Geospatial Insights: Unleashing the Power of Big Data and GeoAI

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 diverse sources, provide an enormous amount of spatial information. At the same time, 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 diverse 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. Xuke Hu
Dr. Yeran Sun
Dr. Shaohua Wang
Guest Editors

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