Global SnowPack - MODIS - Daily

This product shows globally the daily snow cover extent (SCE). The snow cover extent is the result of the Global SnowPack processor's interpolation steps and all data gaps have been filled. Snow cover extent is updated daily and processed in near real time (3 days lag). In addition to the near real-time product (NRT_SCE), the entire annual data set is processed again after the end of a calendar year in order to close data gaps etc. and the result is made available as a quality-tested SCE product. There is also a quality layer for each day (SCE_Accuracy), which reflects the quality of the snow determination based on the time interval to the next "cloud-free" day, the time of year and the topographical/geographical location.

The “Global SnowPack” is derived from daily, operational MODIS snow cover product for each day since February 2000. Data gaps due to polar night and cloud cover are filled in several processing steps, which provides a unique global data set characterized by its high accuracy, spatial resolution of 500 meters and continuous future expansion. It consists of the two main elements daily snow cover extent (SCE) and seasonal snow cover duration (SCD; full and for early and late season). Both parameters have been designated by the WMO as essential climate variables, the accurate determination of which is important in order to be able to record the effects of climate change. Changes in the largest part of the cryosphere in terms of area have drastic effects on people and the environment.

For more information please also refer to:

Dietz, A.J., Kuenzer, C., Conrad, C., 2013. Snow-cover variability in central Asia between 2000 and 2011 derived from improved MODIS daily snow-cover products. International Journal of Remote Sensing 34, 3879–3902. https://doi.org/10.1080/01431161.2013.767480

Dietz, A.J., Kuenzer, C., Dech, S., 2015. Global SnowPack: a new set of snow cover parameters for studying status and dynamics of the planetary snow cover extent. Remote Sensing Letters 6, 844–853. https://doi.org/10.1080/2150704X.2015.1084551

Dietz, A.J., Wohner, C., Kuenzer, C., 2012. European Snow Cover Characteristics between 2000 and 2011 Derived from Improved MODIS Daily Snow Cover Products. Remote Sensing 4. https://doi.org/10.3390/rs4082432

Dietz, J.A., Conrad, C., Kuenzer, C., Gesell, G., Dech, S., 2014. Identifying Changing Snow Cover Characteristics in Central Asia between 1986 and 2014 from Remote Sensing Data. Remote Sensing 6. https://doi.org/10.3390/rs61212752

Rößler, S., Witt, M.S., Ikonen, J., Brown, I.A., Dietz, A.J., 2021. Remote Sensing of Snow Cover Variability and Its Influence on the Runoff of Sápmi’s Rivers. Geosciences 11, 130. https://doi.org/10.3390/geosciences11030130

Simple

Date (Creation)
2022-03-01T00:00:00
Citation identifier
https://geoservice.dlr.de/catalogue/srv/metadata/0aaf17e5-ffd2-4729-92b9-c75ce9239a70
Presentation form
Digital map
Status
ongoing
Point of contact
Organisation name Individual name Electronic mail address Role

DFD-LAX

Global-SnowPack@dlr.de SnowPack@dlr.de

Point of contact

German Aerospace Center (DLR)

geoservice@dlr.de

Point of contact
Maintenance and update frequency
Daily

GEMET - INSPIRE themes, version 1.0

  • Land cover
Spatial scope
Keywords

  • MODIS

  • Global Snow Pack

  • snow cover extent

  • near realtime snow cover extent

  • snow cover extent accuracy

  • snow

  • SCE

  • NRT_SCE

  • SCE_Accuarcy

  • inspireidentifiziert
Use limitation

Nutzungseinschränkungen: Das DLR ist nicht haftbar für Schäden, die sich aus der Nutzung ergeben. / Use Limitations: DLR not liable for damage resulting from use.
Access constraints
Other restrictions
Other constraints
Es gelten keine Zugriffsbeschränkungen
Use constraints
Other restrictions
Other constraints

Nutzungsbedingungen: Lizenz, https://creativecommons.org/licenses/by/4.0 / Terms of use: License, https://creativecommons.org/licenses/by/4.0

Other constraints

{"id": "cc-by-4.0",

"name": "Creative-Commons - Attribution 4.0 International (CC BY 4.0)",

"url": " http://dcat-ap.de/def/licenses/cc-by/4.0",

"quelle": "Copyright DLR (2022)"}
Spatial representation type
Grid
Denominator
920000
Language
English
Character set
UTF8
Topic category
  • Climatology, meteorology, atmosphere
N
S
E
W
thumbnail


Begin date
2000-02-24T00:00:00
Unique resource identifier
EPSG:4326
Number of dimensions
2
Dimension name
Column
Dimension size
86400
Resolution
460  m
Dimension name
Row
Dimension size
43200
Resolution
460  m
Cell geometry
Area
Transformation parameter availability
No
Distribution format
Name Version

GeoTIFF
OnLine resource
Protocol Linkage Name

OGC:WMS

 		https://geoservice.dlr.de/eoc/land/wms?

GSP_SCE_P1D

OGC:WMS

 		https://geoservice.dlr.de/eoc/land/wms?

GSP_SCENRT_P1D

OGC:WMS-http-get-capabilities

 		https://geoservice.dlr.de/eoc/land/wms?SERVICE=WMS%26REQUEST=GetCapabilities

WWW:LINK-1.0-http--link

 		https://geoservice.dlr.de/web/maps/eoc:gsp:daily

EOC Geoservice map context

WWW:LINK-1.0-http--link

 		https://download.geoservice.dlr.de/GSP/files/daily

EOC Download Service

WWW:LINK-1.0-http--link

 		https://www.dlr.de/eoc/desktopdefault.aspx/tabid-18220/29005_read-77046

Global SnowPack - EOC News
Hierarchy level
Series

Domain consistency

Measure identification
INSPIRE / Conformity_001

Conformance result

Date (Publication)
2010-12-08
Explanation

See the referenced specification.
Pass
Yes
Statement

Created from MODIS daily snow cover products MOD10A1, MYD10A1 provided by the National Snow and Ice Datacenter NSIDC ( https://nsidc.org/)

Processing steps include combination of observations recorded by Aqua and Terra, temporal interpolation of 3 successive days, snow line identification, and a seasonal filter. More details are available in the publication "Dietz, A.J., Kuenzer, C., Dech, S., 2015. Global SnowPack: a new set of snow cover parameters for studying status and dynamics of the planetary snow cover extent. Remote Sensing Letters 6, 844–853. https://doi.org/10.1080/2150704X.2015.1084551"

Description

Single day snow cover datasets MOD10A1 and MYD10A1 were first cleared of any clouds/data gaps/polar darkness areas using 4 different interpolation techniques, then merged to produce the seasonal products.

Accuracy of the seasonal product ranges between 77% and 85%, depending on the location and the duration of data gaps caused by clouds or darkness.

Metadata

File identifier
0aaf17e5-ffd2-4729-92b9-c75ce9239a70 XML
Metadata language
English
Character set
UTF8
Hierarchy level
Series
Hierarchy level name

Dataseries
Date stamp
2023-01-18T13:52:10.72Z
Metadata standard name

ISO 19115-1:2014/19139
Metadata standard version

2003/Cor.1:2006
Metadata author
Organisation name Individual name Electronic mail address Role

German Aerospace Center (DLR)

geoservice@dlr.de

Point of contact
 
 

Overviews

overview
large_thumbnail
overview
thumbnail

Spatial extent

N
S
E
W
thumbnail


Keywords

GEMET - INSPIRE themes, version 1.0
Land cover

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