Modelling urban heat island (UHI) and thermal field variation and their relationship with land use indices over Delhi and Mumbai metro cities

Shahfahad, .; Talukdar, Swapan; Rihan, Mohd; Hang, Hoang Thi; Bhaskaran, Sunil

doi:10.1007/s10668-021-01587-7

Cited by 75 publications

(24 citation statements)

References 83 publications

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“…This increasing trend shows that large areas strongly influence the impervious cover on the average LST values. The results are coherent with a few other works available using a similar approach [15,[51][52][53][54]. On the contrary, the correlation between green-cover density and average LST decreases as the size of the grid increases and thus represents a weaker influence of greencover density in larger areas.…”

Section: Multi-resolution Lst Variation With Changing Lulcsupporting

confidence: 89%

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Effect of Land Surface Temperature on Urban Heat Island in Varanasi City, India

Kumar

Agarwal

Pal

et al. 2021

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Crucial changes in urban climate can be witnessed due to rapid urbanisation of cities across the world. It is important to find a balance between urban expansion and thermal environment quality to guarantee sustainable urban development. Thus, it is a major research priority to study the urban heat island (UHI) in various fields, i.e., climate change urban ecology, urban climatology, urban planning, mitigation and management, urban geography, etc. The present study highlighted the interrelationship between land surface temperature (LST) and the abundance of impervious cover and green cover in the Varanasi city of Uttar Pradesh, India. For this purpose, we used various GIS and remote-sensing techniques. Landsat 8 images, land-use–land-cover pattern including urban/rural gradients, and grid- and metric-based multi-resolution techniques were used for the analysis. From the study, it was noticed that LST, density of impervious cover, and density of green cover were correlated significantly, and an urban gradient existed over the entire city, depicting a typical UHI profile. It was also concluded that the orientation, randomness, and aggregation of impervious cover and green cover have a strong correlation with LST. From this study, it is recommended that, when planning urban extension, spatial variation of impervious cover and green cover are designed properly to ensure the comfort of all living beings as per the ecological point of view.

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Section: Multi-resolution Lst Variation With Changing Lulcsupporting

confidence: 89%

Section: Multi-resolution Lst Variation With Changing Lulcsupporting

confidence: 89%

Effect of Land Surface Temperature on Urban Heat Island in Varanasi City, India

Kumar

Agarwal

Pal

et al. 2021

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“…The study of vegetation as component of the urban system will allow controlling and modeling biophysical processes in the urban environment [Yu et al, 2004;Li et al, 2016]. The indices can be used in the design of urban green space development strategies to mitigate the effects of heat island [Shahfahad et al, 2022].…”

Section: Introductionmentioning

confidence: 99%

Evaluation and Correlation of Normalized Vegetation Index and Moisture Index in Kyiv (2017–2021)

Strashok¹,

Ziemiańska²,

Strashok³

2022

J. Ecol. Eng.

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For the last 20 years researchers have tried to create new approaches of managing urban ecosystem by using remote sensing methods. The authors estimated the normalized vegetation index (NDVI) and moisture index (NDMI) indices of Kyiv and propose an approach which can be used for estimation vegetation of other cities. The aim of the study was to assess the indicators of NDVI and NDMI in Kyiv for the last 5 years. The authors consider the NDVI index as an important ecostabilizing component of the urban ecosystem, as well as an indicator of the well-being citizens in a modern city. The study used space images of the Sentinel-2 satellite system with resolution of 10×10 m and 10×20 m. The images were decrypted using the Sentinel Hub platform which updates the database daily. The paper presents the results of correlation analysis using Statistica-6.0 software and demonstrate the close relationship (r = 0.73, r 2 = 0.55) between NDVI and NDMI. Thus, the statistical results of the study confirm a strong correlation between photosynthetic activity of plants and indicators of their water content by satellite imagery which allows using modern satellite technologies to assess the functional state of the urban vegetation. The changes in the length of active vegetative growth period were identified by NDVI and NDMI. The results of the research expand the directions of the methods of monitoring the condition of the urban vegetation cover in the aspect of applied landscape research.

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“…The LST obtained from thermal satellite datasets are reliable and repeatable measurements of the Earth's surface, allowing researchers to investigate the urban thermal environment at a variety of spatial, i.e., from local to global and as well as temporal scales, i.e., diurnal, seasonal, and inter-annual (AlQadhi et al, 2021;Bindajam et al, 2021;Shahfahad et al, 2021;Naikoo et al, 2022). Because the LST is sensitive to various land surface characteristics, it may be used to extract data on multiple LULC types (Sinha et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

“…Song et al (2020) examined the influence of building density on LST and discovered that low-and high-density built-up regions had varied LST, although being subject to the climatic conditions and soil composition. For instance, Shahfahad et al (2021) investigated the relationship between surface biophysical characteristics and LST in many cities from various climatic zones. They found coastal cities had a lesser link between LST and vegetation cover, but inland cities have a more significant association.…”

Section: Introductionmentioning

confidence: 99%

Assessing the Spatiotemporal Heterogeneity of Terrestrial Temperature as a Proxy to Microclimate and Its Relationship With Urban Hydro-Biophysical Parameters

Mallick

Alsubih²,

Ahmed³

et al. 2022

Front. Ecol. Evol.

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Rapid urban land use and land cover changes have become a major environmental issue because of their ecological effects, including loss of green space and urban heat islands. Effective monitoring and management techniques are required. The Saudi Arabian twin city of Abha-Khamis Mushyet was selected as a case study for this research. As a result, the current study aimed to statistically and spatially investigate the relationship between land surface temperature (LST) and land use land cover based urban biophysical parameters such as normalized difference built-up index (NDBI), normalized difference vegetation index (NDVI), and normalized difference water index (NDWI). This study used random forest (RF) to classify LULC in 1990, 2000, and 2018. We also validated the LULC maps in a novel way. Using mono window algorithm techniques, we extracted LST for three periods. The dynamics of LULC, LST, and biophysical parameters were investigated using standard statistical graphs such as the heat map and the Sankey diagram. The correlation coefficient and the global bivariate Moran’ I approach were used to determine the association between LST and urban biophysical parameters. The relationship was then established in greater detail by categorizing the entire pixel into percentile classes and employing parallel coordinate plots. Finally, the association was built using GeoDA software and a conditional map. The LULC maps revealed a 334.4 percent increase in urban areas between 1990 and 2018. The built-up region is the largest stable LULC, with an 83.6 percent transitional probability matrix between 1990 and 2018. While 17.9%, 21.8%, 12.4%, and 10.5% of agricultural land, scrubland, exposed rocks, and water bodies were converted to built-up areas, respectively. The LST has increased rapidly over time because of LULC changes. The link between LST and urban biophysical parameters revealed that NDBI had a positive relationship, whereas NDWI and NDVI had a negative relationship. As a result, this study could be very important because it could help decision makers figure out how to lessen the effects of urban heat islands because of changes in LULC.

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Modelling urban heat island (UHI) and thermal field variation and their relationship with land use indices over Delhi and Mumbai metro cities

Cited by 75 publications

References 83 publications

Effect of Land Surface Temperature on Urban Heat Island in Varanasi City, India

Effect of Land Surface Temperature on Urban Heat Island in Varanasi City, India

Evaluation and Correlation of Normalized Vegetation Index and Moisture Index in Kyiv (2017–2021)

Assessing the Spatiotemporal Heterogeneity of Terrestrial Temperature as a Proxy to Microclimate and Its Relationship With Urban Hydro-Biophysical Parameters

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