Next Article in Journal
Use of SSU/MSU Satellite Observations to Validate Upper Atmospheric Temperature Trends in CMIP5 Simulations
Previous Article in Journal
User Validation of VIIRS Satellite Imagery
Article Menu

Export Article

Open AccessTechnical Note
Remote Sens. 2016, 8(1), 14; doi:10.3390/rs8010014

Estimating Horizontal Displacement between DEMs by Means of Particle Image Velocimetry Techniques

Department of Architectural Graphic Expression and Engineering, University of Granada, 18071 Granada, Spain
*
Author to whom correspondence should be addressed.
Academic Editors: Richard Gloaguen and Prasad S. Thenkabail
Received: 31 July 2015 / Revised: 12 December 2015 / Accepted: 16 December 2015 / Published: 24 December 2015
View Full-Text   |   Download PDF [2277 KB, uploaded 24 December 2015]   |  

Abstract

To date, digital terrain model (DTM) accuracy has been studied almost exclusively by computing its height variable. However, the largely ignored horizontal component bears a great influence on the positional accuracy of certain linear features, e.g., in hydrological features. In an effort to fill this gap, we propose a means of measurement different from the geomatic approach, involving fluid mechanics (water and air flows) or aerodynamics. The particle image velocimetry (PIV) algorithm is proposed as an estimator of horizontal differences between digital elevation models (DEM) in grid format. After applying a scale factor to the displacement estimated by the PIV algorithm, the mean error predicted is around one-seventh of the cell size of the DEM with the greatest spatial resolution, and around one-nineteenth of the cell size of the DEM with the least spatial resolution. Our methodology allows all kinds of DTMs to be compared once they are transformed into DEM format, while also allowing comparison of data from diverse capture methods, i.e., LiDAR versus photogrammetric data sources. View Full-Text
Keywords: digital terrain models; DEM; accuracy; horizontal displacement; particle image velocimetry; PIV digital terrain models; DEM; accuracy; horizontal displacement; particle image velocimetry; PIV
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Reinoso, J.F.; León, C.; Mataix, J. Estimating Horizontal Displacement between DEMs by Means of Particle Image Velocimetry Techniques. Remote Sens. 2016, 8, 14.

Show more citation formats Show less citations formats

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

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top