Instantaneous sea ice drift speed from TanDEM-X interferometry

Abstract. The drift of sea ice is an important geophysical process with widespread implications for the ocean energy budget and ecosystems. Drifting sea ice can also threaten marine operations and present a hazard for ocean vessels and installations. Here, we evaluate single-pass along-track synthetic aperture radar (SAR) interferometry (S-ATI) as a tool to assess ice drift while discussing possible applications and inherent limitations. Initial validation shows that TanDEM-X phase-derived drift speed corresponds well with drift products from a ground-based radar at Utqiaġvik, Alaska. Joint analysis of TanDEM-X and Sentinel-1 data covering the Fram Strait demonstrates that S-ATI can help quantify the opening/closing rate of leads with possible applications for navigation. S-ATI enables an instantaneous assessment of ice drift and dynamic processes that are otherwise difficult to observe. For instance, by evaluating sea ice drift through the Vilkitsky Strait, Russia, we identified short-lived transient convergence patterns. We conclude that S-ATI enables the identification and analysis of potentially important dynamic processes (e.g., drift, rafting, and ridging). However, current limitations of S-ATI are significant (e.g., data availability and they presently only provide the cross-track vector component of the ice drift field) but may be significantly reduced with future SAR systems.

[1]  G. Garrison,et al.  Satellite and Oceanographic Observations of the Warm Coastal Current in the Chukchi Sea , 1984 .

[2]  D. Raucoules,et al.  Detection of river/sea ice deformation using satellite interferometry: limits and potential , 2004 .

[3]  Jinlun Zhang,et al.  Recent changes in the dynamic properties of declining Arctic sea ice: A model study , 2012 .

[4]  Laurent Ferro-Famil,et al.  Validation of Sea-Ice Topographic Heights Derived From TanDEM-X Interferometric SAR Data With Results From Laser Profiler and Photogrammetry , 2018, IEEE Transactions on Geoscience and Remote Sensing.

[5]  Jaan Praks,et al.  A Study of Landfast Ice with Sentinel-1 Repeat-Pass Interferometry over the Baltic Sea , 2017, Remote. Sens..

[6]  Hajo Eicken,et al.  Toward an integrated coastal sea-ice observatory: System components and a case study at Barrow, Alaska , 2009 .

[7]  R. Kwok,et al.  Trends in Arctic sea ice drift and role of wind forcing: 1992–2009 , 2011 .

[8]  D. Marsan,et al.  Arctic sea ice velocity field: General circulation and turbulent‐like fluctuations , 2009 .

[9]  Hajo Eicken,et al.  Sea-Ice System Services: A Framework to Help Identify and Meet Information Needs Relevant for Observing Networks , 2009 .

[10]  Ron Kwok,et al.  Sea ice motion from satellite passive microwave imagery assessed with ERS SAR and buoy motions , 1998 .

[11]  Franz J. Meyer,et al.  Traversing Sea Ice—Linking Surface Roughness and Ice Trafficability Through SAR Polarimetry and Interferometry , 2018, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[12]  Shusun Li,et al.  Application of Satellite Radar Interferometry to the Detection of Sea Ice Deformation. , 1996 .

[13]  G. Valenzuela Theories for the interaction of electromagnetic and oceanic waves — A review , 1978 .

[14]  Joshua Jones,et al.  Extracting Quantitative Information on Coastal Ice Dynamics and Ice Hazard Events From Marine Radar Digital Imagery , 2013, IEEE Transactions on Geoscience and Remote Sensing.

[15]  J. Kay,et al.  The Arctic’s rapidly shrinking sea ice cover: a research synthesis , 2012, Climatic Change.

[16]  Hajo Eicken,et al.  Landfast sea ice extent in the Chukchi and Beaufort Seas: The annual cycle and decadal variability , 2014 .

[17]  Franz J. Meyer,et al.  New possibilities using TSX and TDX in support of sea ice use , 2018 .

[18]  Wolfgang Dierking,et al.  Performance of a multiscale correlation algorithm for the estimation of sea-ice drift from SAR images: initial results , 2011, Annals of Glaciology.

[19]  Francesco De Zan,et al.  Interferometric sea ice mapping with TanDEM-X: First experiments , 2011, 2011 IEEE International Geoscience and Remote Sensing Symposium.

[20]  C. Werner,et al.  Radar interferogram filtering for geophysical applications , 1998 .

[21]  Stein Sandven,et al.  Open-source sea ice drift algorithm for Sentinel-1 SAR imagery using a combination of feature tracking and pattern matching , 2016 .

[22]  Franz J. Meyer,et al.  Assessing small-scale deformation and stability of landfast sea ice on seasonal timescales through L-band SAR interferometry and inverse modeling , 2016 .

[23]  Franz J. Meyer,et al.  Assessing Sea Ice Trafficability in a Changing Arctic , 2018 .

[24]  Franz J. Meyer,et al.  Measurement and imaging of infragravity waves in sea ice using InSAR , 2016 .

[25]  Franz J. Meyer,et al.  Mapping arctic landfast ice extent using L-band synthetic aperture radar interferometry , 2011 .

[26]  Leif E. B. Eriksson,et al.  X-Band Interferometric SAR Observations of Baltic Fast Ice , 2015, IEEE Transactions on Geoscience and Remote Sensing.

[27]  Kay I. Ohshima,et al.  Sea ice thickness in the southwestern Sea of Okhotsk revealed by a moored ice‐profiling sonar , 2006 .

[28]  S. Suchandt,et al.  First Analysis of TerraSAR-X Along-Track InSAR-Derived Current Fields , 2010, IEEE Transactions on Geoscience and Remote Sensing.

