ESA Snow Climate Change Initiative (Snow_cci): Daily global Snow Cover Fraction - viewable snow (SCFV) from MODIS (2000 - 2020), version 2.0
type: Dataset
license: LicenseDocument
  label: Under the following licence https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_snow_terms_and_conditions.pdf, appropriate use of these data may fall under any use. This message is intended as guidance, always read the full licence. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
qualified relation: OGC 17-084r1 metadata
  type: Relationship
  had role: http://www.iana.org/assignments/relation/alternate
  relation: https://fedeo.ceos.org/collections/ebe625b6f77945a68bda0ab7c78dd76b
  format: application/geo+json;profile="http://www.opengis.net/spec/eoc-geojson/1.0"
qualified attribution: Attribution
  agent: Organization
    has name: CEDA
    has address: Address
      street-address: RAL Space, STFC Rutherford Appleton Laboratory, Harwell Campus
      postal-code: OX11 0QX
      locality: Didcot
      country-name: United Kingdom
  had role: custodian
qualified relation: ISO 19139-2 metadata
  type: Relationship
  had role: http://www.iana.org/assignments/relation/alternate
  relation: https://fedeo.ceos.org/collections/ebe625b6f77945a68bda0ab7c78dd76b
  format: application/vnd.iso.19139-2+xml
language: EN
type: http://inspire.ec.europa.eu/metadata-codelist/ResourceType/series
qualified relation: HTML
  type: Relationship
  had role: http://www.iana.org/assignments/relation/alternate
  relation: https://fedeo.ceos.org/collections/ebe625b6f77945a68bda0ab7c78dd76b
  format: text/html
access rights: Public data: access to these data is available to both registered and non-registered users. http://inspire.ec.europa.eu/metadata-codelist/LimitationsOnPublicAccess/noLimitations
qualified relation: RDF/XML (schema.org) metadata
  type: Relationship
  had role: http://www.iana.org/assignments/relation/alternate
  relation: https://fedeo.ceos.org/collections/ebe625b6f77945a68bda0ab7c78dd76b
  format: application/rdf+xml;profile="https://schema.org"
description: This dataset contains Daily Snow Cover Fraction of viewable snow from the MODIS satellite instruments, 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 all 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 1 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 2000 â 2020. The SCFV product is based on Moderate resolution Imaging Spectroradiometer (MODIS) data on-board the Terra satellite. The retrieval method of the Snow_cci SCFV product from MODIS data has been further developed and improved based on the ESA GlobSnow approach described by MetsÃ¤mÃ¤ki et al. (2015) and complemented with a pre-classification module developed by ENVEO. For the SCFV product generation from MODIS, multiple reflective and emissive spectral bands are used. In a first step, clouds are masked using an adapted version of the Simple Cloud Detection Algorithm version 2.0 (SCDA2.0) (MetsÃ¤mÃ¤ki et al., 2015). All cloud free pixels are then used for the snow extent mapping, using spectral bands centred at about 0.55 Âµm and 1.6 Âµm, and an emissive band centred at about 11 Âµm. 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 main differences of the Snow_cci snow cover mapping algorithm compared to the GlobSnow algorithm described in MetsÃ¤mÃ¤ki et al. (2015) are (i) improvements of the cloud screening approach applicable on a global scale, (ii) the pre-classification of snow free areas on global land areas, (iii) the …
temporal: PeriodOfTime
  start date: 2000-02-24T00:00:00Z
  end date: 2020-12-31T23:59:59Z
qualified relation: ISO 19139 metadata
  type: Relationship
  had role: http://www.iana.org/assignments/relation/alternate
  relation: https://fedeo.ceos.org/collections/ebe625b6f77945a68bda0ab7c78dd76b
  format: application/vnd.iso.19139+xml
keyword: CCI
keyword: ESA
qualified relation: Atom format
  type: Relationship
  had role: http://www.iana.org/assignments/relation/alternate
  relation: https://fedeo.ceos.org/collections/ebe625b6f77945a68bda0ab7c78dd76b
  format: application/atom+xml
access URL: http://data.ceda.ac.uk/neodc/esacci/snow/data/scfv/MODIS/v2.0/
keyword: Snow Cover Fraction
modified: 2000-02-24T00:00:00Z
keyword: Snow
qualified relation: STAC metadata
  type: Relationship
  had role: http://www.iana.org/assignments/relation/alternate
  relation: https://fedeo.ceos.org/collections/ebe625b6f77945a68bda0ab7c78dd76b
  format: application/json
qualified relation: Relationship
  had role: https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#DS_AssociationTypeCode_crossReference
  relation:
    identifier: Identifier
      notation: Salminen, M., Pulliainen, J., MetsÃ¤mÃ¤ki, S., Ikonen, J., HeinilÃ¤, K. (2018). Determination of uncertainty characteristics for the satellite
      creator: https://doi.org/
    title: Salminen, M., Pulliainen, J., MetsÃ¤mÃ¤ki, S., Ikonen, J., HeinilÃ¤, K. (2018). Determination of uncertainty characteristics for the satellite-based estimation of fractional snow cover. Remote Sensing Environ., 212, 103-113. https://doi.org/10.1016/j.rse.2018.04.038
qualified relation: DIF-10 metadata
  type: Relationship
  had role: http://www.iana.org/assignments/relation/alternate
  relation: https://fedeo.ceos.org/collections/ebe625b6f77945a68bda0ab7c78dd76b
  format: application/dif10+xml
endpoint description: https://fedeo.ceos.org/collections/series/items/ebe625b6f77945a68bda0ab7c78dd76b/api
keyword: orthoimagery
qualified relation: Relationship
  had role: https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#DS_AssociationTypeCode_crossReference
  relation:
    identifier: Identifier
      notation: https://doi.org/10.1016/j.rse.2014.09.018
      creator: https://doi.org/
    title: MetsÃ¤mÃ¤ki, 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, 96â108
qualified relation: RDF/XML (GeoDCAT-AP) metadata
  type: Relationship
  had role: http://www.iana.org/assignments/relation/alternate
  relation: https://fedeo.ceos.org/collections/ebe625b6f77945a68bda0ab7c78dd76b
  format: application/rdf+xml;profile="http://data.europa.eu/930/"
qualified relation: Dublin Core metadata
  type: Relationship
  had role: http://www.iana.org/assignments/relation/alternate
  relation: https://fedeo.ceos.org/collections/ebe625b6f77945a68bda0ab7c78dd76b
  format: application/xml
spatial: Location
  geometry: <gml:Envelope srsName="http://www.opengis.net/def/crs/OGC/1.3/CRS84"><gml:lowerCorner>-180.0 -90.0</gml:lowerCorner><gml:upperCorner>180.0 90.0</gml:upperCorner></gml:Envelope>
qualified relation: JSON-LD metadata
  type: Relationship
  had role: http://www.iana.org/assignments/relation/alternate
  relation: https://fedeo.ceos.org/collections/ebe625b6f77945a68bda0ab7c78dd76b
  format: application/ld+json
qualified relation: Turtle (schema.org) metadata
  type: Relationship
  had role: http://www.iana.org/assignments/relation/alternate
  relation: https://fedeo.ceos.org/collections/ebe625b6f77945a68bda0ab7c78dd76b
  format: text/turtle;profile="https://schema.org"
qualified relation: OGC 17-069r3 metadata
  type: Relationship
  had role: http://www.iana.org/assignments/relation/alternate
  relation: ESA Snow Climate Change Initiative (Snow_cci): Daily global Snow Cover Fraction - viewable snow (SCFV) from MODIS (2000 - 2020), version 2.0
  format: application/geo+json;profile="http://www.opengis.net/spec/ogcapi-features-1/1.0"
contact point: Organization
  has name: CEDA
  has address: Address
    street-address: RAL Space, STFC Rutherford Appleton Laboratory, Harwell Campus
    postal-code: OX11 0QX
    locality: Didcot
    country-name: United Kingdom
qualified relation: Turtle (GeoDCAT-AP) metadata
  type: Relationship
  had role: http://www.iana.org/assignments/relation/alternate
  relation: https://fedeo.ceos.org/collections/ebe625b6f77945a68bda0ab7c78dd76b
  format: text/turtle;profile="http://data.europa.eu/930/"
qualified relation: JSON-LD (GeoDCAT-AP) metadata
  type: Relationship
  had role: http://www.iana.org/assignments/relation/alternate
  relation: https://fedeo.ceos.org/collections/ebe625b6f77945a68bda0ab7c78dd76b
  format: application/ld+json;profile="http://data.europa.eu/930/"
qualified relation: Turtle metadata
  type: Relationship
  had role: http://www.iana.org/assignments/relation/alternate
  relation: https://fedeo.ceos.org/collections/ebe625b6f77945a68bda0ab7c78dd76b
  format: text/turtle
qualified relation: ISO 19115-3 metadata
  type: Relationship
  had role: http://www.iana.org/assignments/relation/alternate
  relation: https://fedeo.ceos.org/collections/ebe625b6f77945a68bda0ab7c78dd76b
  format: application/vnd.iso.19115-3+xml
qualified relation: JSON-LD (schema.org) metadata
  type: Relationship
  had role: http://www.iana.org/assignments/relation/alternate
  relation: https://fedeo.ceos.org/collections/ebe625b6f77945a68bda0ab7c78dd76b
  format: application/ld+json;profile="https://schema.org"

