Next Article in Journal
Using a Virtual Lidar Approach to Assess the Accuracy of the Volumetric Reconstruction of a Wind Turbine Wake
Previous Article in Journal
Training Small Networks for Scene Classification of Remote Sensing Images via Knowledge Distillation
Article Menu
Issue 5 (May) cover image

Export Article

Open AccessArticle
Remote Sens. 2018, 10(5), 720; https://doi.org/10.3390/rs10050720

Mapping Arctic Bottomfast Sea Ice Using SAR Interferometry

1
Department of Space, Earth, and Environment, Chalmers University of Technology, Hörsalsvägen 11, 412 96 Gothenburg, Sweden
2
Geophysical Institute, University of Alaska Fairbanks, Fairbanks, Alaska, 2156 Koyukuk Drive, Fairbanks, AK 99775, USA
3
SRK Consulting (U.S.), Inc., 4700 Business Park Blvd, Anchorage, AK 99503, USA
4
Canada Centre for Mapping and Earth Observation, 560 Rochester St., Ottawa, ON K1A 0E4, Canada
5
International Arctic Research Center, University of Alaska Fairbanks, Fairbanks, Alaska, 2160 Koyukuk Drive, Fairbanks, AK 99775, USA
6
Department of Biological Sciences, University of Texas El Paso, 500 W University Ave, El Paso, TX 79968, USA
*
Author to whom correspondence should be addressed.
Received: 6 April 2018 / Revised: 29 April 2018 / Accepted: 6 May 2018 / Published: 7 May 2018
(This article belongs to the Section Ocean Remote Sensing)
Full-Text   |   PDF [3098 KB, uploaded 7 May 2018]   |  

Abstract

Bottomfast sea ice is an integral part of many near-coastal Arctic ecosystems with implications for subsea permafrost, coastal stability and morphology. Bottomfast sea ice is also of great relevance to over-ice travel by coastal communities, industrial ice roads, and marine habitats. There are currently large uncertainties around where and how much bottomfast ice is present in the Arctic due to the lack of effective approaches for detecting bottomfast sea ice on large spatial scales. Here, we suggest a robust method capable of detecting bottomfast sea ice using spaceborne synthetic aperture radar interferometry. This approach is used to discriminate between slowly deforming floating ice and completely stationary bottomfast ice based on the interferometric phase. We validate the approach over freshwater ice in the Mackenzie Delta, Canada, and over sea ice in the Colville Delta and Elson Lagoon, Alaska. For these areas, bottomfast ice, as interpreted from the interferometric phase, shows high correlation with local bathymetry and in-situ ice auger and ground penetrating radar measurements. The technique is further used to track the seasonal evolution of bottomfast ice in the Kasegaluk Lagoon, Alaska, by identifying freeze-up progression and areas of liquid water throughout winter. View Full-Text
Keywords: sea ice; sea ice deformation; bottomfast ice; landfast sea ice; Arctic; synthetic aperture radar; InSAR sea ice; sea ice deformation; bottomfast ice; landfast sea ice; Arctic; synthetic aperture radar; InSAR
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

Dammann, D.O.; Eriksson, L.E.B.; Mahoney, A.R.; Stevens, C.W.; Van der Sanden, J.; Eicken, H.; Meyer, F.J.; Tweedie, C.E. Mapping Arctic Bottomfast Sea Ice Using SAR Interferometry. Remote Sens. 2018, 10, 720.

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