Advancements in Geospatial Methods and Technologies for Sustainable Built Environment and Engineering

Submission Deadline: 31 October 2025 View: 147 Submit to Special Issue

Guest Editors

Siti Aekbal Salleh

Email: aekbal@uitm.edu.my

Affiliation: Center of Studies for Geomatics Science and Natural Resource, College of Built Environment, Universiti Teknologi MARA, 40400 Shah Alam, Selangor, Malaysia

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Research Interests: GIS; 3D GIS; Remote Sensing; Urban Climate; Climate Change

Mustafa Ustuner

Email: mustuner@artvin.edu.tr

Affiliation: Department of Geomatic Engineering, Artvin Çoruh University, Artvin, Turkey

Homepage:

Research Interests: Remote Sensing; PolSAR; Hyperspectral

Summary

This theme captures the essence of advanced technologies (AI, machine learning, big data), modern applications (climate change, smart cities, health research), and critical issues (ethical implications, geospatial cyberinfrastructure). It allows for the inclusion of a wide range of research topics, from cutting-edge technical methods to societal impacts, ensuring comprehensive coverage of the latest trends in geospatial research.

Sub-themes:

1. AI and Machine Learning in Built Environment Geospatial Analysis: How AI-driven techniques are transforming spatial analysis in urban planning, construction, and infrastructure management.

2. Big Data in Geospatial Research for Engineering: Methods for managing and analyzing large-scale geospatial datasets in the context of built environment projects.

3. Geospatial Solutions for Climate Resilience and Sustainability: Techniques for assessing and mitigating climate change impacts in urban and infrastructure development.

4. 3D and 4D Geospatial Modeling for Engineering Applications: Advances in 3D and 4D modeling, virtual reality, and augmented reality for construction, architecture, and urban development.

5. Smart Cities and Geospatial Techniques: Geospatial methods for the development and management of smart cities, focusing on infrastructure, mobility, and sustainable urban systems.

6. Geospatial Health Research in the Built Environment: Exploring the intersection of public health, environmental factors, and geospatial data in urban and rural planning.

7. Remote Sensing and UAS Innovations for Built Environment Projects: Utilizing drones and remote sensing technologies for data acquisition and analysis in construction, urban monitoring, and environmental assessment.

8. Geospatial Cyberinfrastructure in Engineering Research: Developing and deploying cyberinfrastructure to support data sharing, collaboration, and analysis in engineering and environmental studies.

9. Spatial Data Science in Engineering and Urban Studies: Applying spatial data science and advanced analytics in solving complex problems related to the built environment.

10. Ethical Considerations in Geospatial Technologies for Urban and Environmental Projects: Addressing the ethical and social challenges in deploying geospatial technologies in urban planning and environmental management.

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