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Application of Digital Aerial Photogrammetry in Geomorphological Studies

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: 30 June 2024 | Viewed by 2101

Special Issue Editors


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Guest Editor
Department of Geodynamics, University of Granada, Granada, Spain
Interests: GIS programming; landscape evolución; morphometry; active tectonics

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Guest Editor
Department of Mathematics and Geosciences, University of Trieste, Trieste, Italy
Interests: slow-moving landslides; geohazard; coastal geomorphology; coastal boulder deposits; UAVs
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Geodynamics, University of Granada, Granada, Spain
Interests: UAV; tectonic geomorphology; active tectonics

Special Issue Information

Dear Colleagues,

In the last decade, novel methodologies concerning the creation of high-resolution topographic data have experienced an evident revolution in geomorphology. Terrestrial laser scanners, airborne LiDAR, synthetic aperture radar (SAR) and photogrammetry, among others, have allowed for the creation of very-high-resolution digital elevation models (DEMs), which, in turn, established novel horizons in the analysis and quantification of relief forms and processes.

Of these novel methodologies, photogrammetry is probably the one to have experienced the greatest development, due to its low cost and ease of application. The growth and development of structure-from-motion (Sfm) algorithms for aerial image processing has been a milestone in photogrammetry, making their use relatively inexpensive and requiring little training to apply.

These novel algorithmics allow for both the creation of digital models from high-resolution aerial images obtained from UAVs and the creation of 3D models from images taken at ground level using conventional photographs.

The application of photogrammetric techniques is being used to analyze geomorphological processes in many research fields, including geomorphological risks, the quantification of landforms, fluvial processes, tectonic geomorphology, erosion processes, change detection, etc.

This Special Issue invites geoscientists actively involved in the acquisition and processing of photogrammetric data for the evaluation of the geomorphological characterization of landforms and processes. Topics for consideration include, but are not limited to, the following areas:

  • UAV digital photogrammetry (UAV DP);
  • Analysis of landforms and processes using high-resolution topographic data;
  • Use of photogrammetry for the detection of geomorphic changes;
  • Photogrammetry applied to geomorphological risk assessments;
  • Extraction of quantitative geomorphic parameters obtained from DEMs;
  • Evaluation of different-resolution data in the characterization of geomorphic features.

Prof. Dr. José Vicente Pérez-Peña
Dr. Stefano Devoto
Prof. Dr. Patricia Ruano
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 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 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.

Published Papers (1 paper)

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Research

36 pages, 12517 KiB  
Article
Breach Progression Observation in Rockfill Dam Models Using Photogrammetry
by Geir Helge Kiplesund, Fjola Gudrun Sigtryggsdottir and Leif Lia
Remote Sens. 2023, 15(6), 1715; https://doi.org/10.3390/rs15061715 - 22 Mar 2023
Cited by 3 | Viewed by 1747
Abstract
Dam failures are examples of man-made disasters that have stimulated investigation into the processes related to the failure of different dam types. Embankment dam breaching during an overtopping event is one of the major modes of failure for this dam type, comprising both [...] Read more.
Dam failures are examples of man-made disasters that have stimulated investigation into the processes related to the failure of different dam types. Embankment dam breaching during an overtopping event is one of the major modes of failure for this dam type, comprising both earthfill and rockfill dams. This paper presents the results of a series of laboratory tests on breach initiation and progression in rockfill dams. Especially eight breaching tests of 1 m-high 1:10 scale embankment dams constructed of scaled well-graded rockfill were conducted. Tests were performed with and without an impervious core and under different inflow discharges. Controlling instrumentation includes up to nine video cameras used for image analysis and photogrammetry. A previously little-used technique of dynamic 3D photogrammetry has been applied to prepare 3D models every 5 s throughout the breaching process, allowing us to track in detail breach development. These dynamic 3D models along with pressure sensor data, flow data, and side-view video are used to provide data on erosion rates throughout the breaching process. One important purpose of this research is to test methods of observing a rapidly changing morphology such as an embankment dam breach that can easily be scaled up to large-scale and prototype-scale tests. The resulting data sets are further intended for the verification of existing empirical and numerical models for slope stability and breach development as well as the development of new models. Full article
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