Progress in Remote Sensing and Scalable Computing for Natural Hazard Detection and Emergency Response
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Earth Observation for Emergency Management".
Deadline for manuscript submissions: 31 December 2026 | Viewed by 388
Editors
Interests: unmanned aerial vehicle; photogrammetry; high performance computing; geomorphological mapping
Interests: earth observation; cloud-based computing; geomorphological mapping
Interests: remote sensing; landscape evolution; geospatial analysis; numerical modelling
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue focuses on advances that are reshaping how scientists observe, model, and respond to a wide range of natural hazards. As climate change, environmental degradation, and urban expansion continue to intensify the frequency, severity, and cascading nature of events such as floods, landslides, earthquakes, volcanic eruptions, wildfires, extreme storms, heatwaves, droughts, and coastal hazards, the demand for timely, accurate, and operationally reliable monitoring frameworks has never been greater. Modern research on natural hazards must therefore integrate high-resolution and multi-sensor Earth Observation data with computational platforms capable of managing unprecedented data volumes and delivering rapid, decision-ready insights.
In this context, Remote Sensing technologies, from next-generation satellite missions and constellations to airborne and UAV-based mapping, and dense ground-based sensor networks, play a central role in detecting precursors, tracking event evolution, characterizing affected environments, and quantifying impacts at local to global scales. However, the volume and heterogeneity of the data produced by these sensing systems necessitate equally advanced computation.
Scalable frameworks such as cloud-native geoprocessing, high-performance and distributed computing, on-board and edge computing, and containerized workflows now enable near-real-time analysis, continental-scale modelling, and automated processing pipelines that can dynamically adapt to input data streams.
This Special Issue aims to gather innovative research that brings together these sensing and computing advances to address scientific and operational challenges. Topics of interest include, but are not limited to, enhanced detection and early-warning algorithms; cross-platform interoperability and data fusion; physically based and data-driven hazard modelling; machine learning and deep learning approaches; rapid damage assessment and exposure mapping; and the integration of predictive analytics into emergency management systems.
We particularly welcome contributions that demonstrate the transition of research into practice, including the development of advanced tools, reproducible and scalable workflows, operational dashboards, and frameworks that support resilience planning, disaster risk reduction, and coordinated response activities.
Dr. Marco La Salandra
Dr. Rosa Colacicco
Dr. Domenico Capolongo
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. Remote Sensing is an international peer-reviewed open access semimonthly 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 2700 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
- remote sensing
- scalable computing
- data integration
- natural hazard
- early warning
- emergency response
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