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TitleInSAR coherence for automated lake ice extent mapping: TanDEM-X bistatic and pursuit monostatic results
Authorvan der Sanden, J J; Short, N H; Drouin, H
SourceInternational Journal of Applied Earth Observation and Geoinformation vol. 73, 2018 p. 605-615,
Alt SeriesNatural Resources Canada, Contribution Series 20180230
PublisherElsevier BV
Mediapaper; on-line; digital
File formatpdf; html
Subjectsgeophysics; surface waters; lakes; ice; mapping techniques; remote sensing; satellites; radar methods; methodology; interferometric synthetic aperture radar (InSAR); classification; freeze-up; breakup; coherence; backscatter; cooperative mode; automated mapping; Landsat-8
Illustrationslocation maps; satellite images; tables; flow diagrams; aerial photographs; graphs; histograms
ProgramRemote Sensing Science, Methodology
Released2018 09 08
AbstractTanDEM-X bistatic and pursuit monostatic InSAR coherence offer different utility for lake ice extent mapping. Both facilitate ice-water discrimination largely independent of the SAR incidence angle but only pursuit monostatic coherence does so under all wind conditions. Relative to backscatter intensity-the basis for most existing mapping approaches-pursuit monostatic coherence offers enhanced utility. Our automated mapping approach combines basic interferometric processing, ice-water classification using a 0.3 coherence threshold and geospatial analysis to separate lakes from land. The approach is developed and demonstrated using TanDEM-X pursuit monostatic data acquired during freeze-up but should also be of use for the mapping of lake ice breakup. Early in the freeze-up season, the extent of lake ice is underestimated due to the commission of new ice-estimated age
Summary(Plain Language Summary, not published)
Within the Government of Canada, information on lake ice extent is used e.g. for the purpose of weather prediction and climate modelling. Changing wind conditions and imaging angles hamper existing methods to assess lake ice extent by means of Synthetic Aperture Radar (SAR) satellite images. This paper introduces an automated mapping approach that works under all winds and angles. It involves the acquisition of two SAR images, separated in time by seconds, basic interferometric processing, threshold based ice-water classification and the application of vector data to separate lakes from land. SAR images from the German TanDEM-X mission are used to demonstrate the utility of the approach for the mapping of lake ice freeze-up. Generally speaking, the approach produces reliable results but maps derived from images acquired at the onset of freeze-up are found to underestimate lake ice extent due to the inclusion of new ice¿up to 5 days in age¿in the water class.