[HTML][HTML] Machine learning and remote sensing integration for leveraging urban sustainability: A review and framework

F Li, T Yigitcanlar, M Nepal, K Nguyen, F Dur - Sustainable Cities and …, 2023 - Elsevier
Climate change and rapid urbanisation exacerbated multiple urban issues threatening
urban sustainability. Numerous studies integrated machine learning and remote sensing to …

[HTML][HTML] Urban microclimate and building energy models: A review of the latest progress in coupling strategies

N Sezer, H Yoonus, D Zhan, LL Wang… - … and Sustainable Energy …, 2023 - Elsevier
Climatic conditions are different in cities than in their geographical environment. Precise
representation of the climatic parameters within an urban context is crucial for obtaining …

Impact of urban expansion on land surface temperature and carbon emissions using machine learning algorithms in Wuhan, China

M Zhang, AA Kafy, P Xiao, S Han, S Zou, M Saha… - Urban Climate, 2023 - Elsevier
The impact of the rapid expansion of urban land on the urban thermal environment and
carbon chain has attracted widespread attention. This paper uses artificial neural network …

Assessing the impact of fractional vegetation cover on urban thermal environment: A case study of Hangzhou, China

M Zhang, S Tan, C Zhang, S Han, S Zou… - Sustainable Cities and …, 2023 - Elsevier
The large-scale urbanization has changed the surface characteristics of cities, seriously
affected the urban heat balance, and worsened the urban thermal environment. The …

Machine learning in modelling the urban thermal field variance index and assessing the impacts of urban land expansion on seasonal thermal environment

M Zhang, S Tan, C Zhang, E Chen - Sustainable Cities and Society, 2024 - Elsevier
Land use practices in urban areas exert a profound influence on the urban thermal
environment and the pursuit of sustainable development. This paper aims to investigate and …

Predicting Urban Heat Island severity on the census-tract level using Bayesian networks

G Assaf, X Hu, RH Assaad - Sustainable Cities and Society, 2023 - Elsevier
Urban development and population growth have resulted in several critical impacts on the
society, environment, and economy. One of the main impacts is the increase in temperature …

Predicting the impacts of urban development on urban thermal environment using machine learning algorithms in Nanjing, China

M Zhang, S Tan, J Liang, C Zhang, E Chen - Journal of Environmental …, 2024 - Elsevier
The urban thermal environment undergoes significant influences from changes in land
use/land cover (LULC). This article uses CA-ANN and ANN algorithms to forecast LULC and …

Predictive modeling of land surface temperature (LST) based on Landsat-8 satellite data and machine learning models for sustainable development

CB Pande, JC Egbueri, R Costache, LM Sidek… - Journal of Cleaner …, 2024 - Elsevier
Abstract Accurate prediction of Land Surface Temperature (LST) is critical for understanding
and mitigating the effects of climate change and land use dynamics. This study proposes a …

Urban tree cover provides consistent mitigation of extreme heat in arid but not humid cities.

PC Ibsen, BR Crawford, L Corro, KJ Bagstad… - Sustainable Cities and …, 2024 - Elsevier
Urban land cover types influence the urban microclimates. However, recent work indicates
the magnitude of land cover's microclimate influence is affected by aridity. Moreover, this …

Modelling land use/land cover (LULC) change dynamics, future prospects, and its environmental impacts based on geospatial data models and remote sensing data

MN Ahmad, Z Shao, A Javed - Environmental Science and Pollution …, 2023 - Springer
The dynamic change in land use/land cover (LULC) caused by rapid urbanization has
become a major concern in Lahore, causing a variety of socioeconomic and environmental …