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Photogrammetry in Engineering Geology: Tools, Methods and Applications

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Engineering Remote Sensing".

Deadline for manuscript submissions: closed (30 June 2020) | Viewed by 345

Special Issue Editors


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Guest Editor
School of Environment, The University of Auckland, Auckland 1010, New Zealand
Interests: engineering geology; slope stability; mine geology

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Guest Editor
Department of Geography, University of South Africa, Johannesburg, South Africa
Interests: photogrammetry; UAVs; land surface change

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Guest Editor
Infrastructure & Environmental Services, Auckland Council, 24 Wellesley Street, Auckland, New Zealand
Interests: remote sensing; change monitoring; UAV; satellites; InSAR

Special Issue Information

Dear colleagues,

Engineering geology is the application of geological principles to engineering in both the civil infrastructure and the mining/energy sectors. In our rapidly developing societies, it is vital that we design and build in a manner that is safe, environmentally sensitive, economic and resilient to the impacts from environmental change and natural hazards. From initial site investigations to geological hazard assessments and monitoring, engineering geologists play a key role in understanding soil and rock properties and behavior, hydrogeology, as well as Earth surface processes. Therefore, the role of an engineering geologist requires the use of a range of tools and techniques, and photogrammetry and remote sensing are frequently used because they can provide time-dependent data, often over large and inaccessible or hazardous areas.

Over the last two decades, with the development of new technological approaches and software, the application of photogrammetry to engineering geology has emerged as a key growth area. Differential global positioning systems (dGPS) and total stations (TS) have enabled 3D positioning of observations to millimetre-scale accuracy. More recently, photogrammetry, alongside laser scanning using unmanned aerial vehicle (UAV) platforms, has increased the spatial coverage and density of available datasets through non-selective sampling of millions or even billions of survey points, to produce 3D point clouds. Synthetic Aperture Radar (SAR) and thermal and hyperspectral cameras have also extended the fields of photogrammetry. Likewise, low-cost cameras and smartphones can now provide an economic and practical approach to photogrammetry, allowing the measurement of orientation (strike and dip) of discontinuities, as an example. Off-the-shelf Windows-based software now allows the processing and modelling of photogrammetric datasets to be undertaken efficiently by non-experts.

This Special Issue collection of papers on “Photogrammetry in Engineering Geology: Tools, Methods and Applications” is focused on approaches to the use of photogrammetry to engineering geology and geotechnical engineering. It will provide opportunities for specialists as well as non-experts to appreciate the range of photogrammetric tools and techniques that are currently applied in the engineering geology fields globally. Papers within (but not limited to) the following fields are welcome:

  • Production of digital elevation models from photogrammetric approaches and their application to engineering geology and engineering geomorphology;
  • Processing methods for aerial imagery, multi-resolution data, image classification, 3D construction of surfaces and change detection;
  • Applications of hyperspectral imagery and methods to engineering geological and geotechnical issues;
  • UAVs as platforms for a range of sensors, and technical developments in this field;
  • Engineering geological applications of satellite sensor data such as Synthetic Aperture Radar (SAR) and optical cameras;
  • Low-cost economic surveying and image capture of engineering geological structures and man-made infrastructure for monitoring purposes;
  • Underground space photogrammetry for civil infrastructure construction as well as mining applications.

Dr. Martin Brook
Prof. David W. Hedding
Ms. Amanda MacDonald-Creevey
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

There is no accepted submissions to this special issue at this moment.
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