DocumentCode :
291664
Title :
Capability of radar and microwave radiometer to classify snow types in forested areas
Author :
Koskinen, Jarkko ; Kurvonen, Lauri ; Jääskeläinen, Ville ; Hallikainen, Martti
Author_Institution :
Lab. of Space Technol., Helsinki Univ. of Technol., Espoo, Finland
Volume :
3
fYear :
1994
fDate :
8-12 Aug 1994
Firstpage :
1283
Abstract :
The authors have organized several airborne campaigns with their dual-frequency scatterometer and multifrequency radiometer under various snow conditions. These data are complemented with ERS-1 SAR images of the same test site. The effect of land use categories (especially forests) to the snow mapping capability of radar and radiometer has been investigated
Keywords :
atmospheric techniques; hydrological techniques; image classification; microwave measurement; radar applications; radar imaging; radiometry; remote sensing; remote sensing by radar; snow; spaceborne radar; synthetic aperture radar; ERS-1; SAR image; atmosphere; dual-frequency scatterometer; forest; forested areas; hydrology; image classification; measurement technique; meteorology; microwave radiometry; multifrequency radiometer; radar remote sensing; snow cover snowpack; snow mapping; snow type; trees; Microwave radiometry; Radar measurements; Radar remote sensing; Remote monitoring; Snow; Soil measurements; Space technology; Spaceborne radar; Testing; Vegetation mapping;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1994. IGARSS '94. Surface and Atmospheric Remote Sensing: Technologies, Data Analysis and Interpretation., International
Conference_Location :
Pasadena, CA
Print_ISBN :
0-7803-1497-2
Type :
conf
DOI :
10.1109/IGARSS.1994.399417
Filename :
399417
Link To Document :
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