Special Issue "Landslide Hazard and Risk Assessment"
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing in Geology, Geomorphology and Hydrology".
Deadline for manuscript submissions: closed (26 April 2019).
Dr. Filippo Catani
Engineering Geology and Geomorphology Research Group, Department of Earth Sciences, University of Florence, Via La Pira 4, 50121 Firenze, Italy
Website | E-Mail
Interests: basin scale surface processes monitoring and modelling; natural hazards; applications of remote sensing; landslide hazard; scaling processes in geomorphology
Prof. Ping Lu
College of Surveying and Geo-Informatics, Tongji University, Shanghai, China
Interests: remote sensing, landslide mapping, landslide hazard and risk
Dr. Federico Raspini
Department of Earth Sciences, University of Florence, Via La Pira, 4 - 50121 Firenze, Italy
Interests: landslide mapping and monitoring; subsidence analysis; remote sensing data interpretation; geohazard monitoring
Landslides are ubiquitous geomorphological phenomena occurring in all geographic regions in response to a wide range of conditions and triggering processes that include rainfall events, earthquakes, and human activities. Landslides can have potentially catastrophic consequences. In several countries landslide mortality can be higher than that of any other natural hazard. In addition to direct losses, landslides also cause significant environmental damage and societal disruption. Assessment of hazard and risk posed by existing or future slope failures is a difficult task that is of both scientific interest and societal relevance but the research community is facing a new challenge in mitigating such risks since the frequency and intensity of landslide disasters is steadily increasing in the last decades, also due to climate change which forces weather extremes.
Therefore, new tools and methods are needed that are able to accurately monitor and map large areas of the globe with suitable time frequency and spatial coverage.
Remote sensing plays a pivotal role in driving the innovation in landslide research, because it can provide data for spatial mapping of large areas, 3D models of the topographic surface, displacement measurements that usefully complement traditional field data, parameters for numerical and empirical models through data assimilation techniques. Specific innovation challenges at the frontier of science are the exploitation of new satellite constellations with specific advantages, such as low-cost, high frequency of acquisition, high spatial or spectral resolution, hyperspectral remote sensing, multi-interferometry, UAV-borne sensors, new ground-based non-strictly SAR radar systems, automated mapping and detection methods, application of artificial intelligence tools to remote sensing data interpretation and analysis.
We would like to invite you to participate in this Special Issue, which will focus primarily on such innovative remote sensing methods to determine landslide hazard and risk, including quantitative evaluation of the associated uncertainties. All landslide types are considered, from fast rockfalls to debris flows, from slow moving slides to very rapid rock avalanches. All climatic and geographical scales are considered, from the local to the global scale, including individual and multiple slope failures.
Submissions are encouraged to cover a broad range of topics on the various applications of remote sensing techniques, which may include, but are not limited to, the following topics: (i) mapping and analysis of landslide conditioning and triggering factors, (ii) supplement of data for landslide hazard models, (iii) landslide motion detection, (iv) remote sensing techniques for the definition of vulnerability and characterisation of elements at risk, (v) remote sensing-based risk scenario modelling.Prof. Filippo Catani
Prof. Ping Lu
Dr. Federico Raspini
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 papers will be 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 100 words) can be sent to the Editorial Office for announcement on this website.
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-blind 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 1800 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.
- Landslide Hazard and Risk
- Landslide Monitoring
- Landslide Forecasting
- SAR interferometry
- Target and change detection of landslides
- UAV, airborne and space-borne sensors