Urban heat island effect over Delhi NCR using LANDSAT™ data

被引:2
|
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] Assessment of monthly variations of Urban Heat Island in Delhi using Landsat 8 dataset
    Solanki, Srishti
    Garg, J. K.
    REMOTE SENSING TECHNOLOGIES AND APPLICATIONS IN URBAN ENVIRONMENTS III, 2018, 10793
  • [2] On Urban Heat Island of Beijng Based on Landsat TM Data
    JIANG Zhangyan CHEN Yunhao LI Jing
    Geo-Spatial Information Science, 2006, (04) : 293 - 297
  • [3] On Urban Heat Island of Beijng Based on Landsat TM Data
    Jiang Zhangyan
    Chen Yunhao
    Li Jing
    GEO-SPATIAL INFORMATION SCIENCE, 2006, 9 (04) : 293 - 297
  • [4] Urban Heat Island Analysis Using the Landsat TM Data and ASTER Data: A Case Study in Hong Kong
    Liu, Lin
    Zhang, Yuanzhi
    REMOTE SENSING, 2011, 3 (07) : 1535 - 1552
  • [5] MODIS land surface temperature data for prediction of urban heat island effect
    Shafi, Mujtaba
    Jain, Amit
    Rashid, Irfan
    INTERNATIONAL JOURNAL OF SUSTAINABLE AGRICULTURAL MANAGEMENT AND INFORMATICS, 2019, 5 (04) : 270 - 280
  • [6] Spatio-Temporal Variability of Urban Heat Islands in Local Climate Zones of Delhi NCR
    Budhiraja, Bakul
    Pathak, Prasad
    Agrawal, Girish
    REMOTE SENSING TECHNOLOGIES AND APPLICATIONS IN URBAN ENVIRONMENTS II, 2017, 10431
  • [7] REMOTE SENSING OF URBAN MICROCLIMATE WITH SPECIAL REFERENCE TO URBAN HEAT ISLAND USING LANDSAT THERMAL DATA
    Singh, Ram Babu
    Grover, Aakriti
    GEOGRAPHIA POLONICA, 2014, 87 (04) : 555 - 568
  • [8] Landsat-8 TIRS Data for Assessing Urban Heat Island Effect and Its Impact on Human Health
    Sagris, Valentina
    Sepp, Mait
    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2017, 14 (12) : 2385 - 2389
  • [9] Earth observation data sets in monitoring of urbanization and urban heat island of Delhi, India
    Singh, Prafull
    Chaudhuri, Anindita Sarkar
    Verma, Pradipika
    Singh, Vivek Kumar
    Meena, Sansar Raj
    GEOMATICS NATURAL HAZARDS & RISK, 2022, 13 (01) : 1762 - 1779
  • [10] Spatial and temporal analysis of urban heat island using Landsat satellite images
    Atiyeh Amindin
    Soheila Pouyan
    Hamid Reza Pourghasemi
    Saleh Yousefi
    John P. Tiefenbacher
    Environmental Science and Pollution Research, 2021, 28 : 41439 - 41450