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<https://climate.esa.int/media/documents/Snow_cci_D4.2_CRDP_v4.0.pdf>
        a                foaf:Document ;
        dct:description  "No further details."@en ;
        dct:title        "Climate Research Data Package"@en .

<https://climate.esa.int/projects/snow/>
        a                foaf:Document ;
        dct:description  "No further details."@en ;
        dct:title        "ESA CCI Snow project website"@en .

<https://catalogue.ceda.ac.uk/uuid/b382ebe6679d44b8b0e68ea4ef4b701c>
        a                foaf:Document ;
        dct:description  "No further details."@en ;
        dct:title        "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"@en .

<https://catalogue.ceda.ac.uk/uuid/56ff07acabab42888afe2d20b488ec49>
        a                foaf:Document ;
        dct:description  "Detail and access information for the resource"@en ;
        dct:title        "CEDA Data Catalogue Page"@en .

<https://fedeo.ceos.org/collections/56ff07acabab42888afe2d20b488ec49?httpAccept=application/vnd.iso.19139-2%2Bxml>
        a               dcat:CatalogRecord ;
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<https://climate.esa.int/projects/snow/snow-key-documents/>
        a                foaf:Document ;
        dct:description  "No further details."@en ;
        dct:title        "ESA CCI Snow key documents"@en .

<https://doi.org/10.7289/V5R78CFR>
        a                foaf:Document ;
        dct:description  "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."@en ;
        dct:title        "Devasthale, A. et al. PyGac: An open"@en .

<https://climate.esa.int/media/documents/CCI_DataStandards_v2-3.pdf>
        a                foaf:Document ;
        dct:description  "No further details."@en ;
        dct:title        "ESA CCI Data Standards"@en .

<https://snow-cci.enveo.at/>
        a                foaf:Document ;
        dct:description  "No further details."@en ;
        dct:title        "Snow CCI ENVEO homepage"@en .

<https://climate.esa.int>
        a                foaf:Document ;
        dct:description  "No further details."@en ;
        dct:title        "ESA Climate Change Initiative website"@en .

<https://doi.org/10.1016/j.rse.2014.09.018>
        a                foaf:Document ;
        dct:description  "No further details."@en ;
        dct:title        "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."@en .

<https://climate.esa.int/media/documents/Snow_cci_D4.3_PUG_v4.0.pdf>
        a                foaf:Document ;
        dct:description  "No further details."@en ;
        dct:title        "Product User Guide"@en .

<https://science.sciencemag.org/content/342/6160/850>
        a                foaf:Document ;
        dct:description  "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."@en ;
        dct:title        "Hansen, M. C. et al. 2013. “High"@en .

<https://doi.org/10.5194/essd-12-41-2020>
        a                foaf:Document ;
        dct:description  "PM) dataset version 3: 35-year climatology of global cloud and radiation properties. Earth Syst. Sci. Data 12, 41–60 (2020). - No further details."@en ;
        dct:title        "Stengel, M. et al. Cloud_cci Advanced Very High Resolution Radiometer post meridiem (AVHRR"@en .

<https://gcmd.earthdata.nasa.gov/kms/concept/8ef6560e-c699-49b4-bcb3-6db68506ca22>
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<https://climate.esa.int/projects/cloud/key-documents>
        a                foaf:Document ;
        dct:description  "No further details."@en ;
        dct:title        "Cloud CCI v3.0 documents"@en .

<https://fedeo.ceos.org/collections/56ff07acabab42888afe2d20b488ec49>
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        dct:description            "This dataset contains Daily Snow Cover Fraction (snow on ground) from AVHRR, 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. The global SCFG 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 SCFG time series provides daily products for the period 1979-2022. The product is based on medium resolution optical satellite data from the Advanced Very High Resolution Radiometer (AVHRR). Clouds are masked using the CLARA-A3 cloud product. 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 0.63 µm and 1.61 µm (channel 3a or the reflective part of channel 3b (ref3b)), and an emissive band centred at about 10.8 µm. The snow_cci snow cover mapping algorithm is a three-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. Finally, a post-processing removes erroneous snow pixels caused either by falsely classified clouds in the tropics or by unreliable ref3b values at a global scale. 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.The SCFG product is aimed to serve the needs of users working in 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, in cooperation with Gamma Remote Sensing is responsible for the SCFG product development and generation. ENVEO (ENVironmental Earth Observation IT GmbH) developed and prepared all auxiliary data sets used for the product generation.The SCFG AVHRR product comprises a few data gaps in 1979 – 1986 (1979: 22.-24.Feb.; 01.-07.Oct.; 03.-04.Nov.; 07.Nov.; 17.-18.Nov.; 1980: 22.-27.Feb.; 01.March; 03.March; 15.-20.March; 30.March – 02.April; 26.-29.June; 12.-19.July; 12.-18.Dec.; 1981: 09.-11.May; 01.-03.Aug.; 14.-23.Aug.; 1982: 28.- 31.May; 25.-26. Oct.; 1983: 27.- 31. July; 01.- 02. and 06. Aug.; 1984: 14.-15.Jan.; 06. Dec.; 1985: 01.- 24.Feb; 1986: 15. March), resulting in a 99% data coverage over the entire study period of 43 years." ;
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<https://doi.org/10.5194/tc-15-4261-2021>
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        dct:description  "4279. Copernicus Publications - No further details."@en ;
        dct:title        "Wu, Xiaodan; Naegeli, Kathrin; Premier, Valentina; Marin, Carlo; Ma, Dujuan; Wang, Jingping; Wunderle, Stefan (2021). Evaluation of snow extent time series derived from Advanced Very High Resolution Radiometer global area coverage data (1982–2018) in the Hindu Kush Himalayas. The Cryosphere, 15(9), pp. 4261"@en .