Spatial Modelling of Urban Wind Characteristics: Review of Contributions to Sustainable Urban Development

YS Liu, T Yigitcanlar, M Guaralda, K Degirmenci, A Liu - Buildings, 2024 - mdpi.com
Wind, a renewable resource with growing importance in the contemporary world, is
considered a capable tool for addressing some of the problems linked with rapid …

Systematic review of GIS and remote sensing applications for assessing the socioeconomic impacts of mining

MLE Ang, JR Owen, CN Gibbins… - The Journal of …, 2023 - journals.sagepub.com
As the mining industry expands, a comprehensive understanding of its socioeconomic risks
and benefits is urgently needed. This paper systematically reviews 71 studies (1996–2021) …

Unveiling causal dynamics and forecasting of urban carbon emissions in major emitting economies through multisource interaction

X Liang, W Zhan, X Li, F Deng - Sustainable Cities and Society, 2024 - Elsevier
Mitigating city carbon emissions in major emitting economies is vital for sustainable
development. This study exploits the complex interactions among major sources of …

Boosting urban community resilience to multi-hazard scenarios in open spaces: A virtual reality–serious game training prototype for heat wave protection and …

M De Fino, R Tavolare, G Bernardini… - Sustainable Cities and …, 2023 - Elsevier
A key role in making cities resilient has been acknowledged in raising risk preparedness
and awareness of urban communities, by appropriate education and communication …

Study on waste tire pyrolysis product characteristics based on machine learning

J Qi, K Zhang, M Hu, P Xu, T Huhe, X Ling… - Journal of …, 2023 - Elsevier
Tire pyrolysis is a highly complex thermochemical conversion process that transforms waste
tires into high-value products such as pyrolysis oil, pyrolysis gas, and pyrolysis char. This …

Estimation of PM2.5 Concentration across China Based on Multi-Source Remote Sensing Data and Machine Learning Methods

Y Yang, Z Wang, C Cao, M Xu, X Yang, K Wang… - Remote Sensing, 2024 - mdpi.com
Long-term exposure to high concentrations of fine particles can cause irreversible damage
to people's health. Therefore, it is of extreme significance to conduct large-scale continuous …

Land intensification use scenarios based on urban land suitability assessment of the national park

T Qi, Y Li, M Huang, B Luo, Z Peng, W Wang… - Sustainable Cities and …, 2024 - Elsevier
In designing national parks, it is important to balance land use with ecological protection and
local socio-economic development. In the past decades, the national park has undergone …

Machine learning techniques to map the impact of urban heat island: Investigating the city of jeddah

A Addas - Land, 2023 - mdpi.com
Over the last decades, most agricultural land has been converted into residential colonies to
accommodate the rapid population expansion. Population growth and urbanization result in …

Weakly-semi supervised extraction of rooftop photovoltaics from high-resolution images based on segment anything model and class activation map

R Yang, G He, R Yin, G Wang, Z Zhang, T Long… - Applied Energy, 2024 - Elsevier
Accurate extraction of rooftop photovoltaic from high-resolution remote sensing imagery is
pivotal for propelling green energy planning and development. Conventional deep learning …

Random Forest Classifier Algorithm of Geographic Resources Analysis Support System Geographic Information System for Satellite Image Processing: Case Study of …

P Lemenkova - Coasts, 2024 - mdpi.com
Mapping coastal regions is important for environmental assessment and for monitoring
spatio-temporal changes. Although traditional cartographic methods using a geographic …