Resilient Land Systems in the Face of Increasing Disaster Risks

Dear Colleagues,

The rising frequency and severity of natural disasters such as floods, landslides, wildfires, and droughts are placing unprecedented stress on land systems across the globe. Developing resilient land systems is essential to safeguard ecosystems, infrastructure, and human livelihoods. In this context, Geographic Information Systems (GIS), Remote Sensing, and Machine Learning (ML) have emerged as critical tools to monitor land dynamics, evaluate vulnerability, and provide predictive insights that inform disaster preparedness and sustainable management strategies.

This Special Issue, Resilient Land Systems in the Face of Increasing Disaster Risks, seeks to highlight recent advances in geospatial technologies and data-driven approaches that strengthen resilience. We invite contributions that integrate GIS, Remote Sensing, and ML to explore innovative methodologies, interdisciplinary applications, and practical solutions for disaster risk reduction. By bringing together original research and review articles, this Special Issue will serve as a platform for advancing scientific understanding and informing policies on resilient land systems in diverse geographic and socio-economic contexts.

The suggested themes include, but are not limited to, the following:

1. GIS, Remote Sensing, and ML applications for monitoring and predicting floods, landslides, wildfires, and droughts.
2. Assessing land system vulnerability, exposure, and resilience using geospatial technologies.
3. Climate change impacts on land systems and adaptive geospatial approaches.
4. Big data and AI-driven models for disaster preparedness and land management.
5. Remote Sensing for land-use dynamics, urban expansion, and ecosystem resilience.
6. Policy and planning frameworks supported by GIS and Remote Sensing for resilient land systems.

We welcome original research articles, case studies, and reviews that demonstrate how geospatial innovations and machine learning can enhance resilience in the face of increasing disaster risks.

We look forward to receiving your original research articles and reviews.

Kind regards,

Dr. Dorcas Idowu
Dr. Wendy Zhou
Guest Editors

Manuscript Submission Information

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