Applications of Geospatial Technologies on Urban, Environmental, and Public Health Sustainability
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainability in Geographic Science".
Deadline for manuscript submissions: 12 April 2026 | Viewed by 311
Special Issue Editor
Interests: geographic information systems (GISs); spatiotemporal data analysis; mix-method approaches to collect spatial; environmental and other data (PGIS, GPS, wearable sensors, INS, UAV); thematic chartography
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Geospatial technologies have become crucial for advancing sustainability across urban, environmental, and public health domains. The integration of geographic information systems (GIS), remote sensing, geoAI facilitates the systematic analysis of spatial patterns, enabling evidence-based decision making for sustainable development. In urban sustainability, these technologies support smart city initiatives, optimize land-use planning, and enhance resilience to climate change. In the environmental domain, these technologies enable the ability to monitor ecosystem dynamics, assess pollution levels, and evaluate the impacts of anthropogenic activities on natural resources. In public health, geospatial methodologies contribute to environmental health risk assessments, exposure assessments, and the spatial accessibility evaluation of healthcare services, thereby improving health equity and policy interventions. This Special Issue welcomes cutting-edge research on the application of geospatial technologies in these domains, emphasizing methodological advancements, innovative case studies, and interdisciplinary approaches that contribute to sustainability.
Dr. Kalliopi Kyriakou
Guest Editor
Manuscript Submission Information
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Keywords
- geographic information systems (GISs)
- remote sensing
- GeoAI
- smart cities
- urban environments
- spatiotemporal data
- environmental monitoring
- public health
- spatial analytics
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