Unriddle the complex associations among urban green cover, built-up index, and surface temperature using geospatial approach: a micro-level study of Kolkata Municipal Corporation for sustainable city

Ali, Md Babor; Jamal, Saleha; Ahmad, Manal; Saqib, Mohd

doi:10.1007/s00704-024-04873-2

Cited by 6 publications

(1 citation statement)

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“…As a result of this change, there is less greenery and a rise in surface temperatures. Via NDVI, NDBI, and LST studies, this study shows strong relationships and patterns, highlighting the necessity for urban planners, environmentalists, and ecologists to give this issue their full attention [55]. The regulatory amplitudes for the NDBI and albedo were highest because the marginal effect values had the biggest range.…”

Section: Geo-spatial Indicesmentioning

confidence: 77%

Spatio-Temporal Variation in Landforms and Surface Urban Heat Island in Riverine Megacity

Gorai,

Bandyopadhyay,

Halder

et al. 2024

Sustainability

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Rapid urbanization and changing climatic procedures can activate the present surface urban heat island (SUHI) effect. An SUHI was considered by temperature alterations among urban and rural surroundings. The urban zones were frequently warmer than the rural regions because of population pressure, urbanization, vegetation insufficiency, industrialization, and transportation systems. This investigation analyses the Surface-UHI (SUHI) influence in Kolkata Municipal Corporation (KMC), India. Growing land surface temperature (LST) may cause an SUHI and impact ecological conditions in urban regions. The urban thermal field variation index (UTFVI) served as a qualitative and quantitative barrier to the SUHI susceptibility. The maximum likelihood approach was used in conjunction with supervised classification techniques to identify variations in land use and land cover (LULC) over a chosen year. The outcomes designated a reduction of around 1354.86 Ha, 653.31 Ha, 2286.9 Ha, and 434.16 Ha for vegetation, bare land, grassland, and water bodies, correspondingly. Temporarily, from the years 1991–2021, the built-up area increased by 4729.23 Ha. The highest LST increased by around 7.72 °C, while the lowest LST increased by around 5.81 °C from 1991 to 2021. The vegetation index and LST showed a negative link, according to the correlation analyses; however, the built-up index showed an experimentally measured positive correlation. This inquiry will compel the administration, urban planners, and stakeholders to observe humanistic activities and thus confirm sustainable urban expansion.

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Section: Geo-spatial Indicesmentioning

confidence: 77%