EDO 10-day Snow Masks (based on VIIRS, version 1.0.0)

Description

The Snow Masks used in the European Drought Observatory (EDO) are a collection of time-varying binary spatial layers (one for each 10-day period of the year) used to depict the location and extent of snow on the ground. The input data

for calculating the snow masks is the NASA VNP10A1 product (https://nsidc.org/data/vnp10a1/versions/1). Data values are 0: Snow-free, 1: Snow-covered.

Contact

Email: Alfred.DE-JAGER (at) ec.europa.eu

Contributors

European and Global Drought Observatories, EDO

How to cite

European Commission, Joint Research Centre (JRC) (2024): EDO 10-day Snow Masks (based on VIIRS, version 1.0.0). European Commission, Joint Research Centre (JRC) [Dataset] PID: http://data.europa.eu/89h/cd754e5f-3c71-4487-9a5e-abb878872aca

Keywords

CEMS Combined Drought Indicator (CDI) Copernicus Drought European Drought Observatory (EDO) Snow cover VIIRS

Data access

Inputs of CDI version 4.0.0 test data

Use conditions: Open Data Commons Open Database License v1.0
Access conditions: No limitations

URL

Geographic areas

Europe

Spatial coverage

GML

<gml:Polygon xmlns:gml="http://www.opengis.net/gml">  <gml:outerBoundaryIs>    <gml:LinearRing>      <gml:coordinates>-25,72 51,72 51,22 -25,22 -25,72</gml:coordinates>    </gml:LinearRing>  </gml:outerBoundaryIs></gml:Polygon>

GML

<gml:Polygon xmlns:gml="http://www.opengis.net/gml/3.2">  <gml:exterior>    <gml:LinearRing>      <gml:posList>-25 72 51 72 51 22 -25 22 -25 72</gml:posList>    </gml:LinearRing>  </gml:exterior></gml:Polygon>

WKT

POLYGON ((-25 72, 51 72, 51 22, -25 22, -25 72))

Temporal coverage

From date	To date
2012-01-01	N/A

Additional information

Published by: European Commission, Joint Research Centre
Created date: 2024-03-25
Modified date: 2024-03-26
Issued date: 2024-03-25
Landing page: https://edo.jrc.ec.europa.eu/tumbo/edo/map/
Language(s): English
Data theme(s): Environment
Update frequency: three times a month
Identifier: http://data.europa.eu/89h/cd754e5f-3c71-4487-9a5e-abb878872aca
Popularity