Next Article in Journal
Domain Adversarial Neural Networks for Large-Scale Land Cover Classification
Previous Article in Journal
Creating a Lowland and Peatland Landscape Digital Terrain Model (DTM) from Interpolated Partial Coverage LiDAR Data for Central Kalimantan and East Sumatra, Indonesia
Article Menu

Export Article

Open AccessArticle

SenDiT: The Sentinel-2 Displacement Toolbox with Application to Glacier Surface Velocities

1
Section for Glaciers, Snow and Ice, Norwegian Water Resources and Energy Directorate (NVE), N-0301 Oslo, Norway
2
COMET. Department of Earth, Ocean and Ecological Sciences, University of Liverpool, Liverpool L69 3BX, UK
3
Volcanology and Earth Dynamics Research Group, IPNA-CSIC, 38206 San Cristóbal de La Laguna, Santa Cruz de Tenerife, Spain
*
Author to whom correspondence should be addressed.
Remote Sens. 2019, 11(10), 1151; https://doi.org/10.3390/rs11101151
Received: 7 March 2019 / Revised: 10 April 2019 / Accepted: 12 May 2019 / Published: 14 May 2019
  |  
PDF [7198 KB, uploaded 14 May 2019]
  |  

Abstract

Satellite imagery represents a unique opportunity to quantify the spatial and temporal changes of glaciers world-wide. Glacier velocity has been measured from repeat satellite scenes for decades now, yet a range of satellite missions, feature tracking programs, and user approaches have made it a laborious task. To date, there has been no tool developed that would allow a user to obtain displacement maps of any specified glacier simply by establishing the key temporal, spatial and feature tracking parameters. This work presents the application and development of a unique, semi-automatic, open-source, flexible processing toolbox for the retrieval of displacement maps with a focus on obtaining glacier surface velocities. SenDiT combines the download, pre-processing, feature tracking, and postprocessing of the highest resolution Sentinel-2A and Sentinel-2B satellite images into a semi-automatic toolbox, leaving a user with a set of rasterized and georeferenced glacier flow magnitude and direction maps for their further analyses. The solution is freely available and is tailored so that non-glaciologists and people with limited geographic information system (GIS) knowledge can also benefit from it. The system can be used to provide both regional and global sets of ice velocities. The system was tested and applied on a range of glaciers in mainland Norway, Iceland, Greenland and New Zealand. It was also tested on areas of stable terrain in Libya and Australia, where sources of error involved in the feature tracking using Sentinel-2 imagery are thoroughly described and quantified. View Full-Text
Keywords: Sentinel 2; glacier dynamics; feature tracking; displacement semi-automatic toolbox; glacier velocity; Jostedalsbreen; Norway; Jakobshavn Isbræ; satellite optical imagery; SenDiT Sentinel 2; glacier dynamics; feature tracking; displacement semi-automatic toolbox; glacier velocity; Jostedalsbreen; Norway; Jakobshavn Isbræ; satellite optical imagery; SenDiT
Figures

Graphical abstract

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

Share & Cite This Article

MDPI and ACS Style

Nagy, T.; Andreassen, L.M.; Duller, R.A.; Gonzalez, P.J. SenDiT: The Sentinel-2 Displacement Toolbox with Application to Glacier Surface Velocities. Remote Sens. 2019, 11, 1151.

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