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.

摘要

地表温度（LST）是任何城市生态健康的重要组成部分，LST与归一化植被指数（NDVI）密切相关。本研究使用 1991-92 年至 2018-19 年不同季节的大型 Landsat 传感器数据集评估 LST 与 NDVI 关系的季节性变化。使用 Pearson 相关系数技术获得 LST-NDVI 关系。该研究还通过应用城市热场方差指数 (UTFVI) 来比较城市的生态和热状况。结果发现平均 LST 显着增加。后季风季节产生最佳相关性 (-0.59)，其次是季风季节 (-0.53)、前季风季节 (-0.45) 和冬季 (-0.22)。除了这种关系，城市的生态状况也得到了估计。几乎等量的土地处于优良和最差的生态条件类别。这项研究有利于任何热带城市未来的生态规划。