EARTH SCIENCE>CLIMATE INDICATORS>CRYOSPHERIC INDICATORS>SNOW COVER
type: Concept
in scheme: https://gcmd.earthdata.nasa.gov/kms/concepts/concept_scheme/sciencekeywords

MODIS Characterization Support Team, MODIS Adaptive Processing System, 2012. Level 1 and Atmosphere Archive and Distribution System (LAADS): MOD021KM
type: Document
description: No further details.

ESA CCI Snow project website
type: Document
description: No further details.

CEDA Data Catalogue Page
type: Document
description: Detail and access information for the resource

Product User Guide
type: Document
description: No further details.

j.rse.2014.09.018
type: Document
title: MetsÃ¤mÃ¤ki, 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, 96â108
description: No further details.

ESA CCI data standards
type: Document
description: No further details.

CatalogRecord
modified: 2026-08-05T00:53:58Z
conforms to: https://joinup.ec.europa.eu/release/geodcat-ap/20

https://fedeo.ceos.org/collections/ebe625b6f77945a68bda0ab7c78dd76b
type: CatalogRecord
conforms to: ISO19139-2

ESA CCI Snow key documents
type: Document
description: No further details.

Salminen, M., Pulliainen, J., MetsÃ¤mÃ¤ki, S., Ikonen, J., HeinilÃ¤, K. (2018). Determination of uncertainty characteristics for the satellite
type: Document
description: based estimation of fractional snow cover. Remote Sensing Environ., 212, 103-113. https://doi.org/10.1016/j.rse.2018.04.038 - No further details.

MODIS Characterization Support Team, MODIS Adaptive Processing System, 2012. Level 1 and Atmosphere Archive and Distribution System (LAADS): MOD03
type: Document
description: No further details.

https://catalogue.ceda.ac.uk/uuid/b382ebe6679d44b8b0e68ea4ef4b701c
type: Document
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
description: No further details.

ESA Climate Change Initiative Website
type: Document
description: No further details.