1995 International Geoscience and Remote Sensing Symposium, IGARSS '95. Quantitative Remote Sensing for Science and Application
DOI: 10.1109/igarss.1995.524020
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Monitoring Swiss alpine snow cover variations using digital NOAA-AVHRR data

Abstract: Within a research project and the programm for a Hydrologic Atlas of Switzerland, charts of the extent and the variations of the snow cover in Switzerland for two hydrologically and meteorologically different years were derived from digital NOAA-AVHRR data. During the two years, 32 satellite scenes were classified using supervised classification techniques. For the generation of the snow cover charts, up to 12 categories (several sub-categories for vegetation, water, snow, and clouds) were used. The final resu… Show more

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Cited by 4 publications
(2 citation statements)
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“…Regional SLA and its inter-and intra-annual variability are key characteristics that indicate temporal variation in snow cover and duration of snow melt, and help in assessing the hydrologic cycle balance [15]. For the estimation of snow-covered area and its temporal evolution, SLA can be used as an input for hydrological modeling or validation of snow model simulations [16,17]. Besides, SLA estimates can be applied to remove clouds from satellite snow cover products [18,19].…”
Section: Introductionmentioning
confidence: 99%
“…Regional SLA and its inter-and intra-annual variability are key characteristics that indicate temporal variation in snow cover and duration of snow melt, and help in assessing the hydrologic cycle balance [15]. For the estimation of snow-covered area and its temporal evolution, SLA can be used as an input for hydrological modeling or validation of snow model simulations [16,17]. Besides, SLA estimates can be applied to remove clouds from satellite snow cover products [18,19].…”
Section: Introductionmentioning
confidence: 99%
“…The concept of snowline estimation varies with the applications. In hydrological applications, the snowline is identified as the boundary separating snow-covered areas from snow-free areas (Kaur et al, 2010;Parker, 1997;Seidel et al, 1997), for estimation of snow covered area and its temporal evolution, which is hence used as an input for hydrological modeling (Holzer et al, 1995;Martinec et al, 2008), or for validation of snow model simulations (Turpin et al, 1997;Zappa, 2008). And, the snowline altitude estimates have also been applied as an alternative method for cloud removal in satellite snow cover products (Gafurov and Bárdossy, 2009;Parajka et al, 2010).…”
Section: Introductionmentioning
confidence: 99%