An investigation into the relationship between remotely sensed land surface temperatures and heat stroke incident rates in the Tokyo Prefecture 2010–2019

Christopher, O'Malley; Kikumoto, Hideki

doi:10.1016/j.scs.2021.102988

Cited by 9 publications

(4 citation statements)

References 59 publications

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“…There are two frequent issues associated with remotely sensed datasets: cloudy pixels 50 and anomalous data 51 . To mitigate these, a 9‐year median diurnal LST image in June, July, and August from 2013 to 2021 was adopted.…”

Section: Methodsmentioning

confidence: 99%

“…49 There are two frequent issues associated with remotely sensed datasets: cloudy pixels 50 and anomalous data. 51 To mitigate these, a 9-year median diurnal LST image in June, July, and August from 2013 to 2021 was adopted. This image was then resampled to 100 m pixel resolution for combining with LCZ land classification data to determine LSTs of each LCZ.…”

Section: Land Surface Temperature (Lst)mentioning

confidence: 99%

“…These are then combined with LSTs to identify heat intensities of different urban configurations 24 . Moreover, the Moderate Resolution Imaging Spectroradiometer (MODIS) LST datasets have been widely utilized for such investigations 25 and are available in Japan. Therefore, making this a feasible method for urban heat investigations in the Tokyo Prefecture.…”

Section: Introductionmentioning

confidence: 99%

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An investigation into urban heat mitigation by adopting local climate zones and land surface temperatures in the Tokyo prefecture

O’Malley

Kikumoto

2022

Japan Architectural Review

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This study aimed to investigate urban forms susceptible to heightened heat intensities in the Tokyo Prefecture in Japan. Adopting Landsat 8 data at a pixel resolution of 100 m, local climate zones (LCZ) were identified. LCZs contain urban forms which are primarily defined by building compactness and height. Daytime spatial distribution of land surface temperatures (LST) was provided by MODIS 100 m resolution data from 2013 to 2021. Median LSTs for compact and super high‐rise, high‐rise, mid‐rise, and low‐rise LCZs were 34.4, 35.5, 37.3, and 38.1°C, respectively. Additionally, LSTs for open and super high‐rise, high‐rise, and mid‐rise LCZs were 37.4, 37.5, and 37.1°C, respectively. Therefore, this suggests lower‐rise and open LCZs are prone to increased urban heat intensities and higher‐rise and compact LCZs are an urban heat mitigation strategy. Open mid‐rise also offers heat reduction capabilities. Compact low‐rise and open mid‐rise spatial analysis also confirmed this trend with vegetation indices validating urban configuration as significantly influencing LSTs. Furthermore, due to LSTs constituting heat health risks, 11 municipalities comprised of predominantly compact low‐rise LCZs were identified as a priority for urban heat mitigation. Among these, Nakano, Nerima, and Suginami posed the greatest heat risks.

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Section: Methodsmentioning

confidence: 99%

Section: Land Surface Temperature (Lst)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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An investigation into urban heat mitigation by adopting local climate zones and land surface temperatures in the Tokyo prefecture

O’Malley

Kikumoto

2022

Japan Architectural Review

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“…Thus, the harmful effects of urban heatwaves on residential health is an area of concern. For example, heatstroke is a condition associated with long-term exposure to extreme weather [10]. Many people do not pay much attention when the temperature increases above their tolerance range; some symptoms such as coma and functional impairment occur, and the heat may have cause damage to health [11].…”

Section: Introductionmentioning

confidence: 99%

Spatial Analysis of Urban Residential Sensitivity to Heatwave Events: Case Studies in Five Megacities in China

et al. 2021

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Urban heatwaves increase residential health risks. Identifying urban residential sensitivity to heatwave risks is an important prerequisite for mitigating the risks through urban planning practices. This research proposes a new paradigm for urban residential sensitivity to heatwave risks based on social media Big Data, and describes empirical research in five megacities in China, namely, Beijing, Nanjing, Wuhan, Xi’an and Guangzhou, which explores the application of this paradigm to real-world environments. Specifically, a method to identify urban residential sensitive to heatwave risks was developed by using natural language processing (NLP) technology. Then, based on remote sensing images and Weibo data, from the perspective of the relationship between people (group perception) and the ground (meteorological temperature), the relationship between high temperature and crowd sensitivity in geographic space was studied. Spatial patterns of the residential sensitivity to heatwaves over the study area were characterized at fine scales, using the information extracted from remote sensing information, spatial analysis, and time series analysis. The results showed that the observed residential sensitivity to urban heatwave events (HWEs), extracted from Weibo data (Chinese Twitter), best matched the temporal trends of HWEs in geographic space. At the same time, the spatial distribution of observed residential sensitivity to HWEs in the cities had similar characteristics, with low sensitivity in the urban center but higher sensitivity in the countryside. This research illustrates the benefits of applying multi-source Big Data and intelligent analysis technologies to the understand of impacts of heatwave events on residential life, and provide decision-making data for urban planning and management.

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An integrated approach for analysing land surface temperature, heatwave and air pollution for sustainable planning in Delhi and its environs, India

Singh,

Venkatramanan,

Deshmukh

2024

Environ Dev Sustain

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An investigation into the relationship between remotely sensed land surface temperatures and heat stroke incident rates in the Tokyo Prefecture 2010–2019

Cited by 9 publications

References 59 publications

An investigation into urban heat mitigation by adopting local climate zones and land surface temperatures in the Tokyo prefecture

An investigation into urban heat mitigation by adopting local climate zones and land surface temperatures in the Tokyo prefecture

Spatial Analysis of Urban Residential Sensitivity to Heatwave Events: Case Studies in Five Megacities in China

An integrated approach for analysing land surface temperature, heatwave and air pollution for sustainable planning in Delhi and its environs, India

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