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  • This product shows the mean snow cover duration (SCDmean), which is updated each year and consists of the arithmetic mean for the entire time series since the hydrological year 2001. The hydrological year begins in the meteorological autumn (October 1 of the previous year in the northern hemisphere or March 1 of the reference year in the southern hemisphere) and ends with the meteorological summer (northern hemisphere: August 31 of the reference year; southern hemisphere: February 28/29 of the following year). Analogous to the annual products for snow cover duration, the entire year as well as the early season (until mid-winter) and the late season (from mid-winter) are taken into account here. 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

  • Compilation of the European Pre-Quaternary marine geology (section of Germany). Project partners are the national geological services of the participating countries. The map consists of data at highest available spatial resolution, map scale („multi-resolution“-concept) and data completeness vary depending on the project partner (as of 2016 September). According to the Data Specification on Geology (D2.8.II.4_v3.0) the content of the geological map is stored in a INSPIRE-compliant GML file: EMODnet-DE_Pre-Quaternary_GeologicUnit.gml contains the geologic units. The GML files together with a Readme.txt file are provided in ZIP format (EMODnet-DE_Pre-Quaternary-INSPIRE.zip). The Readme.text file (German/English) contains detailed information on the GML file content. Data transformation was proceeded by using the INSPIRE Solution Pack for FME according to the INSPIRE requirements.

  • Statistical units of Germany, derived from the german digital landscape model at scale 1:250000. Mapped via EuroBoundaryMap to satisfy INSPIRE conformance. The dataset is available as Open Data.

  • The map Organic Matter Content of Top-Soils in Germany 1:1,000,000 highlights the results of a Germany-wide compilation of typical soil organic matter contents in top-soils differentiated according to 15 groups of soil parent material, four climatic areas and the main land use. The evaluation is based on more than 9000 soil data profiles with information about Soil Organic Matter (SOM) from a period of about 20 years. The report 'The Organic Matter Content of Top-Soils in Germany', BGR Archiv, No. 0127036 (in German) documents the methodology. The classes of the map legend are based on the classes given in the German Soil Mapping Guideline, 5th Edition (KA5).

  • The BUEK5000 is derived form the landuse stratified soil map of Germany at scale 1:1,000,000 by aggregation, focused on information about the parent material, and generalization. The maps shows 20 soil (23) legend units with polygons of at least 64 square kilometers.

  • Compilation of the European Quaternary marine geology (section of Germany). The map consists of data at highest available spatial resolution, map scale („multi-resolution“-concept) and data completeness vary depending on the project partner (as of 2019 April). Project partners are the national geological services of the participating countries. According to the Data Specification on Geology (D2.8.II.4_v3.0) the content of the geological map is stored in a INSPIRE-compliant GML file: EMODnet-DE_Quaternary_GeologicUnit.gml contains the geologic units. The GML file together with a Readme.txt file are provided in ZIP format (EMODnet-DE_Quaternary-INSPIRE.zip). The Readme.text file (German/English) contains detailed information on the GML file content. Data transformation was proceeded by using the INSPIRE Solution Pack for FME according to the INSPIRE requirements.

  • The GK2000 Geologie (INSPIRE) represents the surface geology of Germany on a scale of 1:2,000,000. According to the Data Specification on Geology (D2.8.II.4_v3.0) the content of the geological map is stored in three INSPIRE-compliant GML files: GK2000_Geology_GeologicUnit.gml contains the geologic units, GK2000_Geology_GeologicStructure.gml comprises the faults and GK2000_Geology_GeomorphologicFeature.gml represents the marginal position of the ice shield as well as the impact craters Nördlinger Ries and Steinheimer Becken. The GML files together with a Readme.txt file are provided in ZIP format (GK2000_Geologie-INSPIRE.zip). The Readme.text file (German/English) contains detailed information on the GML files content. Data transformation was proceeded by using the INSPIRE Solution Pack for FME according to the INSPIRE requirements.