Estimation of snow pack characteristics and snow covered area in boreal forests from ERS-2 SAR and Envisat ASAR data

Estimation of snow pack characteristics and snow covered area in boreal forests from ERS-2 SAR and Envisat ASAR data

Estimation of snow moisture (total liquid water content) and the fraction of snow covered area (SCA) are investigated by applying multi-year ERS-2 SAR and Envisat ASAR data sets. An inversion approach for the moisture retrieval is introduced. The results suggest that C-band radar is operationally fe...

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Bibliographic Details
Published in:IGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing Symposium Vol. 6; pp. 3680 - 3683 vol.6
Main Authors: Pulliainen, J., Luojus, K., Hallikainen, M., Metsamaki, S., Koskinen, J., Kama, J.-P., Huttunen, M., Rasmus, S.
Format: Conference Proceeding
Language:English
Published: Piscataway NJ IEEE 2004
Subjects:
Applied geophysics
Earth sciences
Earth, ocean, space
Exact sciences and technology
Geophysical measurements
Hydrology
Hydrology. Hydrogeology
Internal geophysics
Moisture
Predictive models
Rivers
Satellites
Snow
Space technology
Spaceborne radar
Springs
Weather forecasting
Scandinavia
Finland
time series analysis
Europe
Space remote sensing
ERS
inverse modeling
vegetation
forests
backscattering
synthetic aperture radar
snow
water content
humidity
boreal zone
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Summary:Estimation of snow moisture (total liquid water content) and the fraction of snow covered area (SCA) are investigated by applying multi-year ERS-2 SAR and Envisat ASAR data sets. An inversion approach for the moisture retrieval is introduced. The results suggest that C-band radar is operationally feasible for both applications
ISBN:0780387422
9780780387423
DOI:10.1109/IGARSS.2004.1369918