Urban heat island effect over Delhi NCR using LANDSAT™ data

被引:1
|
作者
Srivastava, Mohit Raja [1 ]
Satyaprakash [1 ]
机构
[1] Sharda Univ, Dept Civil Engn, Greater Noida, UP, India
关键词
urban heat island; UHI; Delhi NCR; mono-window algorithm; land surface temperature; LST; LAND-SURFACE TEMPERATURE; ALGORITHM;
D O I
10.1504/IJGW.2020.110865
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In this paper, the authors have analysed the phenomenon of urban heat island using LANDSAT (TM) data for the Delhi NCR region applying the mono-window algorithm. The spatial pattern of land surface temperature (LST) from 2001 to 2019 was retrieved to study its effect on urban heat island, henceforth referred to as UHI. The LST maps of 26 profiles spread over the entire study area for every year were studied to find any corroboration. The authors conclude that the UHI effect increased during 2001-2010 as the region underwent a massive infrastructure development phase. During 2010-2016, it showed a decreasing trend due to an increase in forest cover and the various government initiatives to minimise the effect of construction activities and climate change. However, beyond 2016, the LST and UHI data shows an increasing trend. The calculated LST value is observed to be highest in 2018 whereas the UHI effect is increasing and has been obtained as the maximum in 2019, giving rise to localised climate change. This indicates that the earlier initiatives taken are no longer effective and new steps need to be taken to minimise the effect of UHI.
引用
收藏
页码:272 / 294
页数:23
相关论文
共 50 条
  • [1] Study on Heat Island Effect in Urban Area of Tianjin Using Landsat Data
    Du, Zitao
    Hao, Lin
    Cao, Yiding
    Du, Chuang
    Yan, Shuqiang
    Yang, Xiaoming
    [J]. INTERNATIONAL CONFERENCE ON REMOTE SENSING AND WIRELESS COMMUNICATIONS (RSWC 2014), 2014, : 146 - 151
  • [2] Assessment of monthly variations of Urban Heat Island in Delhi using Landsat 8 dataset
    Solanki, Srishti
    Garg, J. K.
    [J]. REMOTE SENSING TECHNOLOGIES AND APPLICATIONS IN URBAN ENVIRONMENTS III, 2018, 10793
  • [3] Observation and forecast on urban heat island effect based on Landsat data
    You Cheng-zeng
    Shu An
    Yang Xin-yuan
    Peng Ling
    Li Xiang
    Yao Xiao-jing
    [J]. 2ND INTERNATIONAL CONFERENCE ON ADVANCES IN ENERGY RESOURCES AND ENVIRONMENT ENGINEERING, 2017, 59
  • [4] Spatio - temporal variations of urban heat island over Delhi
    Pandey, Alok Kumar
    Singh, Sachchidanand
    Berwal, Shivesh
    Kumar, Dinesh
    Pandey, Puneeta
    Prakash, Amit
    Lodhi, Neelesh
    Maithani, Sandeep
    Jain, Vinod Kumar
    Kumar, Krishan
    [J]. URBAN CLIMATE, 2014, 10 : 119 - 133
  • [5] On Urban Heat Island of Beijng Based on Landsat TM Data
    JIANG Zhangyan CHEN Yunhao LI Jing
    [J]. Geo-spatial Information Science, 2006, (04) : 293 - 297
  • [6] Monitoring dynamics of urban expansion using time series Landsat imageries and machine learning in Delhi NCR
    Naikoo, Mohd Waseem
    Bindajam, Ahmad A.
    Shahfahad
    Talukdar, Swapan
    Asif
    Tayyab, Mohammad
    Mallick, Javed
    Ishtiaq, M.
    Rahman, Atiqur
    [J]. ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY, 2024,
  • [7] On Urban Heat Island of Beijng Based on Landsat TM Data
    Jiang Zhangyan
    Chen Yunhao
    Li Jing
    [J]. GEO-SPATIAL INFORMATION SCIENCE, 2006, 9 (04) : 293 - 297
  • [8] REMOTE SENSING OF URBAN MICROCLIMATE WITH SPECIAL REFERENCE TO URBAN HEAT ISLAND USING LANDSAT THERMAL DATA
    Singh, Ram Babu
    Grover, Aakriti
    [J]. GEOGRAPHIA POLONICA, 2014, 87 (04) : 555 - 568
  • [9] Characterizing the Urban Heat Island in Beijing Using Landsat Imagery
    Yu, Gengkang
    Yang, Shenbin
    Shen, Shuanghe
    [J]. PROCEEDINGS OF THE 2010 INTERNATIONAL CONFERENCE ON APPLICATION OF MATHEMATICS AND PHYSICS, VOL 1: ADVANCES ON SPACE WEATHER, METEOROLOGY AND APPLIED PHYSICS, 2010, : 191 - 196
  • [10] MAPPING THE SURFACE URBAN HEAT ISLAND EFFECT USING THE LANDSAT SURFACE TEMPERATURE PRODUCT
    Mueller, Chase
    Hussain, Reza
    Xian, George
    Shi, Hua
    Arab, Saeed
    [J]. IGARSS 2023 - 2023 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2023, : 441 - 444