Persistent heat islands monitoring of Tehran metropolis using temporal analysis of Landsat-8 satellite images

被引:0
|
作者
Kalhor, Reyhaneh [1 ]
Safdarinezhad, Alireza [1 ]
Behnabian, Behzad [1 ]
机构
[1] Department of Geodesy and Surveying Engineering, Tafresh University, Tafresh,39518-79611, Iran
关键词
Atmospheric temperature - Land surface temperature - Landsat - Tropics;
D O I
10.1007/s11356-024-35022-x
中图分类号
学科分类号
摘要
The management and design of urban areas in metropolises pose significant challenges. Balancing diverse land uses within a metropolitan structure and addressing spatial and environmental constraints are just some of these challenges. Urban heat islands, which stem from factors such as inappropriate construction materials, inadequate building insulation, improper land use locations, and unsuitable built-up density, reflect environmental imbalances within urban infrastructure. Effectively addressing these temperature discrepancies can lead to energy preservation, reduced environmental hazards, and enhanced comfort for urban residents. This study employed Landsat-8 satellite images to identify and monitor positive and convex temperature disparities across various districts of Tehran over 3 years (2018 to 2020) using three different strategies. These disparities are estimated through the differences in land surface temperature from the thermal trend of each district and their persistence has been assessed in seasonal, semi-annual, and annual strategies. The study found that industrial areas, including warehouses, were the significant contributors to the persistent presence of urban heat islands in summer and winter. Open areas with impervious surfaces or bare soil, particularly those lacking sufficient green cover, also significantly contributed to the heat island effect. Certain large shopping centers, often due to their air conditioning systems, were also consistently identified as persistent heat islands. Evaluations demonstrated that over 78.8% of the identified persistent heat islands were meaningful, with most located in the northern and western parts of Tehran. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.
引用
收藏
页码:58541 / 58561
页数:20
相关论文
共 50 条
  • [21] Assessment of Forest Damage in Croatia using Landsat-8 OLI Images
    Milas, Anita Simic
    Rupasinghe, Prabha
    Balenovic, Ivan
    Grosevski, Pece
    SEEFOR-SOUTH-EAST EUROPEAN FORESTRY, 2015, 6 (02): : 159 - 169
  • [22] Trend assessment of spatio-temporal change of Tehran Heat Island using satellite images
    Saradjian, M. R.
    Sherafati, Sh.
    INTERNATIONAL CONFERENCE ON SENSORS & MODELS IN REMOTE SENSING & PHOTOGRAMMETRY, 2015, 41 (W5): : 657 - 663
  • [23] Analysis of Near-Surface Temperature Lapse Rates in Mountain Ecosystems of Northern Mexico Using Landsat-8 Satellite Images and ECOSTRESS
    Rosas-Chavoya, Marcela
    Lopez-Serrano, Pablito Marcelo
    Hernandez-Diaz, Jose Ciro
    Wehenkel, Christian
    Vega-Nieva, Daniel Jose
    REMOTE SENSING, 2022, 14 (01)
  • [24] Spatiotemporal image-fusion model for enhancing the temporal resolution of Landsat-8 surface reflectance images using MODIS images
    Hazaymeh, Khaled
    Hassan, Quazi K.
    JOURNAL OF APPLIED REMOTE SENSING, 2015, 9
  • [25] Automated Decryption of Bodies of Water on the Basis of LANDSAT-8 Satellite Images with Reference to Controlled Classification
    Palamar, Mykhaylo
    Pohrebennyk, Volodymyr
    Puleko, Igor
    Chumakevych, Viktor
    Ptashnyk, Vadym
    PRZEGLAD ELEKTROTECHNICZNY, 2020, 96 (11): : 115 - 118
  • [26] Mapping water salinity using Landsat-8 OLI satellite images (Case study: Karun basin located in Iran)
    Ansari, Mohsen
    Akhoondzadeh, Mehdi
    ADVANCES IN SPACE RESEARCH, 2020, 65 (05) : 1490 - 1502
  • [27] Paddy lands detection using Landsat-8 satellite images and object-based classification in Rasht city, Iran
    Hedayati, Amir
    Vahidnia, Mohammad H.
    Behzadi, Saeed
    EGYPTIAN JOURNAL OF REMOTE SENSING AND SPACE SCIENCES, 2022, 25 (01): : 73 - 84
  • [28] Comparative analysis of digital classifiers of Landsat-8 images for thematic mapping procedures
    Trovo Garofalo, Danilo Francisco
    Messias, Cassiano Gustavo
    Liesenberg, Veraldo
    Bolfe, Edson Luis
    Ferreira, Marcos Cesar
    PESQUISA AGROPECUARIA BRASILEIRA, 2015, 50 (07) : 593 - 604
  • [29] Identifying Sugarcane Plantation using LANDSAT-8 Images with Support Vector Machines
    Mulyono, Sidik
    Nadirah
    2ND INTERNATIONAL CONFERENCE OF INDONESIAN SOCIETY FOR REMOTE SENSING (ICOIRS), 2017, 47
  • [30] Assessment of Different Bathymetry Statistical Models Using Landsat-8 Multispectral Images
    Makboul, Omar
    Negm, Abdelazim
    Mesbah, Saleh
    Mohasseb, Mohamed
    HYDROLOGIC MODELING, 2018, 81 : 277 - 290