Dynamic seasonal analysis on LST-NDVI relationship and ecological health of Raipur City, India

Abstract

Land surface temperature (LST) is a significant component of the ecological health of any city and the LST is closely related to the normalized difference vegetation index (NDVI). The present study evaluates the seasonal variability of the relationship of LST with NDVI by using a large dataset of Landsat sensors for different seasons from 1991-92 to 2018-19. Pearson’s correlation coefficient technique was used to obtain the LST-NDVI relationship. The study also compares the ecological and thermal status of the city by applying the urban thermal field variance index (UTFVI). The results found that the mean LST increased considerably. The post-monsoon season produces the best correlation (-0.59), followed by the monsoon season (-0.53), pre-monsoon season (-0.45), and winter season (-0.22). Apart from this relationship, the ecological status of the city has also been estimated. Almost an equal portion of lands are under the excellent and worst categories of ecological condition. This study is beneficial for future ecological planning in any tropical city.

Keywords

• ecological planning
• landsat
• lst
• ndvi
• utfvi