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Himanshu Govil

Biographic Data

ID5776513
NAMEHimanshu Govil
GIVEN NAMESHimanshu
FAMILY NAMEGovil
SIGNATUREGOVIL H
AFFILIATIONSNational Institute of Technology Raipur
ORCID0000-0002-3433-8355
VERIFIEDYes
TOTAL WORKS7
TOTAL CITATIONS2
WORKS AS AUTHOR7
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2018
LATEST PUBLICATION YEAR2024
H-INDEX1
  • Agricultural land suitability classification and crop suggestion using machine learning and spatial multicriteria decision analysis in semi-arid ecosystem

    Open Access•Neelam Agrawal, Himanshu Govil et al.•ARTICLE•Environment Development and…•2024

  • Seasonal variability of LST-NDVI correlation on different land use/land cover using Landsat satellite sensor

    Open Access•Subhanil Guha, Himanshu Govil•ARTICLE•Environment Development and…•2022

  • An assessment on the relationship between land surface temperature and normalized difference vegetation index

    Open Access•Subhanil Guha, Himanshu Govil•ARTICLE•Environment Development and…•2021

  • A long-term seasonal analysis on the relationship between LST and NDBI using Landsat data

    Open Access•Subhanil Guha, Himanshu Govil et al.•ARTICLE•Quaternary International•2021

  • Characterizing the glacier surge dynamics in Yarkand basin, Karakoram using remote sensing

    Open Access•Ram Moorat Singh, Himanshu Govil et al.•ARTICLE•Quaternary International•2021

  • A case study on the relationship between land surface temperature and land surface indices in Raipur City, India

    Subhanil Guha, Himanshu Govil et al.•ARTICLE•Geografisk Tidsskrift-Danish…•2020•Cited by: 2•References: 70

    Land surface temperature (LST) depends primarily on the land surface material and climatic conditions. The present study focuses on deriving the LST of Raipur City and generating the relationship between LST and some land surface indices, like NDVI, NDWI, NDBI, NMDI, and NDBaI for better land-use planning and environmental management inside the city. These land surface indices respond in different ways with the changes of LST in an urban landscap…

  • Analytical study of land surface temperature with NDVI and NDBI using Landsat 8 OLI and Tirs data in Florence and Naples city, Italy

    Open Access•Subhanil Guha, Himanshu Govil et al.•ARTICLE•European Journal of Remote Sensing•2018

    The present study focuses on determining the relationship of estimated land surface temperature (LST) with normalized difference vegetation index (NDVI) and normalized difference built-up index (NDBI) for Florence and Naples cities in Italy using Landsat 8 data. The study also classifies different land use/land cover LU–LC) types using NDVI and NDBI threshold values, iterative self-organizing data analysis technique and maximum likelihood classif…

  • A case study on the relationship between land surface temperature and land surface indices in Raipur City, India

    Subhanil Guha, Himanshu Govil et al.•ARTICLE•Geografisk Tidsskrift-Danish…•2020•Cited by: 2•References: 70

    Land surface temperature (LST) depends primarily on the land surface material and climatic conditions. The present study focuses on deriving the LST of Raipur City and generating the relationship between LST and some land surface indices, like NDVI, NDWI, NDBI, NMDI, and NDBaI for better land-use planning and environmental management inside the city. These land surface indices respond in different ways with the changes of LST in an urban landscap…

  • Analytical study of land surface temperature with NDVI and NDBI using Landsat 8 OLI and Tirs data in Florence and Naples city, Italy

    Open Access•Subhanil Guha, Himanshu Govil et al.•ARTICLE•European Journal of Remote Sensing•2018

    The present study focuses on determining the relationship of estimated land surface temperature (LST) with normalized difference vegetation index (NDVI) and normalized difference built-up index (NDBI) for Florence and Naples cities in Italy using Landsat 8 data. The study also classifies different land use/land cover LU–LC) types using NDVI and NDBI threshold values, iterative self-organizing data analysis technique and maximum likelihood classif…

  • A case study on the relationship between land surface temperature and land surface indices in Raipur City, India

    Subhanil Guha, Himanshu Govil et al.•ARTICLE•Geografisk Tidsskrift-Danish…•2020•Cited by: 2•References: 70

    Land surface temperature (LST) depends primarily on the land surface material and climatic conditions. The present study focuses on deriving the LST of Raipur City and generating the relationship between LST and some land surface indices, like NDVI, NDWI, NDBI, NMDI, and NDBaI for better land-use planning and environmental management inside the city. These land surface indices respond in different ways with the changes of LST in an urban landscap…

  • An assessment on the relationship between land surface temperature and normalized difference vegetation index

    Open Access•Subhanil Guha, Himanshu Govil•ARTICLE•Environment Development and…•2021

  • A long-term seasonal analysis on the relationship between LST and NDBI using Landsat data

    Open Access•Subhanil Guha, Himanshu Govil et al.•ARTICLE•Quaternary International•2021

  • Characterizing the glacier surge dynamics in Yarkand basin, Karakoram using remote sensing

    Open Access•Ram Moorat Singh, Himanshu Govil et al.•ARTICLE•Quaternary International•2021

  • Seasonal variability of LST-NDVI correlation on different land use/land cover using Landsat satellite sensor

    Open Access•Subhanil Guha, Himanshu Govil•ARTICLE•Environment Development and…•2022

  • Agricultural land suitability classification and crop suggestion using machine learning and spatial multicriteria decision analysis in semi-arid ecosystem

    Open Access•Neelam Agrawal, Himanshu Govil et al.•ARTICLE•Environment Development and…•2024

Environmental Science (6 works) · Geography (6 works) · Climate change (5 works) · Climatology (5 works) · Geology (5 works) · Land use (5 works) · Land Use and Ecosystem Services (5 works) · Normalized Difference Vegetation Index (5 works) · Physical geography (5 works) · Urban Green Space and Health (5 works)

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