Article Collection on Advancing GeoAI: From Machine Learning to Foundation Models for Explainable and Generative Geospatial Intelligence

Call for Papers | Article Collection on Advancing GeoAI: From Machine Learning to Foundation Models for Explainable and Generative Geospatial Intelligence

Journal: International Journal of Digital Earth
Publisher: Taylor & Francis Group
Manuscript Submission Deadline: 31 August 2026

The International Journal of Digital Earth invites submissions for its Article Collection titled "Advancing GeoAI: From Machine Learning to Foundation Models for Explainable and Generative Geospatial Intelligence."

About the Article Collection

Geospatial Artificial Intelligence (GeoAI) is transforming Digital Earth research by integrating spatial data science, remote sensing, machine learning, and foundation models to better understand dynamic Earth systems. Recent advances in generative AI, multimodal foundation models, and natural language interfaces are enabling more intelligent, scalable, and interactive geospatial analysis while supporting applications in environmental monitoring, urban planning, disaster resilience, and sustainability.

This Article Collection seeks innovative research that advances GeoAI methodologies—from traditional machine learning to explainable AI, foundation models, and generative geospatial intelligence. It also encourages studies addressing transparency, ethics, human-centered AI, and trustworthy decision-making in geospatial applications.

Scope and Topics of Interest

Submissions may address, but are not limited to:

• Geospatial machine learning and deep learning

• Geospatial data mining and spatial analytics

• Explainable and interpretable GeoAI

• Geo-LLMs and multimodal foundation models

• Generative AI for Earth data synthesis

• GeoAI agents and autonomous mapping

• Natural language interfaces for geospatial systems

• Predictive Earth system modelling

• Remote sensing and Digital Earth applications

• Environmental monitoring and climate analytics

• Urban planning and smart cities

• Disaster management and resilience

• Sustainable development through GeoAI

• Responsible, ethical, and human-centered GeoAI

• Policy frameworks and governance for geospatial intelligence

Submission Guidelines

• Manuscript Submission Deadline: 31 August 2026

• Original research articles and review papers are welcome.

• All submissions will undergo a full peer-review process.

• Authors should follow the journal's author guidelines and select the appropriate Article Collection during submission.

• This Article Collection will be published as Open Access.

Article Collection Guest Advisors

• Prof. Ali Mansourian — Lund University, Sweden

• Prof. Maria Antonia Brovelli — Politecnico di Milano, Italy

• Associate Prof. Hamed Alemohammad — Clark University, USA

• Anwaar Alshimmari — Federal Geographic Information Center, UAE

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