MONITORING THERMAL POLLUTION SOURCES IN VORONEZH (RUSSIA) USING REMOTE SENSING DATA

Рассмотрены вопросы мониторинга теплового загрязнения окружающей среды в городах. Представлена методика отбора спектрозональных спутниковых снимков, их обработки и интерпретации полученных результатов. Для оценки городского острова тепла были использованы снимки с космического аппарата Landsat 8 TIRS. На их основе построены карты пространственной структуры острова тепла города Воронежа за летний и зимний периоды. Определены тепловые аномалии и выявлено 11 основных техногенных источников теплового загрязнения в г. Воронеже, установлена их принадлежность к промышленным зонам предприятий, а также к очистным гидротехническим сооружениям. Поверхностные температуры данных источников в среднем были выше фоновых температур приблизительно на 6° зимой и на 15,5° С летом. Синхронно со спутниковой съемкой были проведены наземные контрольные тепловизионные измерения температур основных подстилающих поверхностей в г. Воронеже. Полученные данные показали высокую сходимость космических и наземных измерений, на основании чего сделан вывод о надежности используемых данных дистанционного зондирования Земли в мониторинговых наблюдениях теплового загрязнения городской среды. Результаты работ могут найти применение в городском планировании и медицинской экологии. The study deals with the remote sensing and monitoring of urban heat islands. We present a methodology of multispectral satellite imagery selection and processing. The study bases on the freely available Landsat 8 TIRS data. We used multitemporal thermal band combinations to make maps of the urban heat island of Voronezh (Russia) during summer and winter periods. That let us identify 11 artificial sources of heat in Voronezh. All of them turned out to be allocated within industrial zones of plants and water treatment facilities. Land surface temperatures (LST) of these sources were approximately 6° and 15.5° C above the background temperatures in winter and summer, respectively. To prove the remotely sensed temperatures we conducted ground control measurements of LST of different surface types at the satellite revisit moments. Our results showed a significant correlation between the satellite and ground-based measurements, so the maps we produced in this study should be robust. They are of use in urban planning and medical ecology studies.

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

Environments ◽

10.3390/environments8100105 ◽

2021 ◽

Vol 8 (10) ◽

pp. 105

Author(s):

Cátia Rodrigues de Almeida ◽

Ana Cláudia Teodoro ◽

Artur Gonçalves

Keyword(s):

Remote Sensing ◽

Systematic Review ◽

Rural Areas ◽

Land Surface ◽

Remote Sensing Data ◽

Urban Heat Islands ◽

Pollution Effects ◽

Heat Islands ◽

Urban Heat ◽

Number Of Publications

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

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Urban Heat Islands and Remote Sensing: Characterizing Land Surface Temperature at the Neighborhood Scale

IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss39084.2020.9324473 ◽

2020 ◽

Author(s):

Anna Liebowitz ◽

Elizabeth Sebastian ◽

Claudia Yanos ◽

Matthew Bilik ◽

Reginald Blake ◽

...

Keyword(s):

Remote Sensing ◽

Surface Temperature ◽

Land Surface Temperature ◽

Land Surface ◽

Urban Heat Islands ◽

Heat Islands ◽

Urban Heat ◽

Neighborhood Scale

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GEOSPATIAL ASSESSMENT AND MODELING OF URBAN HEAT ISLANDS IN QUEZON CITY, PHILIPPINES USING OLS AND GEOGRAPHICALLY WEIGHTED REGRESSION

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ◽

10.5194/isprs-archives-xlii-4-w16-85-2019 ◽

2019 ◽

Vol XLII-4/W16 ◽

pp. 85-92

Author(s):

C. A. Alcantara ◽

J. D. Escoto ◽

A. C. Blanco ◽

A. B. Baloloy ◽

J. A. Santos ◽

...

