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

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

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

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

   We present a methodology which enables reconstructing histor-ical snow-cover pattern using long-term, point-based obser-vations from existing meteorological stations and recent re-motely sensed snow-cover data.

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

   • Publish Year: 2015

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

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

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   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

4. 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.

5. journals.ametsoc.org › view › journalsInterannual Variability in Reconstructed Canadian Snow Cover ...

   journals.ametsoc.org › view › journals

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   Jun 1, 1996 · Abstract. Seasonal snow cover information over southern Canada was reconstructed from daily snowfall and maximum temperature data back to 1915 using a simple mass balance approach with snowmelt estimated via a calibrated temperature index method.

   • Author: Ross D. Brown, Barry E. Goodison

   • Publish Year: 1996

6. changingclimate.ca › CCCR2019 › chapterChapter 5 — Canada’s Changing Climate Report

   changingclimate.ca › CCCR2019 › chapter

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   Snow cover fraction (SCF) decreased across most of Canada during the 1981–2015 period due to delayed snow cover onset in fall and earlier snow melt in spring. Regional and seasonal variability in the SCF trends reflects internal climate variability in surface temperature trends.

7. 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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   Does snow cover change during winter?

   • During mid-winter, there is minimal percentage change in projected snow cover extent because winter temperatures across northern regions of Canada will remain cold enough to sustain snow cover and there is greater climatological snow extent in winter, which results in smaller percentage changes (see Figure 5.5).

   Chapter 5 — Canada’s Changing Climate Report

   changingclimate.ca/CCCR2019/chapter/5-0/

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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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   Why did snow cover fraction decrease in Canada?

   • Snow cover fraction (SCF) decreased across most of Canada during the 1981–2015 period due to delayed snow cover onset in fall and earlier snow melt in spring. Regional and seasonal variability in the SCF trends reflects internal climate variability in surface temperature trends.

   Chapter 5 — Canada’s Changing Climate Report

   changingclimate.ca/CCCR2019/chapter/5-0/

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   Does snow cover decrease in Canada?

   • The portion of the year with snow cover decreased across most of Canada (very high confidence 1) as did the seasonal snow accumulation (medium confidence). Snow cover fraction decreased between 5% and 10% per decade since 1981 due to later snow onset and earlier spring melt.

   Chapter 5 — Canada’s Changing Climate Report

   changingclimate.ca/CCCR2019/chapter/5-0/

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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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8. 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...