Geospatial Insights: Unleashing the Power of Big Data and GeoAI, 2nd Edition
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 10 July 2025 | Viewed by 605
Special Issue Editors
Interests: spatiotemporal big data analysis; GeoAI; remote sensing AI; deep learning
Special Issues, Collections and Topics in MDPI journals
Interests: GeoAI; VGI; geoparsing; indoor mapping and localization
Special Issues, Collections and Topics in MDPI journals
Interests: remote sensing AI; GeoAI; quantitative human geography; sensing mobility and activity; geospatial big data analytics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In today's rapidly changing world of geospatial sciences, combining geospatial big data and geographic artificial intelligence (GeoAI) is reshaping how we conduct scientific research and transforming practical applications in various fields. Geospatial big data, gathered from satellites, sensors, social media, citizen input, and various sources, provide an enormous amount of spatial information. Additionally, GeoAI, which combines artificial intelligence with geospatial analysis, offers innovative methods for understanding this vast data landscape. An essential component of GeoAI is the use of large language models (LLMs), enhancing natural language understanding within the geospatial domain. These models facilitate smooth communication between complex data patterns and human understanding.
This Special Issue delves into innovative approaches in geospatial big data and GeoAI, emphasizing data integration and advanced artificial intelligence techniques like large language models. Similar to the focus on natural products, our discussions center on modern geospatial methods and technologies, validated through practical applications in real-world scenarios.
This Research Topic welcomes original research papers and review papers offering new insights into geospatial big data and GeoAI. Topics of interest include, but are not limited to, the following:
- Harvesting geospatial information from diverse data sources;
- Harnessing AI for geospatial solutions across various fields;
- Multi-source data fusion for enhanced geospatial analysis;
- Enhancing disaster response through satellite imagery and social media data integration;
- Natural language processing in geospatial data interpretation;
- Semantic understanding in geospatial analysis using LLMs;
- Enhanced spatial query systems with large language models;
- GeoAI-driven sentiment analysis from social media texts;
- LLMs in geospatial knowledge graph construction;
- Interactive geospatial visualization with language-driven interfaces;
- Geospatial question answering systems using large language models.
Dr. Shaohua Wang
Dr. Xuke Hu
Dr. Yeran Sun
Guest Editors
Manuscript Submission Information
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Keywords
- geospatial big data
- GeoAI
- large language models
- geospatial analysis
- social media data
- remote sensing
- VGI
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