The use of unmanned aerial vehicles (UAVs) for engineering geology applications
Использование беспилотных летательных аппаратов (БПЛА) в инженерной геологии
2020-04-01
SCID: 54.1/rqwae3es
Discuss with AI
3D modelsdata processingengineering geologyorthophotounmanned aerial vehicles
Figures from the paper
Abstract (AI)
Abstract This paper represents the result of the IAEG C35 Commission “Monitoring methods and approaches in engineering geology applications” workgroup aimed to describe a general overview of unmanned aerial vehicles (UAVs) and their potentiality in several engineering geology applications. The use of UAV has progressively increased in the last decade and nowadays started to be considered a standard research instrument for the acquisition of images and other information on demand over an area of interest. UAV represents a cheap and fast solution for the on-demand acquisition of detailed images of an area of interest and the creation of detailed 3D models and orthophoto. The use of these systems required a good background of data processing and a good drone pilot ability for the management of the flight mission in particular in a complex environment.
Key Findings
1
Effective UAV application requires strong data-processing expertise and skilled flight-mission management, especially in complex environments.
2
The paper provides an overview of unmanned aerial vehicles and their potential applications in engineering geology.
3
UAV use in engineering geology has increased progressively over the last decade and is becoming a standard research instrument.
4
UAV-based surveys enable the creation of detailed three-dimensional models and orthophotos.
5
UAVs offer a cheap and rapid means of acquiring detailed, on-demand imagery for areas of interest.
Research Object
Unmanned aerial vehicles (UAVs) used in engineering geology applications
Research Subject
the potentiality and operational requirements of UAV-based on-demand acquisition of detailed images, 3D models, and orthophotos for engineering geology monitoring
Publication Details
Publication Date
2020-04-01
Journal
Publisher
ISSN
Open access PDF
Access Type
Author Information
Download PDF
Subscribe to digest
References available in scid.ai4
Image-based surface reconstruction in geomorphometry – merits, limits and developments2016
Unmanned Aerial Vehicles (UAVs) and Artificial Intelligence Revolutionizing Wildlife Monitoring and Conservation2016
Unmanned aerial systems for photogrammetry and remote sensing: A review2014
A PRECISE, LOW-COST RTK GNSS SYSTEM FOR UAV APPLICATIONS2012