A case study on the relationship between land surface temperature and land surface indices in Raipur City, India

Guha, Subhanil; Govil, Himanshu; Dey, Anindita; Gill, Neetu

doi:10.1080/00167223.2020.1752272

Cited by 51 publications

(35 citation statements)

References 70 publications

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“…Generally, the vegetation-covered areas have the highest NDVI and EVI values. Areas with abundant vegetation cover display low LST values (Guha et al 2020). The trend of overall LST ranging from higher to lower for built-up areas, bare land and vegetation conforms with the findings of Ullah et al…”

Section: Land Cover Lst Ndvi and Evi Distributionssupporting

confidence: 89%

“…Generally, a strong inverse relationship was observed between the NDVI and LST and between EVI and LST. An inverse relationship between NDVI and LST was also noted in studies by Li et al (2010), Ferrelli et al (2018), Mukherjee and Singh (2020) and Guha et al (2020). The strongest positive correlations were observed between NDVI and EVI over the 35-year data span.…”

Section: Analysis Of Relationship Between Parameterssupporting

confidence: 63%

“…Traditionally, the NDVI is calculated using a combined operation between the Red band and Near-Infrared (NIR) band (Qiu et al 2018, Ferrelli et al 2018, Ullah et al 2019, Guha et al 2020 as follows:…”

Section: Ndvi and Evi Determinationsmentioning

confidence: 99%

“…Statistical analyses are commonly applied to establish relationships between parameters, for example, Land cover-LST (Dewan, Corner 2012), LST-NDVI (Ferrelli et al 2018, Hamoodi et al 2019, Malik et al 2019, Ullah et al 2019, Guha et al 2020, Mukherjee, Singh 2020, NDVI-EVI (Chen et al 2006b, Matsushita et al 2007, Li et al 2010, Uyeda et al 2017 and LST-EVI (Phompila et al 2015). In this study, an inventory of the parameters was created for the study area.…”

Section: Relationships Change Detection and Trend Analysismentioning

confidence: 99%

“…To explore the relationship between the parameters, descriptive statistics were computed using the Statistical Package for the Social Sciences (SPSS) software v20. In line with Guha et al (2020), the minimum, maximum, mean and standard deviations (SDs) of the parameters were generated. Pearson's correlation analysis was used to analyse the correlation between variables.…”

Section: Relationships Change Detection and Trend Analysismentioning

confidence: 99%

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Assessing the Relationship of LST, NDVI and EVI with Land Cover Changes in the Lagos Lagoon Environment

Alademomi

Okolie

Daramola

et al. 2020

Quaestiones Geographicae

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The Lagos Lagoon is under increased pressure from growth in human population, growing demands for natural resources, human activities, and socioeconomic factors. The degree of these activities and the impacts are directly proportional to urban expansion and growth. In the light of this situation, the objectives of this study were: (i) to estimate through satellite imagery analysis the extent of changes in the Lagos Lagoon environment for the periods 1984, 2002, 2013 and 2019 using Landsat-derived data on land cover, Land Surface Temperature (LST), Normalised Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI); and (ii) to evaluate the relationship between the derived data and determine their relative influence on the lagoon environment. The derived data were subjected to descriptive statistics, and relationships were explored using Pearson's correlation and regression analysis. The effect of land cover on LST was measured using the Contribution Index and a trend analysis was carried out. From the results, the mean LSTs for the four years were 22.68°C (1984), 24.34°C (2002), 26.46°C (2013) and 28.40°C (2019). Generally, the mean LSTs is in opposite trend with the mean NDVIs and EVIs as associated with their dominant land cover type. The strongest positive correlations were observed between NDVI and EVI while NDVI had the closest fit with LST in the regression. Built-up areas have the highest contributions to LST while vegetation had a cooling influence. The depletion in vegetative cover has compromised the biodiversity of this environment and efforts are required to reverse this trend.

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Section: Land Cover Lst Ndvi and Evi Distributionssupporting

confidence: 89%