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  • Open Access

    ARTICLE

    Retrieval of Surface Soil Moisture Using Landsat 8 TIRS Data: A Case Study of Faisalabad

    Uzair Abbas1, Zahid Maqbool1, Muhammad Adnan Shahid1,2,*, Muhammad Safdar1,2, Saif Ullah Khan1,3

    Revue Internationale de Géomatique, Vol.34, pp. 655-668, 2025, DOI:10.32604/rig.2025.064279 - 11 August 2025

    Abstract This study was conducted to devise an integrated methodology for retrieval of surface soil moisture (SSM) using Landsat 8 TIRS data. For this purpose, Landsat 8 images of 15 May 2021 (pre-monsoon) and 20 November 2021 (post-monsoon) were processed for retrieval of soil moisture index (SMI) based on land surface temperature (LST). Moreover, field-based SM in the laboratory was also determined and correlated with satellite-based SMI. A moderate correlation between field-based SM and satellite-based SMI with R2 = 0.60 was obtained. Based on this relationship, SSM maps of Tehsil Faisalabad Saddar for the pre-and post-monsoon seasons… More >

  • Open Access

    ARTICLE

    Assessing the Impact of Urban Green Spaces on Land Surface Temperature in Shah Alam and Putrajaya

    Aqeel Shah Abdul Halim Shah1,2, Nafisah Khalid1,*, Abdul Rauf Abdul Rasam1

    Revue Internationale de Géomatique, Vol.34, pp. 603-617, 2025, DOI:10.32604/rig.2025.065369 - 06 August 2025

    Abstract Urban green spaces (UGS) play a crucial role in promoting ecological, social, and environmental sustainability. UGS play a key role in reducing land surface temperature (LST) in rapidly urbanizing areas, thereby mitigating the urban heat island (UHI) effect. This paper conducts an extensive analysis of land use, Normalized Difference Vegetation Index (NDVI), and LST to examine the influence of the environmental landscapes of Shah Alam and Putrajaya from 2014 to 2023 on the variation of LST. In 2014, NDVI values in Shah Alam ranged from 0.35 to 0.50, fluctuating to 0.32 to 0.48 in 2023.… More > Graphic Abstract

    Assessing the Impact of Urban Green Spaces on Land Surface Temperature in Shah Alam and Putrajaya

  • Open Access

    ARTICLE

    Land-Cover Classification and its Impact on Peshawar’s Land Surface Temperature Using Remote Sensing

    Shahab Ul Islam1, Saifullah Jan2, Abdul Waheed3,4,*, Gulzar Mehmood5, Mahdi Zareei6, Faisal Alanazi7

    CMC-Computers, Materials & Continua, Vol.70, No.2, pp. 4123-4145, 2022, DOI:10.32604/cmc.2022.019226 - 27 September 2021

    Abstract Spatial and temporal information on urban infrastructure is essential and requires various land-cover/land-use planning and management applications. Besides, a change in infrastructure has a direct impact on other land-cover and climatic conditions. This study assessed changes in the rate and spatial distribution of Peshawar district’s infrastructure and its effects on Land Surface Temperature (LST) during the years 1996 and 2019. For this purpose, firstly, satellite images of bands7 and 8 ETM+(Enhanced Thematic Mapper) plus and OLI (Operational Land Imager) of 30 m resolution were taken. Secondly, for classification and image processing, remote sensing (RS) applications… More >

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