DocumentCode :
1933472
Title :
Integrating expert- and algorithm-derived data to generate a hemispheric ice edge
Author :
Tsatsoulis, C. ; Komp, E.
Author_Institution :
Univ. of North Texas, Denton, TX, USA
fYear :
2013
fDate :
2-9 March 2013
Firstpage :
1
Lastpage :
6
Abstract :
The Arctic ice edge is the area of the Arctic where sea ice concentration is less than 15%, and is considered navigable by most vessels. Experts at the National Ice Center generate a daily ice edge product that is available to the public. Data of preference is that of active, high resolution satellite sensors such as RADARSAT which yields all-weather images of 100m resolution, and a second source is OLS data with 550m resolution. Unfortunately, RADARSAT does not provide full, daily coverage of the Arctic and OLS can be obscured by clouds. The SSM/I sensor provides complete coverage of the Arctic at 25km resolution and is independent of cloud cover and solar illumination during the Arctic winter. SSM/I data is analyzed by the NASA Team algorithm to establish ice concentration. Our work integrates the ice edge created by experts using high resolution data with the ice edge generated out of the coarser SSM/I microwave data. The result is a product that combines human and algorithmic outputs, deals with gross differences in resolution of the underlying data sets, and results in a useful, operational product.
Keywords :
artificial satellites; edge detection; geophysical image processing; image resolution; image sensors; microwave detectors; microwave imaging; sea ice; weather forecasting; Arctic hemispheric ice edge generation; Arctic winter; NASA team algorithm; OLS data; SSM/I sensor; all-weather image; cloud cover; coarser SSM/I microwave; ice edge product; image resoultion; satellite sensor; sea ice concentration; solar illumination; vessel; wavelength 100 m; wavelength 25 km; wavelength 500 m; Arctic; Image edge detection; Microwave FET integrated circuits; Microwave integrated circuits; Satellites; Sea ice;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Aerospace Conference, 2013 IEEE
Conference_Location :
Big Sky, MT
ISSN :
1095-323X
Print_ISBN :
978-1-4673-1812-9
Type :
conf
DOI :
10.1109/AERO.2013.6496868
Filename :
6496868
Link To Document :
بازگشت