Resilient Land Systems in the Face of Increasing Disaster Risks
A special issue of Land (ISSN 2073-445X). This special issue belongs to the section "Land Systems and Global Change".
Deadline for manuscript submissions: 10 January 2027 | Viewed by 683
Editors
Interests: geohazard; GIS; remote sensing; machine learning; water resources
Interests: remote sensing and GIS applications in geohazard assessment and environmental impact study; SAR and PSInSAR applications in monitoring ground subsidence and landslide deformation rate; underground transportation geotechnics; rock mass characterization; numerical modeling, such as finite element and finite difference methods for ground thermal regimes; stress–strain distribution in the rock or soil mass
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
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:
- GIS, Remote Sensing, and ML applications for monitoring and predicting floods, landslides, wildfires, and droughts.
- Assessing land system vulnerability, exposure, and resilience using geospatial technologies.
- Climate change impacts on land systems and adaptive geospatial approaches.
- Big data and AI-driven models for disaster preparedness and land management.
- Remote Sensing for land-use dynamics, urban expansion, and ecosystem resilience.
- 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
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Land is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- resilient land systems
- disaster risk reduction
- GIS
- remote sensing
- machine learning
- climate change adaptation
- land-use dynamics
- sustainable land management
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