[29]  Meso- and microscale sea-ice motion in the East Siberian Sea as determined from ERS-1 SAR Data , 1999 .

[30]  Wilford F. Weeks,et al.  On sea ice , 2010 .

[31]  F. Rocca,et al.  InSAR Principles-Guidelines for SAR Interferometry Processing and Interpretation , 2007 .

[32]  Roland Romeiser,et al.  Theoretical Evaluation of Several Possible Along-Track InSAR Modes of TerraSAR-X for Ocean Current Measurements , 2007, IEEE Transactions on Geoscience and Remote Sensing.

[33]  Juha Karvonen,et al.  Virtual radar ice buoys – a method for measuring fine-scale sea ice drift , 2016 .

[34]  Hajo Eicken,et al.  Sea Ice: Hazards, Risks, and Implications for Disasters , 2015 .

[35]  J. Karvonen,et al.  Sea ice drift and deformation in the coastal boundary zone , 2016 .

[36]  Fuk K. Li,et al.  Synthetic aperture radar interferometry , 2000, Proceedings of the IEEE.

[37]  Camilla Brekke,et al.  Emulating Sentinel-1 Doppler Radial Ice Drift Measurements Using Envisat ASAR Data , 2015, IEEE Transactions on Geoscience and Remote Sensing.

[38]  R. Kwok,et al.  Assimilation of ice motion observations and comparisons with submarine ice thickness data , 2003 .

[39]  Pierre Rampal,et al.  A Combination of Feature Tracking and Pattern Matching with Optimal Parametrization for Sea Ice Drift Retrieval from SAR Data , 2017, Remote. Sens..

[40]  J. Askne,et al.  SAR interferometry over Baltic Sea ice , 1998 .

[41]  David W. Norton,et al.  Drift Velocities of Ice Floes in Alaska's Northern Chukchi Sea Flaw Zone : Determinants of Success by Spring Subsistence Whalers in 2000 and 2001 , 2004 .

[42]  Jeffrey R. Key,et al.  Arctic sea ice in transformation: A review of recent observed changes and impacts on biology and human activity , 2014 .

[43]  Michael Haller,et al.  Atmosphere–ice forcing in the transpolar drift stream: results from the DAMOCLES ice-buoy campaigns 2007–2009 , 2014 .

[44]  Franz J. Meyer,et al.  Iceberg topography and volume classification using TanDEM-X interferometry , 2019, The Cryosphere.

[45]  An Observation of the Directional Wave Spectrum Evolution from Shoreline to Fully Developed , 1989 .

[46]  Ron Kwok,et al.  Arctic sea ice circulation and drift speed: Decadal trends and ocean currents , 2013 .

[47]  Franz J. Meyer,et al.  Mapping pan-Arctic landfast sea ice stability using Sentinel-1 interferometry , 2019, The Cryosphere.

[48]  Chandra Kambhamettu,et al.  Landfast sea ice breakouts: Stabilizing ice features, oceanic and atmospheric forcing at Barrow, Alaska , 2016 .

[49]  Naoto Ebuchi,et al.  Ice-edge detection from Japanese C-band radar and high-frequency radar coastal stations , 2013, Annals of Glaciology.

[50]  Joshua Jones,et al.  Environmental security in Arctic ice-covered seas: From strategy to tactics of hazard identification and emergency response , 2011 .

[51]  Roland Romeiser,et al.  Numerical study on the along-track interferometric radar imaging mechanism of oceanic surface currents , 2000, IEEE Trans. Geosci. Remote. Sens..

[52]  Claudio Aporta,et al.  SIKU: Knowing Our Ice , 2010 .

[53]  Andrew Roberts,et al.  Spatial and temporal characterization of sea-ice deformation , 2011, Annals of Glaciology.

[54]  Pierre Rampal,et al.  Positive trend in the mean speed and deformation rate of Arctic sea ice, 1979–2007 , 2009 .

[55]  C. Werner,et al.  GAMMA SAR AND INTERFEROMETRIC PROCESSING SOFTWARE , 2000 .

[56]  R. Bamler,et al.  Synthetic aperture radar interferometry , 1998 .

[57]  J. Comiso,et al.  Climate trends in the Arctic as observed from space , 2014, Wiley interdisciplinary reviews. Climate change.

[58]  Hajo Eicken,et al.  Taking a look at both sides of the ice: comparison of ice thickness and drift speed as observed from moored, airborne and shore-based instruments near Barrow, Alaska , 2015, Annals of Glaciology.

[59]  Jennifer K. Hutchings,et al.  sea-ice arching and multiple flow States of Arctic pack ice , 2006, Annals of Glaciology.

[60]  Franz J. Meyer,et al.  Mapping Arctic Bottomfast Sea Ice Using SAR Interferometry , 2018, Remote. Sens..

[61]  P. Winsor,et al.  Pathways of Pacific water across the Chukchi Sea: A numerical model study , 2004 .

[62]  James A. Maslanik,et al.  Effect of environmental conditions on observed, modeled, and assimilated sea ice motion errors , 2003 .

[63]  J. R. Jensen,et al.  Synthetic aperture radar interferometry applied to ship‐generated internal waves in the 1989 Loch Linnhe experiment , 1993 .

[64]  Leif E. B. Eriksson,et al.  Investigation of a Hybrid Algorithm for Sea Ice Drift Measurements Using Synthetic Aperture Radar Images , 2014, IEEE Transactions on Geoscience and Remote Sensing.

[65]  Thomas Busche,et al.  Sea ice local surface topography from single-pass satellite InSAR measurements: a feasibility study , 2017 .

[66]  Franz J. Meyer,et al.  Evaluating landfast sea ice stress and fracture in support of operations on sea ice using SAR interferometry , 2018 .