Summer Discrepancies between 2 m Air Temperature and Landsat LST in Suceava City, Northeastern Romania
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Published:2024-08-13
Issue:16
Volume:16
Page:2967
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ISSN:2072-4292
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Container-title:Remote Sensing
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language:en
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Short-container-title:Remote Sensing
Author:
Mihăilă Dumitru1ORCID, Bistricean Petruț-Ionel1ORCID, Sfîcă Lucian2ORCID, Horodnic Vasilică-Dănuț1ORCID, Prisăcariu Alin1, Amihăesei Vlad-Alexandru34ORCID
Affiliation:
1. Department of Geography, “Stefan cel Mare” University of Suceava, 720229 Suceava, Romania 2. Department of Geography, Faculty of Geography and Geology, Alexandru Ioan Cuza University of Iași, 700506 Iași, Romania 3. Doctoral School of Geosciences, Alexandru Ioan Cuza University of Iași, 700506 Iași, Romania 4. Department of Climatology, National Meteorological Administration, 013686 Bucharest, Romania
Abstract
The widespread availability of Land Surface Temperature (LST) data from various sources presents a contemporary challenge for urban climate studies: how to efficiently compare these data with the results of traditional methods of temperature monitoring, which typically assume measurements at 2 m under sheltered conditions. In this line, the current study is based primarily on data extracted from a network of 31 points of hourly temperature monitoring at the 2 m level (Tair2m), in use between 2019 and 2021, in the city of Suceava in north-eastern Romania. These data allowed a detailed mapping for each hourly time step through multiple regression, adjusted by IDW, which was identified as the best interpolation method of Tair2m. These data were analyzed in parallel with LST data derived from Landsat imagery available in the analyzed period for 35 summer days with no or low cloud cover. The mapping results of both the Tair2m and LST data describe the main characteristics of the Suceava urban agglomeration (SvMA) heat island, which presents polynuclear features with intensities—as expressed by the temperature difference between the cores of the heat island and the surrounding rural areas—spanning during the summer noontime between 3.0 °C based on Tair2m and 7.1 °C on LST, respectively. The values of the Tair2m–LST differences were 0.68 °C on average, ranging from 5.33 to −19.17 °C, directly proportional to the imperviousness ratio (IMD) values, reaching the highest values in the local climate zones (LCZs) with a high built-up ratio (up to −19.17 °C) and the lowest (0.5 ÷ −0.5 °C) for those with bare soils, with isolated bushes and trees, with few or no buildings. The study results could serve as a tool to downscale the LST data to the level of Tair2m, which is useful for interpretation of the data derived from these commonly used tools in urban climate monitoring.
Funder
Ministry of Research, Innovation and Digitization
Reference72 articles.
1. Zhou, D., Xiao, J., Bonafoni, S., Berger, C., Deilami, K., Zhou, Y., Frolking, S., Yao, R., Qiao, Z., and Sobrino, J.A. (2019). Satellite Remote Sensing of Surface Urban Heat Islands: Progress, Challenges, and Perspectives. Remote Sens., 11. 2. Thermal infrared remote sensing for urban climate and environmental studies: Methods, applications, and trends;Weng;ISPRS J. Photogramm. Remote Sens.,2009 3. Progress, knowledge gap and future directions of urban heat mitigation and adaptation research through a bibliometric review of history and evolution;He;Energy Build.,2023 4. Calculating cooling extents of green parks using remote sensing: Method and test;Lin;Landsc. Urban Plan.,2015 5. Farid, N., Moazzam, M.F.U., Ahmad, S.R., Coluzzi, R., and Lanfredi, M. (2022). Monitoring the Impact of Rapid Urbanization on Land Surface Temperature and Assessment of Surface Urban Heat Island Using Landsat in Megacity (Lahore) of Pakistan. Front. Remote Sens., 3.
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