Keyword(s):

Geographically Weighted Regression ◽

Land Surface ◽

Google Earth ◽

Urban Heat Islands ◽

Weighted Regression ◽

View Factor ◽

Landsat 8 ◽

Quezon City ◽

Heat Islands ◽

Urban Heat

Abstract. Urbanization has played an important part in the development of the society, yet it is accompanied by environmental concerns including the increase of local temperature compared to its immediate surroundings. The latter is known as Urban Heat Islands (UHI). This research aims to model UHI in Quezon City based on Land Surface Temperature (LST) estimated from Landsat 8 data. Geospatial processing and analyses were performed using Google Earth Engine, ArcGIS, GeoDa, and SAGA GIS. Based on Urban Thermal Field Variance Index (UTFVI) and the normalized mean per barangay (village), areas with strong UHI intensities were mapped and characterized. high intensity UHIs are observed mostly in areas with high Normalized Difference Built-up Index (NDBI) like the residential regions while the weak intensity UHIs are noticed in areas with high Normalized Difference Vegetation Index (NDVI) near the La Mesa Reservoir. In the OLS regression model, around 69% of LST variability is explained by Surface Albedo (SA), Sky View Factor (SVF), Surface Area to Volume Ratio (SVR), Solar Radiation (SR), NDBI and NDVI. OLS yield relatively high residuals (RMSE = 1.67) and the residuals are not normally distributed. Since LST is non-stationary, Geographically Weighted Regression (GWR) regression was conducted, proving normally and randomly distributed residuals (average RMSE = 0.26).

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The temporal dynamics of urban heat islands derived from thermal remote sensing data by local indicator of spatial association in Shenzhen, China

10.1117/12.887394 ◽

2011 ◽

Author(s):

Miaomiao Xie ◽

Meichen Fu

Keyword(s):

Remote Sensing ◽

Temporal Dynamics ◽

Spatial Association ◽

Remote Sensing Data ◽

Urban Heat Islands ◽

Thermal Remote Sensing ◽

Heat Islands ◽

Sensing Data ◽

Urban Heat

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Spatial Distribution of Land Surface Temperatures in Kuwait: Urban Heat and Cool Islands

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph17092993 ◽

2020 ◽

Vol 17 (9) ◽

pp. 2993 ◽

Cited By ~ 2

Author(s):

Barrak Alahmad ◽

Linda Powers Tomasso ◽

Ali Al-Hemoud ◽

Peter James ◽

Petros Koutrakis

Keyword(s):

Spatial Distribution ◽

Temperature Difference ◽

Land Surface ◽

Urban Heat Islands ◽

Heat Islands ◽

Surface Temperatures ◽

Land Surface Temperatures ◽

Urban Heat ◽

Moderate Resolution Imaging Spectroradiometer ◽

Arid Desert

The global rise of urbanization has led to the formation of surface urban heat islands and surface urban cool islands. Urban heat islands have been shown to increase thermal discomfort, which increases heat stress and heat-related diseases. In Kuwait, a hyper-arid desert climate, most of the population lives in urban and suburban areas. In this study, we characterized the spatial distribution of land surface temperatures and investigated the presence of urban heat and cool effects in Kuwait. We used historical Moderate-Resolution Imaging Spectroradiometer (MODIS) Terra satellite 8-day composite land surface temperature (LST) from 2001 to 2017. We calculated the average LSTs of the urban/suburban governorates and compared them to the average LSTs of the rural and barren lands. We repeated the analysis for daytime and nighttime LST. During the day, the temperature difference (urban/suburban minus versus governorates) was −1.1 °C (95% CI; −1.2, −1.00, p < 0.001) indicating a daytime urban cool island. At night, the temperature difference (urban/suburban versus rural governorates) became 3.6 °C (95% CI; 3.5, 3.7, p < 0.001) indicating a nighttime urban heat island. In light of rising temperatures in Kuwait, this work can inform climate change adaptation efforts in the country including urban planning policies, but also has the potential to improve temperature exposure assessment for future population health studies.

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Assessing the Effects of Land-Use Types in Surface Urban Heat Islands for Developing Comfortable Living in Hanoi City

Remote Sensing ◽

10.3390/rs10121965 ◽

2018 ◽

Vol 10 (12) ◽

pp. 1965 ◽

Cited By ~ 15

Author(s):

Nguyen Thanh Hoan ◽

Yuei-An Liou ◽

Kim-Anh Nguyen ◽

Ram Sharma ◽

Duy-Phien Tran ◽

...

