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1. • • By merging high-resolution spatial satellite data with long-term station data, snow-cover patterns can be reconstructed for several decades into the past.
     Reference:

     Snow-cover reconstruction methodology for mountainous regions ...

2. People also ask

   How is snow cover reconstructed in mountainous regions?

   • Snow cover in mountainous is reconstructed by combing the Fmask, Sen2Cor and the improved SNOWL algorithms. Snow is an important type of surface cover and an important freshwater resource in the arid regions of northwest China, and optical satellites are an important means for monitoring variation in snow cover.

   An integrated approach to reconstructing snow cover under clouds and

   www.sciencedirect.com/science/article/pii/S0022169423002068

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   Why is snow cover important?

   • Due to the properties of high reflectance, low thermal conductivity, and snowmelt water effect, snow cover plays vital roles in the global energy balance, in hydrological and ecological models, and climate change ( Ault et al., 2006, McCabe and Wolock, 2010 ).

   An integrated approach to reconstructing snow cover under clouds and

   www.sciencedirect.com/science/article/pii/S0022169423002068

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   How accurate is snow cover extraction?

   • It can be seen that the snow cover extraction accuracy in flat surface and shady slope is the highest, and their user accuracy, mapping accuracy, and overall accuracy are all above 79 %, followed by semi-shady slope.

   An integrated approach to reconstructing snow cover under clouds and

   www.sciencedirect.com/science/article/pii/S0022169423002068

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   Is the global snow cover extent declining?

   • Over the last few decades, the global snow cover extent (SCE) has been experiencing a significant decline trend, especially since the 1980s and during the springtime (Robinson and Frei 2000, Déry and Brown 2007, Brown et al 2010, Brown and Robinson 2011, Derksen and Brown 2012, Brutel-Vuilmet et al 2013, Rupp et al 2013 ).

   Attributing snow cover extent changes over the Northern Hemisphere f…

   iopscience.iop.org/article/10.1088/2515-7620/ac03c8

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   Does snow cover in mountainous areas have a spatial heterogeneity?

   • On the one hand, the spatial heterogeneity of snow distribution in mountainous areas is very strong, and the images with coarse spatial resolution cannot describe the snow cover in detail; on the other hand, these images are often saturated with snow pixels, especially on sun-facing slopes ( Zhang et al., 2020 ).

   An integrated approach to reconstructing snow cover under clouds and

   www.sciencedirect.com/science/article/pii/S0022169423002068

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   What factors affect snow cover in mountainous areas?

   • In mountainous areas with complex topography, however, in addition to surface elevation, many other factors will affect the accumulation and ablation of snow cover, such as surface energy balance, windward/leeward position, and slope/aspect, which all cause the strong spatial heterogeneity of snow cover ( Tong et al., 2009 ).

   An integrated approach to reconstructing snow cover under clouds and

   www.sciencedirect.com/science/article/pii/S0022169423002068

   See all results for this question

3. www.mdpi.com › 2072/4292/16-1 › 188Reconstructing Snow Cover under Clouds and Cloud Shadows by ...

   www.mdpi.com › 2072/4292/16-1 › 188

   • Cached

   Jan 2, 2024 · Based on our previously published approach for snow reconstruction on S2 images using the Google Earth Engine (GEE), this study introduces two main innovations to reconstruct snow cover: (1) combining S2 and L8 images and choosing different CCS detection methods, and (2) improving the cloud shadow detection algorithm by considering land cover ...

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4. agupubs.onlinelibrary.wiley.com › doi › fullUsing Commercial Satellite Imagery to Reconstruct 3 m and ...

   agupubs.onlinelibrary.wiley.com › doi › full

   3 days ago · Premier et al. showed that snow cover based reconstruction approaches could be expanded to full seasons with periodic snow accumulation and melt by identifying the dates with high-confidence accumulation, melt, or equilibrium (i.e., no change to SWE) based on in situ and remote sensing observations (Gagliano et al., 2023; Marin et al., 2020 ...

5. tc.copernicus.org › articles › 9/451/2015Snow-cover reconstruction methodology for mountainous regions ...

   tc.copernicus.org › articles › 9/451/2015

   We present a methodology to reconstruct historical snow coverage using recently available remote sensing data and long-term point observations of snow depth from existing meteorological sta-tions. The methodology is mainly based on correlations be-tween station records and spatial snow-cover patterns.

   • Author: A. Gafurov, S. Vorogushyn, D. Farinotti, D. Duethmann, A. Merkushkin, B. Merz

   • Publish Year: 2015

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7. tc.copernicus.org › articles › 9/451/2015TC - Snow-cover reconstruction methodology for mountainous ...

   tc.copernicus.org › articles › 9/451/2015

   • Cached

   Mar 4, 2015 · We present a methodology to reconstruct historical snow coverage using recently available remote sensing data and long-term point observations of snow depth from existing meteorological stations. The methodology is mainly based on correlations between station records and spatial snow-cover patterns.

   • Author: A. Gafurov, S. Vorogushyn, D. Farinotti, D. Duethmann, A. Merkushkin, B. Merz

   • Publish Year: 2015

8. www.sciencedirect.com › science › articleAn integrated approach to reconstructing snow cover under ...

   www.sciencedirect.com › science › article

   Apr 1, 2023 · Snow cover in mountainous is reconstructed by combing the Fmask, Sen2Cor and the improved SNOWL algorithms. Snow is an important type of surface cover and an important freshwater resource in the arid regions of northwest China, and optical satellites are an important means for monitoring variation in snow cover.

9. iopscience.iop.org › article › 10Attributing snow cover extent changes over the Northern ...

   iopscience.iop.org › article › 10

   Jun 1, 2021 · Snow is a crucial component of the cryosphere and its has been experiencing a significant decline for the Northern Hemisphere (NH) (35–90°N) snow cover extent (SCE) in March-April over the 1948–2012 period. However, the causes of this historical snow cover decline are still uncertain.

10. www.researchgate.net › publication › 273384116_Snow(PDF) Snow-cover reconstruction methodology for mountainous ...

    www.researchgate.net › publication › 273384116_Snow

    Mar 4, 2015 · Reconstructed snow cover was cross validated against independent remote sensing data and shows an accuracy of about 85 %. The methodology can be used in mountainous regions to overcome the...