Smart Geospatial Analytics: Integrating AI and GIS for Advanced Urban Planning and Environmental Solutions
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: 31 May 2026 | Viewed by 100
Special Issue Editor
Interests: geomatics; remote sensing; GeoAI; urban and environmental monitoring; UAV-based surveys; machine learning and deep learning for geospatial applications
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The integration of Artificial Intelligence (AI) with Geographic Information Systems (GIS) and remote sensing is transforming the observation, analysis, and management of urban and environmental systems. These technologies enable the efficient processing of large multi-source datasets from satellites, UAVs, IoT sensors, and other platforms, supporting both fine- and large-scale analyses. Advances in machine learning, deep learning, and spatial analysis now enable the extraction of actionable insights, simulation of future scenarios, and optimization of decision-making. This Special Issue welcomes innovative methodologies, applications, and case studies demonstrating the potential of AI–GIS integration for sustainable urban planning, environmental monitoring, and addressing emerging global challenges.
Papers can focus on, but are not limited to, the following topics:
- AI-driven urban growth monitoring and prediction;
- Spatiotemporal analyses of environmental change;
- Remote sensing and GIS integration for sustainable urban planning;
- GeoAI applications in disaster risk reduction and climate adaptation;
- Multisource data fusion for urban and environmental intelligence;
- UAV-based sensing and real-time geospatial analytics;
- Smart City infrastructure monitoring and management;
- Big geospatial data processing and visualization techniques.
Dr. Alessandro Vitale
Guest Editor
Manuscript Submission Information
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Keywords
- GeoAI
- remote sensing
- GIS integration
- machine learning
- deep learning
- urban analytics
- environmental monitoring
- smart cities
- UAV-based sensing
- spatio-temporal analysis
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