Keyword(s):

Land Use ◽

Surface Temperature ◽

Land Surface ◽

Urban Heat Islands ◽

Landsat 8 ◽

Heat Islands ◽

Land Use Types ◽

Urban Heat ◽

Negative Impacts ◽

The Individual

Hanoi City of Vietnam changes quickly, especially after its state implemented its Master Plan 2030 for the city’s sustainable development in 2011. Then, a number of environmental issues are brought up in response to the master plan’s implementation. Among the issues, the Urban Heat Island (UHI) effect that tends to cause negative impacts on people’s heath becomes one major problem for exploitation to seek for mitigation solutions. In this paper, we investigate the land surface thermal signatures among different land-use types in Hanoi. The surface UHI (SUHI) that characterizes the consequences of the UHI effect is also studied and quantified. Note that our SUHI is defined as the magnitude of temperature differentials between any two land-use types (a more general way than that typically proposed in the literature), including urban and suburban. Relationships between main land-use types in terms of composition, percentage coverage, surface temperature, and SUHI in inner Hanoi in the recent two years 2016 and 2017, were proposed and examined. High correlations were found between the percentage coverage of the land-use types and the land surface temperature (LST). Then, a regression model for estimating the intensity of SUHI from the Landsat 8 imagery was derived, through analyzing the correlation between land-use composition and LST for the year 2017. The model was validated successfully for the prediction of the SUHI for another hot day in 2016. For example, the transformation of a chosen area of 161 ha (1.61 km2) from vegetation to built-up between two years, 2016 and 2017, can result in enhanced thermal contrast by 3.3 °C. The function of the vegetation to lower the LST in a hot environment is evident. The results of this study suggest that the newly developed model provides an opportunity for urban planners and designers to develop measures for adjusting the LST, and for mitigating the consequent effects of UHIs by managing the land use composition and percentage coverage of the individual land-use type.

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MODELING A URBAN HEAT ISLAND using long time series satellite remote sensing data

Южно-Сибирский научный вестник ◽

10.25699/sssb.2021.38.4.005 ◽

2021 ◽

pp. 50-55

Author(s):

А.К. Матузко ◽

О.Е. Якубайлик

Keyword(s):

Elevated Temperatures ◽

Residential Buildings ◽

Surface Air Temperature ◽

Remote Sensing Data ◽

Urban Heat Islands ◽

Landsat 8 ◽

Heat Island ◽

Heat Islands ◽

Temperature Anomalies ◽

Urban Heat

Явление острова тепла в поле приземной температуры воздуха характерно любым городам и населенным пунктам; чем больше поселок или город, тем больше, как правило, разница температур внутри него и за его пределами. Интенсивность городских островов тепла весьма сильно зависит от особенностей рельефа. В условиях сложного рельефа на развитие острова тепла влияют различные локальные циркуляции. Исследование направлено на решение задач, связанных с определением температурных аномалий, которые возникают в течении года и определить системность их возникновения, используя многолетние спутниковые данные. Задача будет рассмотрена на примере горда Красноярска, по спутниковым снимкам Landsat-8 с 2013 по 2020 год. Сформированные на основе многовременного анализа границы городских островов тепла содержат информацию о характеристиках объектов, влияющих на интенсивность их теплового излучения. Причины возникновения острова тепла разделяются на антропогенный или природный характер, так же наблюдается динамика изменения границ температурных аномалий в исследуемый период. Наблюдаются переменные и устойчивые острова тепла на территории города. Переменные острова тепла образовались в новых местах городской территории, где ранее не отмечались повышенные температуры земной поверхности, чаще всего это связано со строительством новых зданий (торговых центров, спортивных сооружений, жилых домов). Полученные данные могут быть использованы для территориального планирования, эколого-географических обследований, в том числе по оценке экологической обстановки. The phenomenon of a heat island in the field of surface air temperature is characteristic of any cities and settlements; the larger the village or city, the greater, as a rule, the temperature difference inside and outside it. The intensity of urban heat islands is highly dependent on the features of the relief. In conditions of a difficult topography, the development of the heat island is influenced by various local circulations. The study is aimed at solving problems related to the determination of temperature anomalies that occur during the year and to determine the consistency of their occurrence, using long-term satellite data. The task will be considered on the example of Krasnoyarsk city, based on Landsat-8 satellite series from 2013 to 2020. The boundaries of urban heat islands formed on the basis of multi-time analysis contain information on the characteristics of objects that affect the intensity of their thermal radiation. The reasons for the appearance of a heat island are divided into anthropogenic or natural ones, as well as the dynamics of changes in the boundaries of temperature anomalies in the period under study. There are variable and stable heat islands in the city. Variable heat islands formed in new places of the urban area, where previously there were no elevated temperatures of the earth's surface, most often this is associated with the construction of new buildings (shopping centers, sports facilities, residential buildings). The data obtained can be used for territorial planning, ecological and geographical surveys, including assessing the ecological situation.

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