C-Band Polarimetric Coherences and Ratios for Discriminating Sea Ice Roughness
Author(s) -
Mukesh Gupta,
Randall K. Scharien,
David G. Barber
Publication year - 2013
Publication title -
international journal of oceanography
Language(s) - English
Resource type - Journals
eISSN - 1687-9414
pISSN - 1687-9406
DOI - 10.1155/2013/567182
Subject(s) - algorithm , surface roughness , geology , artificial intelligence , materials science , computer science , composite material
The rapid decline of sea ice in the Arctic has resulted in a variable sea ice roughness that necessitates improved methods for efficient observation using high-resolution spaceborne radar. The utility of C-band polarimetric backscatter, coherences, and ratios as a discriminator of ice surface roughness is evaluated. An existing one-dimensional backscatter model has been modified to two-dimensions (2D) by considering deviation in the orientation (i.e., the slopes) in azimuth and range direction of surface roughness simultaneously as an improvement in the model. It is shown theoretically that the circular coherence (ρRRLL) decreases exponentially with increasing surface roughness. The crosspolarized coherence (ρHHVH) is found to be less sensitive to surface roughness, whereas the copolarized coherence (ρVVHH) decreases at far-range incidence angles for all ice types. A complete validation of the adapted 2D model using direct measurements of surface roughness is suggested as an avenue for further research
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom