Application of split- window algorithm to study Urban Heat Island effect in Mumbai through land surface temperature approach

Dwivedi, Aparna; Khire, M. V.

doi:10.1016/j.scs.2018.02.030

Cited by 52 publications

(15 citation statements)

References 24 publications

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“…Land surface temperature (LST) has been widely used to describe the cooling effect of green spaces on Urban Heat Islands [ 16 , 25 , 55 ]. When using LST data rather than air temperature to study the cooling effect of parks, the intensity of cold islands is often overestimated because LST responds to direct solar radiation reaching the land surface [ 16 ].…”

Section: Discussionmentioning

confidence: 99%

“…It avoids inconsistency in data collection processes, sensor types, and other meteorological factors [ 17 ]. In recent years, the rapid development of thermal infrared remote sensing technique has greatly promoted the diversification of remote sensing inversion methods for obtaining LST, such as Linear spectral mixture analysis (LSMA) model [ 18 , 19 ], single channel algorithm [ 20 ], atmospheric correction or radiative transfer method [ 21 , 22 , 23 ] and split-window algorithm [ 24 , 25 ]. In recent years, passive microwave (PMW) satellites have developed rapidly because of their ability to penetrate clouds, although PWM data suffer from lower spatial resolution and LST retrieval accuracy compared with thermal infrared data [ 26 ].…”

Section: Introductionmentioning

confidence: 99%

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The Mitigation Effect of Park Landscape on Thermal Environment in Shanghai City Based on Remote Sensing Retrieval Method

Min

et al. 2022

IJERPH

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The mitigation effects of park green space on Urban Heat Island (UHI) have been extensively documented. However, the relative effects of the configuration of park components on land surface temperature (LST) inside the park and indicators (i.e., park cooling intensity and distance) surrounding the park is largely unknown. Therefore, the main objective of this study is to explore the quantitative impacts of configuration and morphology features under different urban park scales on the cooling effect. In this study, based on Landsat-8 OLI/TIRS images on 3 August 2015 and 16 August 2020 during summer daytime, the LSTs of Shanghai City were retrieved by atmospheric correction method. Then, the relationships of park landscape features with LSTs in the park and typical indicators representing cooling efficiency of 24 parks on different grades were analyzed. The results showed that the average temperature in urban parks was, respectively, 1.46 °C and 1.66 °C lower than that in the main city of Shanghai in 2015 and 2020, suggesting that urban parks form cold islands in the city. The landscape metrics of park area (PA), park perimeter (PP), green area (GA) and water area (WA), were key characteristics that strong negatively affect the internal park LSTs. However, the park perimeter-to-area ratio (PPAR) had a significant positive power correlation with the park LSTs. Buffer zone analysis showed that LST cools down by about 0.67 °C when the distance from the park increases by 100 m. The Maximum Cooling Distance (MCD) for 2015 and 2020 had a significant correlation with PA, PC, PPAR, GA and WA, and increased sharply within the park area of 20 ha. However, the medium park group had the largest Maximum Cooling Intensity (MCI) in both periods, followed by the small park group. There could be a trade-off relationship between the MCD and MCI in urban parks, which is worth pondering to research. This study could be of great significance for planning and constructing park landscapes, alleviating Urban Heat Island effect and improving urban livability.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The Mitigation Effect of Park Landscape on Thermal Environment in Shanghai City Based on Remote Sensing Retrieval Method

Min

et al. 2022

IJERPH

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“…Based on the summary of case studies of intelligent traffic management systems in different countries and regions (Table 2), classification and summary are made according to the following three categories of management systems: traffic control system, traffic positioning detection system and traffic management system (Demanuele et al, 2012;Dwivedi & Khire, 2018;Yokota et al, 2004).…”

Section: Practice Overview Of the Research Objectmentioning

confidence: 99%

Research on Urban Congestion Control Strategy Based on Smart Traffic Management System

2022

jhsss

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With the rapid economic development, the scale of cities has expanded, the population of cities has increased, the number of motor vehicles has increased, the contradiction between traffic supply and traffic demand has increased, and traffic congestion has appeared in major cities. Many countries have proposed planning and construction measures and policies in the current smart transportation development and construction. The construction of smart transportation requires a complete management system for planning. The article selects smart transportation in some countries and regions to conduct inductive analysis in the smart transportation management system construction measures and put forward suggestions for my country's smart transportation construction to effectively alleviate urban congestion.

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“…According to Sharma et al (2019), frequency of heat waves for urban areas in Delhi is expected to increase from 0.8 times each summer season in current time frame to 2.1 and 5.1 times in short-and long-term projections. In the past few years researchers have focused on understanding the change in land surface temperature (LST) and factors influencing urban areas such as in Delhi (Mohan et al, 2012;Yadav and Sharma, 2018), Ahmedabad (Mathew et al, 2018), Bengaluru (Sussman et al, 2019), Jaipur (Mathew et al, 2018), Chennai (Swamy et al, 2017), Kochi (Thomas et al, 2014), Lucknow (Singh et al, 2017) and Mumbai (Dwivedi and Khire, 2018;Dwivedi et al, 2019).…”

Section: Urban Heat Island Exposure In Urban Areasmentioning

confidence: 99%

Nature-Based Solutions for Co-mitigation of Air Pollution and Urban Heat in Indian Cities

Menon

Sharma

2021

Front. Sustain. Cities

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The urban population is subjected to multiple exposures of air pollution and heat stress and bear severe impacts on their health and well-being in terms of premature deaths and morbidity. India tops the list of countries with the highest air pollution exposure and hosts some of the most polluted cities in the world. Similarly, Indian cities are highly vulnerable to extreme heat with the frequency of heatwaves expected to increase several-fold in urban areas in India. It is reported that mitigating air pollution could reduce the rural-urban difference of the incoming radiation thus resulting in mitigation of the urban heat island effect. Since the interaction between urban heat and air pollution is dynamic and complex, both these factors should be considered by the urban authorities in designing mitigation strategies. Given the multi-functional nature and cost-effectiveness of Nature-Based Solutions (NbS), they appear to be the most appropriate remedy for environmental issues of urban areas, particularly in developing countries. In addition to improving public health (through the reduction in air pollution and urban heat), NbS also provides a wide range of co-benefits such as reducing energy cost and health costs as well as conservation of biodiversity. This review is an attempt to understand the potentials of NbS in co-mitigating air pollution and urban heat in Indian cities. A framework for the planning and design of NbS in Indian cities is also proposed based on the review that could help city planners and decision-makers in addressing these two issues in an integrated manner.

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Application of split- window algorithm to study Urban Heat Island effect in Mumbai through land surface temperature approach

Cited by 52 publications

References 24 publications

The Mitigation Effect of Park Landscape on Thermal Environment in Shanghai City Based on Remote Sensing Retrieval Method

The Mitigation Effect of Park Landscape on Thermal Environment in Shanghai City Based on Remote Sensing Retrieval Method

Research on Urban Congestion Control Strategy Based on Smart Traffic Management System

Nature-Based Solutions for Co-mitigation of Air Pollution and Urban Heat in Indian Cities

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