Valley (1988-2018)
    Sarif, Md Omar
    Rimal, Bhagawat
    Stork, Nigel E.
    [J]. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2020, 9 (12)
  • [47] 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
    [J]. Environmental Science and Pollution Research, 2020, 27 : 39865 - 39878
  • [48] 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
    [J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2020, 27 (32) : 39865 - 39878
  • [49] Monitoring surface urban heat island formation in a tropical mountain city using Landsat data (1987-2015)
    Estoque, Ronald C.
    Murayama, Yuji
    [J]. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2017, 133 : 18 - 29
  • [50] Appraisal of Urban Heat Island Detection of Peshawar Using Land Surface Temperature and Its Impacts on Environment
    Rashid Mehmood
    Muhammad Atif Butt
    [J]. Journal of the Indian Society of Remote Sensing, 2019, 47 : 1091 - 1096