Study of the Urban Heat Island (UHI) Using Remote Sensing Data/Techniques: A Systematic Review

Environments, Journal Year: 2021, Volume and Issue: 8(10), P. 105 - 105

Published: Oct. 9, 2021

Urban Heat Islands (UHI) consist of the occurrence higher temperatures in urbanized areas when compared to rural areas. During warmer seasons, this effect can lead thermal discomfort, energy consumption, and aggravated pollution effects. The application Remote Sensing (RS) data/techniques using sensors onboard satellites, drones, or aircraft, allow for estimation Land Surface Temperature (LST). This article presents a systematic review publications Scopus Web Science (WOS) on UHI analysis RS LST, from 2000 2020. selection articles considered keywords, title, abstract, deemed necessary, full text. process was conducted by two independent researchers 579 articles, published English, were selected. Qualitative quantitative analyses performed. Cfa climate are most represented, as Northern Hemisphere concentrates studied areas, especially Asia (69.94%); Landsat products applied estimates LST (68.39%) LULC (55.96%); ArcGIS (30.74%) used software data treatment, correlation (38.69%) statistic technique. There is an increasing number publications, 2016, transversality studies corroborates relevance topic.

Language: Английский

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Impact of Land Cover Changes on Land Surface Temperature and Human Thermal Comfort in Dhaka City of Bangladesh

Earth Systems and Environment, Journal Year: 2021, Volume and Issue: 5(3), P. 667 - 693

Published: July 7, 2021

Abstract Urbanization leads to the construction of various urban infrastructures in city area for residency, transportation, industry, and other purposes, which causes major land use change. Consequently, it substantially affects Land Surface Temperature (LST) by unbalancing surface energy budget. Higher LST areas decreases human thermal comfort dwellers environment ecosystem. Therefore, a comprehensive investigation is needed evaluate impact change on LST. Remote Sensing (RS) Geographic Information System (GIS) techniques were used detailed investigation. RS data years 1993, 2007 2020 during summer (March–May) Dhaka prepare cover maps, analyze LST, generate hazard maps relate with using GIS. The results show that built-up increased 67% from 1993 replacing lowland mainly, followed vegetation, bare soil water bodies. LSTs found study ranged 23.26 39.94 °C, 23.69 43.35 °C 24.44 44.58 2020, respectively. increases spatially distributed maximum mean 4.62 6.43 respectively, period 27 while minimum was not substantial. around 0.24 per year discomfort shifted moderate strong heat stress total due increase lands. This also shows normalized difference vegetation index (NDVI) (NDWI) negatively correlated Index (NDBI) (NDBAI) positively methodology developed this can be adapted cities globe.

Language: Английский

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Assessing and predicting land use/land cover, land surface temperature and urban thermal field variance index using Landsat imagery for Dhaka Metropolitan area

Environmental Challenges, Journal Year: 2021, Volume and Issue: 4, P. 100192 - 100192

Published: June 26, 2021

Climate change is occurring because of an increase in greenhouse gases such as carbon dioxide, methane, and others, which act a partial blanket for the planet store solar energy radiation, resulting land surface temperature (LST). Cities that are already suffering from urban heat island (UHI) effect , will withstand worst these more extreme events. The extent impermeable layer changes LST inextricably linked to severity commencement UHI events, can be measured using thermal field variance index (UTFVI). Land use/Land cover (LULC) was assessed support vector machine (SVM) supervised classification, seasonal (summer winter) LST, UTFVI variations Landsat 4–5 TM 8 OLI satellite images years 2000, 2010, 2020. Furthermore, Dhaka, Bangladesh, cellular automata-based artificial neural network (CA-ANN) algorithm utilized forecast LULC, 2030. From 2000 2020, results demonstrated large net areas (+20.52%), whereas vegetation, bare land, water bodies were all decreased with -5.72%, -11.19%, -3.6%, respectively. According projected LSTs, summer winter temperatures 2020 2030 13% 20%, respectively, highest group (greater than 35 °C). showed 2030, roughly 72% (up 58% 2020) 69% 47 percent% total area covered by stronger strongest zones. Correlation analysis statistically significant (p value < 0.05), relationship between NDBI strong positive, but strongly negative NDVI. accuracy examination maps revealed high degree estimating, kappa values 80%. By giving insights on settings promoting city competency, study broaden perspectives planners policymakers.

