The role of blue green infrastructure in the urban thermal environment across seasons and local climate zones in East Africa

Li, Xueqin; Stringer, Lindsay C.; Dallimer, Martin

doi:10.1016/j.scs.2022.103798

Cited by 53 publications

(20 citation statements)

References 73 publications

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“…The satellites and sensors highlighted as "others" are those that had only one occurrence in the reviewed articles, such as Worldview 3 used in [23], Meteosat Seviri in [23], Sentinel 1 A-B Multispectral Instrument (MSI) operated by [25], PROBA-V: Copernicus Global Land Cover Layers (CGLS-LC) 100 in [26], ECOSTRESS used in [27], Copernicus Global Cover maps (C-GLOPS) also in [27], NECP-GR data by [28], Gaofen-1 in [29] and Visible Infrared Imaging Radiometer Suite (VIIRS) by [30].…”

Section: Analysis Of Satellites and Sensorsmentioning

confidence: 99%

“…Regarding the methods to obtain LST, the Split Window and Single-Channel Algorithm were the most used, reaching more than 26% each. For the SUHI calculation, more than half of the ECOSTRESS land surface temperature data Exploring the relationship between urban form and land surface temperature (LST) in a semi-arid region case study of Ben Guerir city -Morocco 2021 [35] LCZ scheme for assessing Urban Heat Island intensity in a complex urban area (Beirut, Lebanon) 2021 [65] Local climate zones and thermal characteristics in Riyadh City, Saudi Arabia 2021 [66] Local climate zones mapping using object-based image analysis and validation of its effectiveness through urban surface temperature analysis in China 2021 [28] Seasonal The role of blue green infrastructure in the urban thermal environment across seasons and local climate zones in East Africa 2022 [26] Using Local Climate Zones to investigate Spatio-temporal evolution of thermal environment at the urban regional level: A case study in Xi'an, China 2022 [32]…”

Section: Final Considerationsmentioning

confidence: 99%

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Local Climate Zones to Identify Urban Surface Heat Islands: a Systematic Review

Fernandes¹,

Nascimento²,

Freitas³

et al. 2022

Preprint

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The Land Surface Temperature (LST) is an essential indicator for analyzing the Surface Urban Heat Island (SUHI). A factor contributing to its occurrence is the reflections of the different materials in urban and rural areas, which significantly affect the energy balance near the surface. Therefore, recent studies have increasingly used the Local Climate Zones (LCZ) classification system to discriminate those urban areas. Therefore, our study aims to do a systematic review using the PRISMA method of LCZ classification applied to understand the LST and the SUHI phenomenon. At first, it was found in the scientific literature 10,403 articles which, after passing through filtering stages, resulted in 51 that were further analyzed. Our results showed that these articles were very recent, beginning in 2016. However, presenting an increasing trend. China was the country with more studies. Landsat and TERRA/AQUA sensors appeared in 82% of the studies. The method that appears the most to LCZ definitions is from the World Urban Database. Finally, considering the current climatic changes, this systematic review can help new studies on SUHI identification through LCZ in different world areas using remote sensing data to estimate the LST.

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Section: Analysis Of Satellites and Sensorsmentioning

confidence: 99%

Section: Final Considerationsmentioning

confidence: 99%

Local Climate Zones to Identify Urban Surface Heat Islands: a Systematic Review

Fernandes¹,

Nascimento²,

Freitas³

et al. 2022

Preprint

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“…Monitoring the thermal environment of buildings is critical for assessing the performance of existing structures and identifying cost-effective energy-saving solutions (Zhang and Li, 2020;Aguilar et al, 2022). Therefore, a lot of research has been conducted on monitoring the thermal environment impact on outdoor and indoor scenarios (Han et al, 2022;Li et al, 2022). For instance, Maroy et al (2017) investigate the use of infrared thermography (IRT) to estimate the thermal performance of insulating glass units (IGUs) in Belgium.…”

Section: Introductionmentioning

confidence: 99%

Toward sustainable cities: Monitoring thermal environment for buildings and pedestrian space using drone-captured 3D thermal imaging

Alkaabi

Senghore

Fawair

2023

Front. Built Environ.

