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Investigating the Effect of Lockdown During COVID-19 on Land Surface Temperature Using Machine Learning Technique by Google Earth Engine: Analysis of Rajasthan, India

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Communication and Intelligent Systems

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 204))

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Abstract

The COVID-19 in India is part of the global coronavirus pandemic (COVID- 19) caused by severe acute breathing syndrome 2 (SERS-CoV-2). The first case of COVID-19 in India, which originated from China, was reported on January 30, 2020. This study analyzes the effects of lockdown during COVID-19 on land surface temperature for the six categories of water, wetland, bare land, forest, cropland, and urban. It is essential to examine the mean LST differences for each land cover type. This study uses the SR data from Landset8. All Landsat level 1 and level 2 data is directly available to Google Earth Engine, including top of atmosphere (TOA) and surface reflectance (SR). The process is a comparative analysis, so data of the same periods are analyzed for 2019 before lockdown and 2020. There are significant changes that have been seen in land surface temperature. Therefore, it is essential to incorporate an investigation regarding LST differences for each land cover type in various anthropogenic levels. So our results show mean LST differences between during and before the emergence of COVID-19 for each land cover type regarding lockdown policy in Rajasthan, India.

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Author information

Authors and Affiliations

  1. Department of CSE, Swami Keshvanand Institute of Technology Management & Gramothan, Jaipur, Rajasthan, India

    Amita Jangid & Mukesh Kumar Gupta

Authors
  1. Amita Jangid
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  2. Mukesh Kumar Gupta
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Rajasthan Technical University, Kota, Rajasthan, India

    Harish Sharma

  2. Department of Computer Science and Engineering, Swami Keshvanand Institute of Technology, Jaipur, India

    Mukesh Kumar Gupta

  3. Birla Institute of Applied Sciences, Nainital, Uttarakhand, India

    G. S. Tomar

  4. School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore

    Wang Lipo

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Jangid, A., Gupta, M.K. (2021). Investigating the Effect of Lockdown During COVID-19 on Land Surface Temperature Using Machine Learning Technique by Google Earth Engine: Analysis of Rajasthan, India. In: Sharma, H., Gupta, M.K., Tomar, G.S., Lipo, W. (eds) Communication and Intelligent Systems. Lecture Notes in Networks and Systems, vol 204. Springer, Singapore. https://doi.org/10.1007/978-981-16-1089-9_29

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  • DOI: https://doi.org/10.1007/978-981-16-1089-9_29

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-1088-2

  • Online ISBN: 978-981-16-1089-9

  • eBook Packages: EngineeringEngineering (R0)

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