Investigating the urbanization process and its impact on vegetation change and urban heat island in Wuhan, China

Ghosh

Sustainable Cities and Society

et al. 2021

103

Section: Introductionmentioning

confidence: 99%

Living environment matters: Unravelling the spatial clustering of COVID-19 hotspots in Kolkata megacity, India

Ghosh

Sustainable Cities and Society

et al. 2021

103

“…Many LST-NDVI correlation related research works are available in the tropics and sub-tropics (Kikon et al 2016;Qu et al 2018Qu et al , 2020Cui et al 2019aCui et al , 2019bGui et al 2019;Guha and Govil 2021). The correlation appears stronger in the wet season .…”

Section: Introductionmentioning

confidence: 99%

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

Guha

2021

Ecosyst Health Sustain

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), premonsoon 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.

“…Many tropical cities are a part of these studies. Many valuable research articles found on LST-NDVI relationships in the Chinese landscape [59][60][61][62][63][64][65][66][67]. Some studies were also performed in Indian urban landscape [35,36,[68][69][70][71].These studies found that LST builds a negative relationship with NDVI and this negativity can change with season.…”

Section: Introductionmentioning

confidence: 99%

Land surface temperature and normalized difference vegetation index relationship: a seasonal study on a tropical city

Guha

Govil

2020

SN Appl. Sci.

Land surface temperature (LST) and its relationship with normalized difference vegetation index (NDVI) are significantly considered in environmental study. The aim of this study was to retrieve the LST of Raipur City of tropical India and to explore its seasonal relationships with NDVI. Landsat images of four specific seasons for three particular years with fourteen years time interval were analyzed. The result showed a gradual rising (3.63 °C during 1991-2004 and 1.54 °C during 2004-2018) of LST during the whole period of study. The mean LST value of three particular years was the lowest (27.21 °C) on green vegetation and the highest (29.81 °C) on bare land and built-up areas. The spatial distribution of NDVI and LST reflects an inverse relationship. The best (− 0.63) and the least (− 0.17) correlation were noticed in the postmonsoon and winter seasons, respectively, whereas a moderate (− 0.45) correlation were found both in the monsoon and pre-monsoon seasons. This LST-NDVI correlation was strong negative (− 0.51) on vegetation surface, moderate positive on water bodies (0.45), and weak positive on the built-up area and bare land (0.14). In summary, the LST is greatly controlled by surface characteristics. This study can be used as a reference for land use and environmental planning in a tropical city.