DocumentCode :
1357395
Title :
Monitoring of seasonal thawing in Siberia with ERS scatterometer data
Author :
Wismann, Volkmar
Author_Institution :
Inst. for Appl. Remote Sensing, Freiburg, Germany
Volume :
38
Issue :
4
fYear :
2000
fDate :
7/1/2000 12:00:00 AM
Firstpage :
1804
Lastpage :
1809
Abstract :
Information on seasonal freeze-thaw cycle of soil and vegetation is of great interest for climate modeling and understanding the fluxes of heat, moisture and gases like carbon dioxide between the land surface and the atmosphere. Radar measurements have a great potential to provide this information, because at microwave frequencies, the dielectric properties vary considerably when going from the frozen to the thawed state. A technique was developed to retrieve the date of the transition from the frozen to thawed state based on measurements of the normalized radar cross section of the Earth´s surface by the ERS scatterometers. This technique was applied to the data obtained over Siberia for the years 1992 to 1999. The date of thawing varies locally by one month, which is about 30% of the duration of the overall thawing process in Siberia. Also, the extent of the thawed area varies considerably by up to 3×106 km2 from year to year for a given date. The presented results demonstrate the great potential of C-band scatterometer data for monitoring the thawing of soil and vegetation and associated processes for climatological studies
Keywords :
geophysical techniques; hydrological techniques; ice; remote sensing by radar; spaceborne radar; terrain mapping; AD 1992 to 1999; C-band; ERS scatterometer; Russia; Siberia; atmosphere; freeze-thaw cycle; geophysical measurement technique; hydrology; ice; land surface; meteorology; radar remote sensing; radar scatterometry; season; seasonal thawing; spaceborne radar; temperature; terrain mapping; thaw; Atmosphere; Atmospheric modeling; Carbon dioxide; Gases; Land surface; Moisture; Monitoring; Radar measurements; Soil; Vegetation;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/36.851764
Filename :
851764
Link To Document :
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