Title :
Thin sea ice identification in the Kara Sea using AMSR-E data
Author :
von Lerber, A. ; Mäkynen, M. ; Similä, M. ; Sievinen, P. ; Hallikainen, M.T.
Author_Institution :
Aalto Univ., Aalto, Finland
Abstract :
In this study we have examined the identification of polynyas in the Kara Sea region with AMSR-E radiometer data. We have utilized a threshold value of the spectral gradient of vertically polarized brightness temperatures between frequencies 89 GHz and 36 GHz. As a comparison, ice thickness defined from the surface temperature measured with MODIS, is used. In clear sky conditions the correspondence is good, 72 % of all thin ice pixels with a mean thickness up to 15 cm were correctly identified, and 3.4 % were mischaracterized as thin ice, when these, according to MODIS thickness charts, were thicker than 40 cm. The precise definition of the ice thickness, according to our study, was not possible, unlike reported in some previous studies.
Keywords :
geophysical image processing; geophysical techniques; image classification; oceanographic regions; sea ice; AMSR-E data; AMSR-E radiometer data; Kara Sea region; MODIS thickness charts; clear sky conditions; frequency 89 GHz to 36 GHz; polynyas identification; surface temperature; thin ice pixels; thin sea ice identification; vertically polarized brightness temperatures; Ice thickness; MODIS; Microwave radiometry; Ocean temperature; Sea ice; Sea measurements; AMSR-E; ice thickness algorithm; polynya identification;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2012.6350477