DocumentCode
1507016
Title
Cryosphere applications of NSCAT data
Author
Long, David G. ; Drinkwater, Mark R.
Author_Institution
Dept. of Electr. & Comput. Eng., Brigham Young Univ., Provo, UT, USA
Volume
37
Issue
3
fYear
1999
fDate
5/1/1999 12:00:00 AM
Firstpage
1671
Lastpage
1684
Abstract
Though designed to measure vector winds over the ocean, new imaging techniques facilitate the use of NASA scatterometer data (NSCAT) in cryosphere studies. NSCAT provides data of unprecedented coverage, resolution, and quality which, when coupled with the scatterometer image reconstruction with filtering (SIRF) algorithm, enables images of σo at resolutions approaching 8 km over stationary targets. Such images are useful in ice mapping and classification, and multidecadal studies are possible by comparison with Seasat Scatterometer (SASS) data. The utility of NSCAT data in polar ice studies is illustrated through a review of two cryosphere applications of NSCAT data: (1) sea-ice mapping and tracking and (2) ice-sheet change in Greenland and Antarctica. The wide swath and frequent revisit, coupled with incidence and azimuth angle diversity makes NSCAT data very effective in mapping the extent of sea-ice. In Greenland, snow and ice “facies” are clearly delineated on the basis of the seasonally dependent radar backscattering cross section, due to sensitivity of radar backscatter to diagenetic changes occurring at and beneath the surface. Comparison of NSCAT and SASS data enables study of change in Greenland between 1978 and 1996
Keywords
glaciology; hydrological techniques; oceanographic techniques; remote sensing by radar; sea ice; snow; spaceborne radar; Antarctica; Greenland; NASA scatterometer; NSCAT; SIRF; hydrology; ice classification; ice mapping; ocean; polar ice; polar ice sheet; radar remote sensing; radar scatterometry; satellite remote sensing; scatterometer image reconstruction with filtering algorithm; sea ice; snow cover; snowcover; snowpack; spaceborne radar; Backscatter; Filtering; Image reconstruction; Image resolution; NASA; Oceans; Radar cross section; Radar measurements; Sea ice; Sea measurements;
fLanguage
English
Journal_Title
Geoscience and Remote Sensing, IEEE Transactions on
Publisher
ieee
ISSN
0196-2892
Type
jour
DOI
10.1109/36.763287
Filename
763287
Link To Document