Journal ArticleDOI
Studying spatial-temporal changes and relationship of land cover and surface Urban Heat Island derived through remote sensing in Yerevan, Armenia
Garegin Tepanosyan,Vahagn Muradyan,Azatuhi Hovsepyan,Gleb Pinigin,Gleb Pinigin,Andrey Medvedev,Andrey Medvedev,Shushanik Asmaryan +7 more
TLDR
In this paper, the authors investigated the changes of the Land Cover (LC) and Surface Urban Heat Island (SUHI) in Yerevan and analyzed relations between them, study the relationships between land surface temperature (LST) and environmental factors/parameters, explore the accuracy of satellite derived LST.About:
This article is published in Building and Environment.The article was published on 2021-01-01. It has received 52 citations till now. The article focuses on the topics: Land cover.read more
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Assessment of urban thermal field variance index and defining the relationship between land cover and surface temperature in Chattogram city: A remote sensing and statistical approach
TL;DR: In this paper, the authors investigated the changing pattern of the SUHI and its magnitude with Landsat TM/OLI time-series satellite imageries from 1988 to 2018 and established the relationship between LC change and LST variations in Chattogram city.
Journal ArticleDOI
Rapid urbanization and climate change significantly contribute to worsening urban human thermal comfort: A national 183-city, 26-year study in China
TL;DR: Wang et al. as discussed by the authors combined daily meteorological data, including air temperature, solar radiation, wind speed, and humidity, to comprehensively assess the annual dynamics of urban thermal comfort and their relationship with rapid urbanization and climate change.
Journal ArticleDOI
Contributions of sea–land breeze and local climate zones to daytime and nighttime heat island intensity
TL;DR: In this article , the authors used Shenzhen as a case study to examine the daytime and nighttime differences in UHI intensity (UHII), considering different local climate zones (LCZs) and sea-land breezes.
Journal ArticleDOI
MODIS-based climatology of the Surface Urban Heat Island at country scale (Romania)
TL;DR: In this paper , the first country-scale climatology of the surface urban heat island (SUHI) investigated across the cities with more than 30,000 inhabitants from Romania using using the MODIS Land Surface Temperature (LST) data set developed within the LST_cci project, funded by European Space Agency.
Journal ArticleDOI
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)
TL;DR: In this article , the evolution of land use/cover (LULC), LST and SUHI were studied over a long period, from 1985 to 2020, in the metropolitan area of the city of Granada (Spain).
References
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Scikit-learn: Machine Learning in Python
Fabian Pedregosa,Gaël Varoquaux,Alexandre Gramfort,Vincent Michel,Bertrand Thirion,Olivier Grisel,Mathieu Blondel,Peter Prettenhofer,Ron Weiss,Vincent Dubourg,Jake Vanderplas,Alexandre Passos,David Cournapeau,Matthieu Brucher,Matthieu Perrot,Edouard Duchesnay +15 more
TL;DR: Scikit-learn is a Python module integrating a wide range of state-of-the-art machine learning algorithms for medium-scale supervised and unsupervised problems, focusing on bringing machine learning to non-specialists using a general-purpose high-level language.
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Scikit-learn: Machine Learning in Python
Fabian Pedregosa,Gaël Varoquaux,Alexandre Gramfort,Vincent Michel,Bertrand Thirion,Olivier Grisel,Mathieu Blondel,Andreas Müller,Joel Nothman,Gilles Louppe,Peter Prettenhofer,Ron Weiss,Vincent Dubourg,Jake Vanderplas,Alexandre Passos,David Cournapeau,Matthieu Brucher,Matthieu Perrot,Edouard Duchesnay +18 more
TL;DR: Scikit-learn as mentioned in this paper is a Python module integrating a wide range of state-of-the-art machine learning algorithms for medium-scale supervised and unsupervised problems.
Journal ArticleDOI
Local Climate Zones for Urban Temperature Studies
Iain D. Stewart,Timothy R. Oke +1 more
TL;DR: The Local Climate Zone (LCZ) classification system as discussed by the authors was developed to address the inadequacies of urban-rural description, and consists of 17 zone types at the local scale (102 to 104 m).
Journal ArticleDOI
Thermal remote sensing of urban climates
James A. Voogt,Timothy R. Oke +1 more
TL;DR: In this article, the authors review the use of thermal remote sensing in the study of urban climates, focusing primarily on the urban heat island effect and progress made towards answering the methodological questions posed by Roth et al.