Next Article in Journal
Multidimensional Visualization and Processing of Big Open Urban Geospatial Data on the Web
Previous Article in Journal
Balancing Hazard Exposure and Walking Distance in Evacuation Route Planning during Earthquake Disasters
Previous Article in Special Issue
Analysis of Green Spaces by Utilizing Big Data to Support Smart Cities and Environment: A Case Study About the City Center of Shanghai
Article

Geospatial Virtual Reality for Cyberlearning in the Field of Topographic Surveying: Moving Towards a Cost-Effective Mobile Solution

1
Michigan Technological University, Department of Civil and Environmental Engineering, Houghton, MI 49931, USA
2
School of GIS and Land Management, Kyiv National University of Construction and Architecture, 03037 Kyiv, Ukraine
*
Author to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2020, 9(7), 433; https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi9070433
Received: 17 May 2020 / Revised: 26 June 2020 / Accepted: 7 July 2020 / Published: 10 July 2020
(This article belongs to the Special Issue Geovisualization and Geo Visual Knowledge Discovery)
In spite of the tremendous success in artificial intelligence technology and a high level of automation in geospatial data obtaining processes, there is still a need for topographical field data collection by professional surveyors. Understanding terrain topology and topography is a cognitive skill set that has to be demonstrated by geospatial Subject Matter Experts (SME) for the productive work in the topographic surveying field. For training of the mentioned above skillset, one has to be exposed to the theory and must also practice with surveying instruments in field conditions. The challenge of any surveying/geospatial engineering workforce training is to expose students to field conditions which might be limited due to equipment expenses and meteorological conditions that prevent good data collection. To meet this challenge, the Integrated Geospatial Technology research group is working on a geospatial virtual reality (VR) project which encompasses the following components: (a) immersive visualization of terrain; (b) virtual total station instrument; (c) virtual surveyor with reflector installed on the virtual rod. The application scenario of the technology we are working with has the following stages: (1) student is installing total station on the optimal location; (2) students move virtual surveyor on the sampling points they consider to be important (3) contours are generated and displayed in 3D being superimposed on 3D terrain; (4) accuracy of terrain modeling is observable and measurable by comparing the sampling model with initial one. View Full-Text
Keywords: virtual reality; cyberlearning; training geospatial workforce virtual reality; cyberlearning; training geospatial workforce
Show Figures

Graphical abstract

MDPI and ACS Style

Levin, E.; Shults, R.; Habibi, R.; An, Z.; Roland, W. Geospatial Virtual Reality for Cyberlearning in the Field of Topographic Surveying: Moving Towards a Cost-Effective Mobile Solution. ISPRS Int. J. Geo-Inf. 2020, 9, 433. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi9070433

AMA Style

Levin E, Shults R, Habibi R, An Z, Roland W. Geospatial Virtual Reality for Cyberlearning in the Field of Topographic Surveying: Moving Towards a Cost-Effective Mobile Solution. ISPRS International Journal of Geo-Information. 2020; 9(7):433. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi9070433

Chicago/Turabian Style

Levin, Eugene, Roman Shults, Reza Habibi, Zhongming An, and William Roland. 2020. "Geospatial Virtual Reality for Cyberlearning in the Field of Topographic Surveying: Moving Towards a Cost-Effective Mobile Solution" ISPRS International Journal of Geo-Information 9, no. 7: 433. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi9070433

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop