Special Issue "Use of LiDAR and 3D point clouds in Geohazards"
A special issue of Remote Sensing (ISSN 2072-4292).
Deadline for manuscript submissions: closed (30 June 2015)
The acquisition of dense and accurate terrain information using three-dimensional remote sensing systems (e.g., LiDAR, photogrammetry) has opened up new possibilities for improving our understanding, modeling and prediction capabilities of different Geohazards during the last years. The use of these sensors mounted on various fixed or mobile platforms, including Unmanned Aerial Vehicles (UAV), airborne, helicopter, vessel, etc., is changing classical approaches for investigating hazardous sites. In addition to well-established LiDAR systems, some fast evolving image processing techniques—such as Structure From Motion—make it possible to get 3D point cloud data at low cost by non-specialists. These developments will certainly produce a series of exciting research findings and new applications for Natural Hazards assessment in the forthcoming years.
In spite of recent technological advances, a great challenge remains in the development of new 3D computational procedures for gaining a more accurate knowledge of geological hazards. Further investigation on the development of new algorithms for automatic feature extraction, monitoring and integration of very high quality 3D data with current physical models is still needed.
Contributions aiming to use 3D point clouds for investigating natural phenomena (including ground deformation, landslides, floods, earthquakes, volcanoes, soil erosion, etc.) that pose serious risks to human beings or infrastructures will be much appreciated in this special issue. We aim to put together innovative contributions about novel processing techniques and original applications of three-dimensional techniques in Geohazards. Some examples include, but are not limited to:
- Novel technologies or procedures for dynamic acquisition of 3D point clouds
- New computational methods related with the monitoring of natural phenomena
- Semi-automatic extraction of terrain features related with the characterization of geological hazard
- Integration of very high quality data for improving the modeling of geohazards
- Recent case studies: innovative analysis and interpretation of Geohazards
- Use of three-dimensional systems in laboratory scale experiments (micro scale)
- Improvements in regional mapping derived from high quality 3D data
- Pioneering initiatives for the creation of 3D databases, web visualization and data sharing
- Further related topics.
Authors are required to check and follow specific Instructions to Authors, see https://dl.dropboxusercontent.com/u/165068305/Remote_Sensing-Additional_Instructions.pdf.
Dr. Michel Jaboyedoff
Dr. Antonio Abellan
Dr. Marc-Henri Derron
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 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 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.
- 3d point clouds
- soil erosion
- ground deformation