Language: Английский

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Modeling the Surface Urban Heat Island (SUHI) to study of its relationship with variations in the thermal field and with the indices of land use in the metropolitan area of Granada (Spain)

Sustainable Cities and Society, Journal Year: 2022, Volume and Issue: 87, P. 104166 - 104166

Published: Sept. 6, 2022

Understanding just how the increase in Earth's Surface Temperature (LST) is related to alterations of urban climate —Surface Urban Heat Island (SUHI) or Hotspots (UHS)— and with deterioration cities´ environmental quality has become a great challenge. Societies worldwide seek actions that might break these trends improve life local inhabitants. In this research, help Landsat 5, 7 8 satellite images, evolution land use/cover (LULC), LST SUHI were studied over long period, from 1985 2020, metropolitan area city Granada (Spain). The aim was evaluate variables, together Index (UI), Normalized Difference Built-up (NDBI), Vegetation (NDVI) Proportion (PV), have influenced variability UHS level thermal comfort according Thermal Field Variance (UTFVI). Reported as results, corroborated by statistical analysis, are mean increases (2.2°C), (0.6°C), (20.4%), class 6 UTFV (26.2%). NDBI UI associated high variations LULCs. These suffered built-up bare soil coverage, decreases water bodies, vegetation farmland coverage.

Language: Английский

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Study of Urban Heat Island Effect in Hangzhou Metropolitan Area Based on SW-TES Algorithm and Image Dichotomous Model

SAGE Open, Journal Year: 2023, Volume and Issue: 13(4)

Published: Oct. 1, 2023

In recent years, with economic development, urbanization has been accelerating. the past 100 global average temperature increased by 0.5°C, and according to predictions of most climate models, will continue increase 1.5°C 3.0°C in next years. Under influence warming, urban heat island effect problem is becoming more serious, bringing much harm. Studying thermal its influencing factors great significance for sustainable development. this study, seasonal interannual surface changes study area are inverted based on SW-TES algorithm, LST inversion algorithm simply verified. At same time, a cell dichotomous model was established explore different land use types normalized vegetation indices Hangzhou metropolitan analyzed. The results showed that overall heating trend trend, expansion rate regional construction relatively fast, scale increasing. Based areas types, we obtained trends each type [from 2005 2018] found there negative correlation between index. This provides theoretical basis evaluate analyze impact it would promote

Language: Английский

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Assessment of urbanisation and urban heat island intensities using landsat imageries during 2000 – 2018 over a sub-tropical Indian City

Sustainable Cities and Society, Journal Year: 2019, Volume and Issue: 52, P. 101846 - 101846

Published: Sept. 16, 2019

Language: Английский

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Understanding the Links between LULC Changes and SUHI in Cities: Insights from Two-Decadal Studies (2001–2020)

Remote Sensing, Journal Year: 2021, Volume and Issue: 13(18), P. 3654 - 3654

Published: Sept. 13, 2021

An urban heat island (UHI) is a serious phenomenon associated with built environments and presents threats to human health. It projected that UHI intensity will rise record levels in the following decades due rapid expansion, as two-thirds of world population expected live areas by 2050. Nevertheless, last two have seen considerable increase number studies on surface (SUHI)—a form quantified based land temperature (LST) derived from satellite imagery—and its relationship use/cover (LULC) changes. This surge has been facilitated availability freely accessible five-decade archived remotely sensed data, use state-of-art analysis methods, advancements computing capabilities. The authors this systematic review aimed summarize, compare, critically analyze multiple case studies—carried out 2001 2020—in terms various aspects: study area characteristics, data sources, methods for LULC classification SUHI quantification, mechanisms interaction coupled linking techniques between spatial temporal changes, proposed alleviation actions. could support decision-makers pave way scholars conduct future research, especially vulnerable cities not well studied.

Language: Английский

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Analyzing spatial relationship between land use/land cover (LULC) and land surface temperature (LST) of three urban agglomerations (UAs) of Eastern India

Remote Sensing Applications Society and Environment, Journal Year: 2021, Volume and Issue: 22, P. 100507 - 100507

Published: April 1, 2021

Language: Английский

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Investigating the Impact of Land Use/Land Cover Change on Present and Future Land Surface Temperature (LST) of Chittagong, Bangladesh

Earth Systems and Environment, Journal Year: 2022, Volume and Issue: 6(1), P. 221 - 235

Published: Jan. 1, 2022

Language: Английский

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Space–time analysis of the earth's surface temperature, surface urban heat island and urban hotspot: relationships with variation of the thermal field in Andalusia (Spain)

Urban Ecosystems, Journal Year: 2023, Volume and Issue: 26(2), P. 525 - 546

Published: Jan. 20, 2023

Abstract Understanding just how the increase in Earth's Surface Temperature (LST) is related to alterations of urban climate —Surface Urban Heat Island (SUHI) or Hotspots (UHS)— and with deterioration cities´ environmental quality has become a great challenge. Societies worldwide seek actions that might break these trends improve life local inhabitants face change. In this research, help Sentinel 3 satellite images (day night), space–time variability LST SUHI over metropolitan areas capitals Andalusia (Spain) during year 2021 was studied evaluate variables, together Land Use/Land Cover (LULC), may have influenced UHS level thermal comfort according Thermal Field Variance Index (UTFVI). As results, an important spatial LST, SUHI, UHS, different classes UTFVI reported. The diurnal are found mainly rural without vegetation, whereas night distributed impervious surfaces.

Language: Английский

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