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Assessment of land surface temperature and carbon sequestration using remotely sensed satellite data in the Imphal-West district, Manipur, India

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Abstract

The interrelationship between the land use and land cover (LULC) pattern, land surface temperature (LST), carbon stock, and sequestration has been assessed using satellite data and Geographical Information System (GIS) tools in Imphal-West district, Manipur, India (North Eastern region of India). LST for the past 10 years (2011–2021) was calculated using three retrieval methods such as Mono Window Algorithm (MWA), Radiative Transfer Equation (RTE) and Single Channel Algorithm (SCA). The calculated LST (temperature varies in the range of 10°–40°C) was compared with atmospheric temperature values obtained from MODIS (Moderate Resolution Imaging Spectroradiometer) data as well as field (ground station) data collected. From the comparison, it was observed that the SCA method obtained a minimum mean temperature difference (minimum error) as compared to MODIS data, while the MWA method obtained a minimum mean temperature difference as compared to field data. The calculated (generated) results were again compared and validated using measured soil temperature data and observed similar trend showing MWA and SCA slightly efficient than RTE method. In order to understand the LULC change pattern in the study area as well as to estimate the aboveground biomass, LULC for the years 2011, 2016, 2021, and 2030 were also generated. Then, carbon stock for the years 2011, 2021, and 2030 and sequestration for the year 2030 were calculated using the InVEST (Integrated Valuation of Ecosystem Services and Tradeoffs) model. It is concluded that the study area has witnessed a gradual increase in urbanisation (built-up area increases by up to 2.9% in 10 years, i.e., between 2011 and 2021, but significantly decreases in barren land, 9.9%), but not an abrupt change in LST and carbon storage. However, the significant spatial change distribution of LST and carbon stock with the change in LULC pattern was observed.

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Acknowledgements

The authors gratefully acknowledge the USGS and NASA for making the satellite data available to the public. The authors thank the Department of Environment and Climate Change, Manipur, India for providing ground atmospheric temperature data and the Indian Council of Agricultural Research (ICAR), Manipur, India for providing the field data (soil temperature) of the study area. The authors extend their gratitude to the Ministry of Human Resource Development (MHRD), Government of India and the National Institute of Technology, Manipur, India for providing the research support and grant for their PhD study.

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Authors and Affiliations

  1. Department of Civil Engineering, National Institute of Technology, Langol, 795 004, Manipur, India

    Nameirakpam Momo & Thiyam Tamphasana Devi

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  1. Nameirakpam Momo
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  2. Thiyam Tamphasana Devi
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Contributions

TTD: Conceptualisation, supervision, writing – review and editing, TTD and NM: methodology, validation, software and analysis. Both the authors have read and prepared the manuscript.

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Correspondence to Nameirakpam Momo.

Additional information

Communicated by Kavirajan Rajendran

Corresponding editor: Kavirajan Rajendran

Appendix

Appendix

See tables A1 and A2.

Table A1 Atmospheric calculation for Landsat 7 (ETM+).
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Table A2 Atmospheric calculation for Landsat 8 (OLI/TIRS).
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Momo, N., Devi, T. Assessment of land surface temperature and carbon sequestration using remotely sensed satellite data in the Imphal-West district, Manipur, India. J Earth Syst Sci 131, 229 (2022). https://doi.org/10.1007/s12040-022-01944-8

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  • DOI: https://doi.org/10.1007/s12040-022-01944-8

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