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Linfeng Wang, Shengbo Chen, Lei Chen, Zibo Wang, Bin Liu and Yucheng Xu
Accurately mapping urban built-up areas is critical for monitoring urbanization and development. Previous studies have shown that Night light (NTL) data is effective in characterizing the extent of human activity. But its inherently low spatial resolutio...
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Andreas F. Gkontzis, Sotiris Kotsiantis, Georgios Feretzakis and Vassilios S. Verykios
Smart cities, leveraging advanced data analytics, predictive models, and digital twin techniques, offer a transformative model for sustainable urban development. Predictive analytics is critical to proactive planning, enabling cities to adapt to evolving...
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Carmine Massarelli and Vito Felice Uricchio
This study focuses on the analysis, implementation and integration of techniques and methods, also based on mathematical algorithms and artificial intelligence (AI), to acquire knowledge of some phenomena that produce pollution with an impact on environm...
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Nigel K. Downes, Harry Storch, Pham Quoc Viet, Nguyen Kieu Diem and Le Canh Dinh
This paper contributes to the understanding of the recent urban development of Ho Chi Minh City, Vietnam. Previous studies have aimed at quantifying the city?s spatial growth yet have disregarded its inherent morphological and socio-economic heterogeneit...
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Muhammad Umer Masood, Muhammad Rashid, Saif Haider, Iram Naz, Chaitanya B. Pande, Salim Heddam, Fahad Alshehri, Ismail Elkhrachy, Amimul Ahsan and Saad Sh. Sammen
Groundwater is an important source of freshwater. At the same time, anthropogenic activities, in particular, industrialization, urbanization, population growth, and excessive application of fertilizers, are some of the major reasons for groundwater quali...
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Siyi Li, Guowang Jin and Jiahao Li
Flooding is one of the most frequently occurring meteorological disasters nowadays, and its occurrence can cause significant socio-economic losses. Aiming at the problem that traditional optical remote sensing makes it difficult to monitor floods, this p...
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Astrid Schilmann, Andrés Sánchez-Pájaro, Marbella T. Ovilla-Muñoz, Juan Téllez-Sosa, Sugey Bravo-Romero, Sara Yuvisela Bahena-Reyes, Margarita Lobato, Jesús Martínez-Barnetche, Celia Mercedes Alpuche-Aranda, Héctor Lamadrid-Figueroa and Tonatiuh Barrientos-Gutiérrez
We aimed to estimate the lead time and infection prevalence from SARS-CoV-2 wastewater (WW) monitoring compared with clinical surveillance data in Mexico to generate evidence about the feasibility of a large-scale WW surveillance system. We selected 10 W...
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Cédric Mpié Simba, Emmanuel Lemelin, Eric Masson, Ahmed Senouci and Walid Maherzi
In the absence of industry data, organisms, and researchers leverage free and available data, specifically building and demolition permits. Geospatial processing is essential to integrate information from various files into a single GIS layer containing ...
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Dengqun Wang, Shuaihua Ye and Jun Zhang
The construction of an urban metro will inevitably involve deep excavation. Risk assessment before deep excavation, risk reduction measures, and real-time monitoring during excavation can effectively ensure the safety of deep excavation. Taking the deep ...
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Hanhan He, Jingze Xiao, Jing He, Bo Wei, Xiaogang Ma, Fan Huang, Xiangmin Cai, Yuanxin Zhou, Jingyi Bi, Yiting Zhao, Chunjun Wang and Jingran Wei
Three-dimensional (3D) geological models are currently needed and used independently for urban development. The main difficulty in constructing a 3D geological model of a shallow subsurface is to determine the stratigraphic distribution. Highly variable ...
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