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Impacts of Land Use and Land Cover Changes on Land Surface Temperature over Cachar Region, Northeast India—A Case Study

Author

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  • Kumar Ashwini

    (Department of Civil Engineering, National Institute of Technology, Silchar 788010, Assam, India)

  • Briti Sundar Sil

    (Department of Civil Engineering, National Institute of Technology, Silchar 788010, Assam, India)

Abstract

The promptness of industrialisation and expanding urbanisation to achieve targets of economics are resulting in the transfiguration of permeable surfaces into impervious ones through LULC adaptation, leaving a herculean footprint on the ecosystem. The LULC escalates land surface temperature (LST), which further stimulates urban heat islands (UHIs), ultimately remaining in tune with high levels of air pollution, energy use, and corresponding health hazards. The present evaluation first used Landsat TM/OLI satellite data to identify the labyrinth of the LULC rotation and, secondly, gauged its effects on the LST in the Cachar district of Assam, India, for the years 1990, 2000, 2010, and 2020. It embraces Cellular Automata (CA) and GIS methodologies to pull out the urbanization pattern and its ramifications in various LULC brackets of Cachar, India. It also embraces spatiotemporal LULC monitoring (1990–2020) and urban growth modelling (2030–2040). From the period 1990 to 2020, satellite-based LULC showed a net urban expansion of 269.43 km 2 (7.13% increase). Some correlations were developed to show the relationship between spatial indices such as NDVI, NDBI, and NDWI with Land Surface Temperature (LST). Resultantly, a positive relation exists between LST and NDBI, but a negative correlation prevails between LST and NDVI, as well as NDWI. This evaluation will be of service to urban and environmental planners, providing them with detailed knowledge on how land cover is changing uniquely in northeast India.

Suggested Citation

  • Kumar Ashwini & Briti Sundar Sil, 2022. "Impacts of Land Use and Land Cover Changes on Land Surface Temperature over Cachar Region, Northeast India—A Case Study," Sustainability, MDPI, vol. 14(21), pages 1-31, October.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:21:p:14087-:d:956687
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    References listed on IDEAS

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    1. Siddique Ullah & Adnan Ahmad Tahir & Tahir Ali Akbar & Quazi K. Hassan & Ashraf Dewan & Asim Jahangir Khan & Mudassir Khan, 2019. "Remote Sensing-Based Quantification of the Relationships between Land Use Land Cover Changes and Surface Temperature over the Lower Himalayan Region," Sustainability, MDPI, vol. 11(19), pages 1-16, October.
    2. Shaikh Shamim Hasan & Xiangzheng Deng & Zhihui Li & Dongdong Chen, 2017. "Projections of Future Land Use in Bangladesh under the Background of Baseline, Ecological Protection and Economic Development," Sustainability, MDPI, vol. 9(4), pages 1-21, March.
    3. Huiran Han & Chengfeng Yang & Jinping Song, 2015. "Scenario Simulation and the Prediction of Land Use and Land Cover Change in Beijing, China," Sustainability, MDPI, vol. 7(4), pages 1-20, April.
    4. Matthew E. Kahn, 2009. "Urban Growth and Climate Change," Annual Review of Resource Economics, Annual Reviews, vol. 1(1), pages 333-350, September.
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    Cited by:

    1. Maram Ahmed & Mohammed A. Aloshan & Wisam Mohammed & Essam Mesbah & Naser A. Alsaleh & Islam Elghonaimy, 2024. "Characterizing Land Surface Temperature (LST) through Remote Sensing Data for Small-Scale Urban Development Projects in the Gulf Cooperation Council (GCC)," Sustainability, MDPI, vol. 16(9), pages 1-23, May.
    2. Kumar Ashwini & Briti Sundar Sil & Abdulla Al Kafy & Hamad Ahmed Altuwaijri & Hrithik Nath & Zullyadini A. Rahaman, 2024. "Harnessing Machine Learning Algorithms to Model the Association between Land Use/Land Cover Change and Heatwave Dynamics for Enhanced Environmental Management," Land, MDPI, vol. 13(8), pages 1-30, August.

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