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

Author

Listed:
  • Subhanil Guha

    (National Institute of Technology Raipur)

  • Himanshu Govil

    (National Institute of Technology Raipur)

Abstract

The present study aims to assess the trend of spatiotemporal relationship between land surface temperature (LST) and normalized difference vegetation index (NDVI) under different ranges of LST and NDVI values for Raipur City of India using fifteen cloud-free Landsat data sets of the pre-monsoon season from 2002 to 2018. LST maintains a strong negative relationship with NDVI for the whole of the study area. The relationship is quite insignificant for both the high LST zones and low LST zones. The results also indicate that under the positive NDVI values, the LST–NDVI relationships are strong to moderately negative, whereas it is positive and non-consistent under the negative values of NDVI. The results also show that the relationship is stronger in the earlier times, whereas it is weaker in recent times. An increase in heterogeneous landscape inside the city boundary strongly supports the changing pattern of LST–NDVI relationship.

Suggested Citation

  • Subhanil Guha & Himanshu Govil, 2021. "An assessment on the relationship between land surface temperature and normalized difference vegetation index," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(2), pages 1944-1963, February.
    • Handle: RePEc:spr:endesu:v:23:y:2021:i:2:d:10.1007_s10668-020-00657-6
    DOI: 10.1007/s10668-020-00657-6
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    Cited by:

    1. Zhiwei Wan & Hongqi Wu, 2022. "Evolution of Ecological Patterns of Poyang Lake Wetland Landscape over the Last One Hundred Years Based on Historical Topographic Maps and Landsat Images," Sustainability, MDPI, vol. 14(13), pages 1-17, June.
    2. Yuanzheng Li & Zezhi Zhao & Yashu Xin & Ao Xu & Shuyan Xie & Yi Yan & Lan Wang, 2022. "How Are Land-Use/Land-Cover Indices and Daytime and Nighttime Land Surface Temperatures Related in Eleven Urban Centres in Different Global Climatic Zones?," Land, MDPI, vol. 11(8), pages 1-22, August.

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