NERC Data Catalogue Service
ESA Snow Climate Change Initiative (Snow_cci): Daily global Snow Cover Fraction - viewable (SCFV) from AVHRR (1982 - 2019), version 1.0
This dataset contains Daily Snow Cover Fraction of viewable snow from AVHRR, produced by the Snow project of the ESA Climate Change Initiative programme.
Snow cover fraction viewable (SCFV) indicates the area of snow viewable from space over land surfaces. In forested areas this refers to snow viewable on top of the forest canopy. The SCFV is given in percentage (%) per pixel.
The global SCFV product is available at about 5 km pixel size for all land areas, excluding Antarctica and Greenland ice sheets. The coastal zones of Greenland are included.
The SCFV time series provides daily products for the period 1982-2019.
The product is based on medium resolution optical satellite data from the Advanced Very High Resolution Radiometer (AVHRR). Clouds are masked using the Cloud CCI cloud v3.0 mask product.
The retrieval method of the snow_cci SCFV product from AVHRR data has been further developed and improved based on the ESA GlobSnow approach described by Metsämäki et al. (2015) and complemented with a pre-classification module. All cloud free pixels are then used for the snow extent mapping, using spectral bands centred at about 630 nm and 1.61 µm (channel 3a or the reflective part of channel 3b), and an emissive band centred at about 10.8 µm. The snow_cci snow cover mapping algorithm is a two-step approach: first, a strict pre-classification is applied to identify all cloud free pixels which are certainly snow free. For all remaining pixels, the snow_cci SCFV retrieval method is applied.
The following auxiliary data set is used for product generation: ESA CCI Land Cover from 2000; water bodies and permanent snow and ice areas are masked based on this dataset. Both classes were separately aggregated to the pixel spacing of the SCF product. Water areas are masked if more than 50 percent of the pixel is classified as water, permanent snow and ice areas are masked if more than 50 percent are identified as such areas in the aggregated map.
The SCFV product is aimed to serve the needs for users working in the cryosphere and climate research and monitoring activities, including the detection of variability and trends, climate modelling and aspects of hydrology, meteorology and biology.
The Remote Sensing Research Group of the University of Bern is responsible for the SCFV product development and generation. ENVEO developed and prepared all auxiliary data sets used for the product generation.
The SCFV AVHRR product comprises one longer data gap of 92 between November 1994 and January 1995, and 16 individual daily gaps, resulting in a 99% data coverage over the entire study period of 38 years.
Default
Identification info
- Metadata Language
- English (en)
- Dataset Reference Date ()
- 2021-05-10T10:59:37
- Dataset Reference Date ()
- 2021-05-10T10:59:37
- Identifier
- NERC EDS Centre for Environmental Data Analysis / d9df331e346f4a50b18bcf41a64b98c7
- Identifier
- doi / 10.5285/d9df331e346f4a50b18bcf41a64b98c7
- Maintenance and update frequency
- notPlanned
- Update scope
- dataset
- Keywords
- GEMET - INSPIRE themes, version 1.0 ()
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- orthoimagery
- Limitations on Public Access
- otherRestrictions
- Other constraints
- Public data: access to these data is available to both registered and non-registered users.
- Use constraints
- otherRestrictions
- Spatial representation type
- grid
- Topic category
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- Imagery base maps earth cover
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- Begin date
- 1982-01-01T00:00:00
- End date
- 2019-12-31T23:59:59
- Code
- WGS 84
Distribution Information
- Data format
-
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Data are netCDF formatted.
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Data are netCDF formatted.
()
- Resource Locator
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CEDA Data Catalogue Page
Detail and access information for the resource
- Resource Locator
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DOWNLOAD
Download Data
- Resource Locator
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Devasthale, A. et al. PyGac: An open-source, community-driven Python interface to preprocess nearly 40-year AVHRR Global Area Coverage (GAC) data record. Quarterly 11, 3–5 (2017).
No further details.
- Resource Locator
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Metsämäki, S., Pulliainen, J., Salminen, M., Luojus, K., Wiesmann, A., Solberg R. and Ripper, E. 2015. Introduction to GlobSnow Snow Extent products with considerations for accuracy assessment. Remote Sensing of Environment, 156, 96–108.
No further details.
- Resource Locator
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Hansen, M. C. et al. 2013. “High-Resolution Global Maps of 21st-Century Forest Cover Change.” Science 342 (15 November): 850–53. Data available online from http://earthenginepartners.appspot.com/science-2013-global-forest
No further details.
- Resource Locator
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ESA Land Cover CCI project team; Defourny, P. (2019): ESA Land Cover Climate Change Initiative (Land_Cover_cci): Global Land Cover Maps, Version 2.0.7. Centre for Environmental Data Analysis, 13.04.2021
No further details.
- Resource Locator
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Cloud CCI v3.0 documents
No further details.
- Resource Locator
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ESA Climate Change Initiative website
No further details.
- Resource Locator
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Product User Guide
No further details.
- Resource Locator
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ESA CCI Snow key documents
No further details.
- Resource Locator
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ESA CCI Snow project website
No further details.
- Resource Locator
-
CEDA Data Catalogue Page
Detail and access information for the resource
- Resource Locator
-
DOWNLOAD
Download Data
- Resource Locator
-
Devasthale, A. et al. PyGac: An open-source, community-driven Python interface to preprocess nearly 40-year AVHRR Global Area Coverage (GAC) data record. Quarterly 11, 3–5 (2017).
No further details.
- Resource Locator
-
Metsämäki, S., Pulliainen, J., Salminen, M., Luojus, K., Wiesmann, A., Solberg R. and Ripper, E. 2015. Introduction to GlobSnow Snow Extent products with considerations for accuracy assessment. Remote Sensing of Environment, 156, 96–108.
No further details.
- Resource Locator
-
Hansen, M. C. et al. 2013. “High-Resolution Global Maps of 21st-Century Forest Cover Change.” Science 342 (15 November): 850–53. Data available online from http://earthenginepartners.appspot.com/science-2013-global-forest
No further details.
- Resource Locator
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ESA Land Cover CCI project team; Defourny, P. (2019): ESA Land Cover Climate Change Initiative (Land_Cover_cci): Global Land Cover Maps, Version 2.0.7. Centre for Environmental Data Analysis, 13.04.2021
No further details.
- Resource Locator
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Cloud CCI v3.0 documents
No further details.
- Resource Locator
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ESA Climate Change Initiative website
No further details.
- Resource Locator
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Product User Guide
No further details.
- Resource Locator
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ESA CCI Snow key documents
No further details.
- Resource Locator
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ESA CCI Snow project website
No further details.
- Quality Scope
- dataset
Report
- Dataset Reference Date ()
- 2010-12-08
- Statement
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The snow_cci SCFV product based on AVHRR was developed and processed at the University of Bern in the frame of ESA CCI+ Snow project. The AVHRR baseline FCDR was pre-processed using pyGAC and pySTAT in the frame of the ESA CCI Cloud project (Devasthale et al. 2017, Stengel et al. 2020).
The final product is quality checked.
Metadata
- File identifier
- d9df331e346f4a50b18bcf41a64b98c7 XML
- Metadata Language
- English (en)
- Character set
- 8-bit variable size UCS Transfer Format, based on ISO/IEC 10646
- Resource type
- dataset
- Metadata Date
- 2022-12-23T00:09:44
- Metadata standard name
- UK GEMINI
- Metadata standard version
- 2.3
