Compilation of a radar backscatter database of sea ice types and open water using operational analysis of heterogeneous ice regimes

A new algorithm has been developed to compile a database of radiometric measurements acquired by remote sensors from different surfaces that coexist in heterogeneous areas. An application is presented to compile a backscatter database of ice types during the freeze-up season in the Canadian Eastern Arctic using the operational visual analysis of RADARSAT-1 images from the Canadian Ice Service. The analysis identifies mostly heterogeneous areas composed of ice types and seawater. The estimated backscatter of each type is presented as a function of radar incidence angle. Backscatter from open seawater and seawater confined between ice floes is also presented as a function of radar incidence angle and surface wind speed. In general, backscatter obtained from heterogeneous areas using the present algorithm differs to some extent from backscatter obtained from homogeneous “training” areas for each type yet still fulfils the expectations according to the underlying physics of radar interaction with sea ice. The algorithm also identifies anomalies in the visual analysis of RADARSAT images (i.e., areas in which the analysis results are not consistent with the general analysis of the entire RADARSAT record). Therefore, the algorithm presents the first quantitative assessment of the robustness of the operational visual analysis of RADARSAT-1 images.

[1]  S. Haykin,et al.  Bayesian classification of surface-based ice-radar images , 1987 .

[2]  J. C. Comiso,et al.  Microwave remote sensing of sea ice , 1988 .

[3]  E. Svendsen,et al.  Evolution of microwave sea ice signatures during early summer and midsummer in the marginal ice zone , 1987 .

[4]  Son V. Nghiem,et al.  A comparison of sea ice field observations in the Barents Sea marginal ice zone with satellite SAR data , 2002, IEEE International Geoscience and Remote Sensing Symposium.

[5]  Ian S. Robinson,et al.  Measuring the Oceans from Space: The Principles and Methods of Satellite Oceanography , 2004 .

[6]  Christian Haas,et al.  The seasonal cycle of ERS scatterometer signatures over perennial Antarctic sea ice and associated surface ice properties and processes , 2001, Annals of Glaciology.

[7]  Martin O. Jeffries,et al.  Antarctic sea ice : physical processes, interactions, and variability , 1998 .

[8]  C. Bertoia,et al.  Study of Multi-Polarization C-Band Backscatter Signatures for Arctic Sea Ice Mapping with Future Satellite SAR , 2001 .

[9]  J. Yackel,et al.  Sea ice type and open water discrimination using dual co-polarized C-band SAR , 2009 .

[10]  R C Lo A Comprehensive Description of the Mission Sensor Microwave Imager (SSM/I) Environmental Parameter Extraction Algorithm. , 1983 .

[11]  Son V. Nghiem,et al.  Evolution of Electromagnetic-Signatures of Sea Ice From Initial Formation Through the Establishment of Thick First-Year Ice , 2000 .

[12]  M. Lundhaug,et al.  ERS SAR studies of sea ice signatures in the Pechora Sea and Kara Sea region , 2002 .

[13]  Mohammed Shokr,et al.  Comparison of NASA Team2 and AES-york ice concentration algorithms against operational ice charts from the Canadian ice service , 2006, IEEE Transactions on Geoscience and Remote Sensing.

[14]  Senior Member,et al.  Seasonal and Regional Variations of Active/Passive Microwave Signatures of Sea Ice , 1987, IEEE Transactions on Geoscience and Remote Sensing.

[15]  Stephen E. L. Howell,et al.  Surface-Based Polarimetric C-Band Scatterometer for Field Measurements of Sea Ice , 2007, IEEE Transactions on Geoscience and Remote Sensing.

[16]  Leen-Kiat Soh,et al.  A dynamic local thresholding technique for sea ice classification , 1993, Proceedings of IGARSS '93 - IEEE International Geoscience and Remote Sensing Symposium.

[17]  A. Gray Microwave Remote Sensing of Sea Ice , 1981 .

[18]  Mohammed Shokr,et al.  Arctic Sea Ice Microstructure Observations Relevant to Microwave Scattering , 1994 .

[19]  Robert Ezraty,et al.  Intercomparison of backscatter maps over Arctic sea ice from NSCAT and the ERS scatterometer , 1999 .

[20]  Ron Kwok,et al.  Analysis of C-band Polarimetric Signatures of Arctic Lead Ice using Data from AIRSAR and RADARSAT-1 , 2008, IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium.

[21]  Ola M. Johannessen,et al.  Sea Ice Monitoring by Remote Sensing , 2006 .

[22]  Ola M. Johannessen,et al.  Multisensor approach to automated classification of sea ice image data , 2005, IEEE Transactions on Geoscience and Remote Sensing.

[23]  A. Mouche,et al.  Radar scattering of the ocean surface and sea-roughness properties : A combined analysis from dual-polarizations airborne radar observations and models in C band , 2006 .