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Snow Runoff Models Using Remotely Sensed Data

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Part of the book series: NATO Science Series ((ASEN2,volume 72))

Abstract

The paper shows how satellite data can be used to analyse snow coverage in mountainous areas and to use satellite data to drive models of snow melt processes. Snow melt models are mostly based on a degree-day-factor approach which is taken to parameterise energy uptake of the snow cover for melting. Another approach are physically based models with a complete description of the radiation and heat exchange between the snow cover and the boundary layer of the atmosphere including the effects which are related to topography (altitude, slope and aspect) and land cover. An examples of snow coverage classification using a degree-days-approach is given from the Swiss Alps. The analysis of the spatially distributed net radiation as the driving energetic factor of snow melt processes by using satellite data of various sensors (NOAA-AVHRR and LandSat-TM) is documented from a catchment area of the arctic archipelago of Spitsbergen.

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References

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© 2000 Springer Science+Business Media Dordrecht

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Parlow, E. (2000). Snow Runoff Models Using Remotely Sensed Data. In: Buchroithner, M.F. (eds) Remote Sensing for Environmental Data in Albania: A Strategy for Integrated Management. NATO Science Series, vol 72. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-4357-8_14

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  • DOI: https://doi.org/10.1007/978-94-011-4357-8_14

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-0-7923-6528-0

  • Online ISBN: 978-94-011-4357-8

  • eBook Packages: Springer Book Archive

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