ESA Snow Climate Change Initiative (Snow_cci): Daily global Snow Cover Fraction - snow on ground (SCFG) from ATSR-2 (dates), version 1.0
This dataset contains Daily Snow Cover Fraction (snow on ground) from ATSR-2, produced by the Snow project of the ESA Climate Change Initiative programme.
Snow cover fraction on ground (SCFG) indicates the area of snow observed from space over land surfaces, in forested areas corrected for the transmissivity of the forest canopy. The SCFG is given in percentage (%) per pixel.
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Public data: access to these data is available to both registered and non-registered users.
Use of these data is covered by the following licence: http://artefacts.ceda.ac.uk/licences/specific_licences/esacci_snow_terms_and_conditions.pdf. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
The snow_cci SCFG 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).
Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).
The unbiased root mean square error per-pixel is added as an uncertainty layer in the product. The AVHRR based SCFG product matches the CCI data standards version 2.2, released in May 2020.
|Advanced Very High Resolution Radiometer 2 (AVHRR/2)||Deployed on: NOAA-7|
|Advanced Very High Resolution Radiometer 2 (AVHRR/2)||Deployed on: NOAA-9|
|Advanced Very High Resolution Radiometer 2 (AVHRR/2)||Deployed on: NOAA-11|
|Advanced Very High Resolution Radiometer 2 (AVHRR/2)||Deployed on: NOAA-14|
|AVHRR-3||Deployed on: NOAA-16|
|AVHRR-3||Deployed on: NOAA-18|
|AVHRR-3||Deployed on: NOAA-19|
Computation Element: 1
|Title||ESA Snow Climate Change Initiative: Derivation of SCFG AVHRR v1 product.|
|Abstract||The retrieval method of the snow_cci SCFG 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 SCFG retrieval method is applied. The following auxiliary data sets are used for product generation: i) 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; ii) Forest canopy transmissivity map; this layer is based on the tree cover classes of the ESA CCI Land Cover 2000 data set and the tree cover density map from Landsat data for the year 2000 (Hansen et al., Science, 2013, DOI: 10.1126/science.1244693). This layer is used to apply a forest canopy correction and estimate in forested areas the fractional snow cover on ground.|