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UAE's average temperature has risen in recent years and is expected to rise more in the next 40 years, creating a massive heat island agglomeration. Therefore, the demand for energy saving and diversified personal thermal management requires innovative solutions combining advanced building materials and structural designs to provide personal thermal comfort during indoor and outdoor activities. However, due to the complexities of structural designs and their associated materials, analytical and numerical strategies are for revealing real-world scenarios are limited. Therefore, full-scale experiments are required for exploring and demonstrating dynamic scenarios under thermal stress. This study aimed to explore the feasibility of using drone along with various thermal image analysis software that enables thermal photogrammetric mapping for monitoring and classification of heat rates based on building components surveyed across the UAEU campus. Thermal aerial images were collected in March 2022 and analyzed using SPSS, Agisoft Metashape Professional, DJI Thermal Tool, and FLIR for two buildings, A and B, and pedestrian spaces across UAEU's main campus in shaded, unshaded, and green zones. Noramilty and Kruskal-Wallis H tests were applied to examine if there was a statistically significant variation in surface temperatures. The pedestrian space thermal analysis showed that the natural shaded grass surface has the most tolerable heat environment (mean rank = 7.6), while the unshaded sand surface has the most unfriendly thermal environment (mean rank = 52.0), with an 18°C difference in mean surface temperature. The study also revealed the temperature evolution process and its dependence on building materials and structural designs, providing first-hand research data based on building components for the UAE climate, setting the path for future research in the era of sustainability and urban development.

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“…Several authors have studied SUHI detection with different approaches at spatial, temporal, and spectral scales or tested which satellite sensor is most appropriate [16][17][18][19][20]. However, most of these studies focus only on a single locality where the definition of the urban and rural areas is tailored for each case study, making difficult comparisons between localities in different parts of the world.…”

Section: Introductionmentioning

confidence: 99%

Assessment of Urban Heat Island in the Northeastern State Capitals in Brazil Using Sentinel Satellite Data – 3 SLSTR

Fernandes¹,

Ferreira²,

Nascimento³

et al. 2023

Preprint

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The Surface Urban Heat Island (UHI) is caused by the difference in temperature between the urban and its surrounding areas. However, in the scientific literature, there is no solid methodology defining urban and non-urban areas, which is essential to estimate the SUHI with greater accuracy. This study uses the official national urban areas limit, to obtain the SUHI more accurately on the nine northeastern Brazilian capitals. The land surface temperature was obtained using the Sentinel 3 satellite data for the years 2019 and 2020. Afterward, the maximum and average SUHI, and the complementary indexes were calculated, such as the Urban Thermal Field Variation Index (UTFVI) and the Thermal Discomfort Index (TDI) for the urban areas and their surrounding areas. The Maximum and Average SUHI, obtained values between 1.85 and 8.25 and -4.92 and 2.59 degree difference, respectively, proving the SUHI existence in the study areas. The UTFVI, with values between 0.010 and 0.040, expresses how bad the eco-environmental spaces of urban are. The TDI, with values between 24.61 and 28.89 ºC, expresses the population’s thermal comfort. Therefore, this study provides a better understanding of the surface UHI pioneeringly for the Brazilian Northeast Region.

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The role of blue green infrastructure in the urban thermal environment across seasons and local climate zones in East Africa

Cited by 53 publications

References 73 publications

Local Climate Zones to Identify Urban Surface Heat Islands: a Systematic Review

Local Climate Zones to Identify Urban Surface Heat Islands: a Systematic Review

Toward sustainable cities: Monitoring thermal environment for buildings and pedestrian space using drone-captured 3D thermal imaging

Assessment of Urban Heat Island in the Northeastern State Capitals in Brazil Using Sentinel Satellite Data – 3 SLSTR

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