Remote Methods in Studying the Temperature of the Earth's Surface in Cities (On the Example of the City of Krasnoyarsk, Russia)

Gosteva, Anna; Matuzko, Aleksandra; Yakubailik, Oleg

doi:10.24057/2414-9179-2018-2-24-195-205

Cited by 6 publications

(3 citation statements)

References 1 publication

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“…They allow to get large amounts of data without resorting to manual measurements or expensive experiments. This is why, in recent decades, researchers have increasingly used remote sensing data to solve applied problems and to describe the surface heat island, and diagnose thermal anomalies [6,7].…”

Section: Materials and Methods For Studying Thermal Anomaliesmentioning

confidence: 99%

Urban climate and registration of thermal anomalies of territories using satellite imagery

2021

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This paper describes a simplified method of mapping of the ur-ban environment surface to obtain a map of the thermal anomalies distribu-tion and study the structure of the urban heat island. Those maps allow evaluating or planning the urban microclimate optimization methods and studying the effect of land cover type on the site temperature. The article discusses the processing of five satellite images for the summer and winter from 2002 to 2019. We propose a simpler and more automated processing of thermal images for Landsat 7 and Landsat 8. The stages of automatic atmospheric correction according to the DOS1 method and calculation of the emissivity with surface classification are considered. Image processing was carried out in the QGIS software package using the Semiautomatic Classification Plugin extension. As a result, thermal anomalies in Chelya-binsk were localized and a comparison of the thermal map for the specific region before and after urbanization was made.

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Section: Materials and Methods For Studying Thermal Anomaliesmentioning

confidence: 99%

Urban climate and registration of thermal anomalies of territories using satellite imagery

2021

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“…Zaytsev 2 , A.K. Matuzko 3 1 Federal Research Center "Krasnoyarsk Science Center of the Siberian Branch of the Russian Academy of Sciences", Krasnoyarsk 2 Siberian Federal University, Krasnoyarsk 3…”

Section: Automation Of Surface Temperature Calculation Based On Lands...mentioning

confidence: 99%

Automation of Surface Temperature Calculation Based on Landsat 8-9 Thermal Range Data ON THE TERRITORY OF CENTRAL SIBERIA

Gosteva¹,

Zaitsev²,

Matuzko³

2023

Южно-Сибирский Научный Вестник

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Температура поверхности составляет важную часть для исследований городской территории. Особенности получения температуры поверхности усложняют процесс получения этих значений от космических снимков Landsat 8-9. Обновленная коллекция спутниковых данных Landsat 8-9 Collection 2 Level 2 имеет частичные потери данных, такая потеря не дает качественной возможности проводить исследования, поэтому возникла необходимость использовать алгоритм для расчёта температуры земной поверхности. В статье рассмотрен алгоритм получения значений температуры земной поверхности на основе космических снимков Landsat 8-9 апробированный на территории центральной Сибири. Представлено решение для автоматизации этого алгоритма с возможностью расширения территории исследования. Особенностью этого решения являются учтенные атмосферные параметры и дополнительные данные, использованные в разработке Landsat 8-9 Collection 2 Level 2. Решением является десктопное приложение с возможностью выбора конкретной даты космического снимка или зоны территории исследования. В приложении есть возможность загрузки набора необходимых данных, возможность рассчитать данные с 2013 года по настоящее время. С помощью разработанного приложения исследователи в области анализа температурных аномалий могут регулярно в полуавтоматическом режиме получаться необходимые данные. Полученные данные могут быть использованы для территориального планирования, эколого-географических обследований, в том числе по оценке экологической обстановки. Такая автоматизация позволяет упростить доступ к значениям температуры поверхности, что очень важно в проводимых исследованиях. Surface temperature is an important part of urban exploration. Features of obtaining the surface temperature complicate the process of obtaining these values from Landsat 8-9 space images. The updated collection of satellite data Landsat 8-9 Collection 2 Level 2 has partial data loss, such a loss does not provide a qualitative opportunity to conduct research, so it became necessary to use an algorithm to calculate the temperature of the earth's surface. The article considers an algorithm for obtaining the values of the temperature of the earth's surface based on satellite images Landsat 8-9, tested on the territory of central Siberia. A solution for automating this algorithm with the possibility of expanding the study area is presented. A feature of this solution is the atmospheric parameters taken into account and additional data used in the development of Landsat 8-9 Collection 2 Level 2. The solution is a desktop application with the ability to select a specific date of a satellite image or a zone of the study area. The application has the ability to download a set of required data, the ability to calculate data from 2013 to the present. With the help of the developed application, researchers in the field of temperature anomaly analysis can regularly obtain the necessary data in a semi-automatic mode. The data obtained can be used for territorial planning, ecological and geographical surveys, including those for assessing the environmental situation. Such automation makes it possible to simplify access to surface temperature values, which is very important in ongoing research.

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“…На момент написания работы были найдены исследования городского острова тепла только по Красноярску [2]. При этом Омск является более предпочтительным городом в целях возможного сравнения интенсивности UHI, так как имеет схожий климат, рельеф и ландшафт с Новосибирском.…”

Section: Introductionunclassified

Estimation of Summer Surface Urban Heat Island of Novosibirsk From Landsat 8 Satellite Images

Gazimov¹,

Kuzhevskaya²

2021

Геогр. вест.

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An urban heat island is a phenomenon which occurs when the temperature in urban areas is higher than that in their rural surroundings. The formation of an urban heat island has a negative impact on the health of urban dwellers and the ecology of the city. We assessed the intensity of the surface urban heat island (UHISurf) in the city of Novosibirsk during the summer period from 2018 to 2020 using two categories of indicators – those based solely on differences in temperature (UHI-driven) and those including land cover type data (land-cover-driven). Data from the Landsat 8 were used to obtain information on land surface temperature. In accordance with the chosen methodology, bands 4, 5 and 10 were taken to calculate the land surface temperature. A prerequisite for satellite data selection was the absence of cloud cover over the study area. In this paper, nine buffers with a diameter of 1 km were selected, each around ground-based meteorological observation points at the Roshydromet network of stations. The results obtained indicate the presence of a stable surface urban heat island in Novosibirsk during the study period. The maximum value among all surface urban heat island intensity indicators was 23,0°C for the range indicator. Negative intensity values (up to –1,6°C) were also obtained for several cases, which is associated with a larger heating of croplands relative to urban surfaces. It is concluded that UHISurf intensity values depend on the choice of the calculation approach.

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Remote Methods in Studying the Temperature of the Earth's Surface in Cities (On the Example of the City of Krasnoyarsk, Russia)

Cited by 6 publications

References 1 publication

Urban climate and registration of thermal anomalies of territories using satellite imagery

Urban climate and registration of thermal anomalies of territories using satellite imagery

Automation of Surface Temperature Calculation Based on Landsat 8-9 Thermal Range Data ON THE TERRITORY OF CENTRAL SIBERIA

Estimation of Summer Surface Urban Heat Island of Novosibirsk From Landsat 8 Satellite Images

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