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Temperature distribution in northern Bavaria at 750m below ground (°C)
Temperature distribution at different depth levels below ground (750m, 1,000m, 1,250m and 1,500m below ground); Temperatures in °C -
Temperature distribution in southern Bavaria at 2000m below sea level (°C)
Temperature distribution at different depths below sea level (250m, 500m, 750m, 1000m, 1500m, 2000m and 3000m below sea level); Temperatures in °C -
INSPIRE Land Cover CLC5 2015
This dataset clc5 (2015) describes the landscape according to the CORINE Land Cover (CLC) nomenclature. These classes contain mainly information about landcover mixed with some... -
Digital Basic Landscape Model (ATKIS®)
The ATKIS® Basis-DLM describes the topographical objects of the landscape in vector format. The objects are defined by their spatial position, their geometric type, descriptive... -
INSPIRE NW Existing land use ALKIS
The database contains data on land use in the INSPIRE data structure (derived from ALKIS) for the area of North Rhine-Westphalia. Status of the data used: 01/01/2023. -
Temperature distribution in southern Bavaria at 3000m below sea level (°C)
Temperature distribution at different depths below sea level (250m, 500m, 750m, 1000m, 1500m, 2000m and 3000m below sea level); Temperatures in °C -
Temperature distribution in northern Bavaria at 1500m below ground (°C)
Temperature distribution at different depth levels below ground (750m, 1,000m, 1,250m and 1,500m below ground); Temperatures in °C -
Temperature distribution in southern Bavaria at 1000m below sea level (°C)
Temperature distribution at different depths below sea level (250m, 500m, 750m, 1000m, 1500m, 2000m and 3000m below sea level); Temperatures in °C -
Temperature distribution in northern Bavaria at 1000m below ground (°C)
Temperature distribution at different depth levels below ground (750m, 1,000m, 1,250m and 1,500m below ground); Temperatures in °C -
PBL IMAGE SSP scenarios - Land cover (5 arcmin)
Global categorial land cover type per land grid cell from 1970 to 2100. Cells may contain built-up area or water. The data is licensed under CC-BY. The IMAGE-team would... -
File Soil use 2010
The File Soil Use 2010 contains digital geometry of soil use in the Netherlands. Examples of land use are traffic areas, buildings, recreational areas and inland and outdoor... -
Land Use
This is the INSPIRE Existing Land Use data set of the Netherlands. It is based on the topographical map of the Netherlands (BRT) and aerial photo's of summer of 2017. -
File Soil Use 2015
The File Soil Use 2015 contains digital geometry of soil use in the Netherlands. Examples of land use are traffic areas, buildings, recreational areas and inland and outdoor... -
File Soil Use 2017
The File Soil Use 2017 contains digital geometry of soil use in the Netherlands. Examples of land use are traffic areas, buildings, recreational areas and inland and outdoor... -
PBL IMAGE SSP scenarios - Land cover (5 arcmin)
Global categorial land cover type per land grid cell from 1970 to 2100. Cells may contain built-up area or water. The data is licensed under CC-BY. The IMAGE-team would... -
Temperature distribution in southern Bavaria at 500m below sea level (°C)
Temperature distribution at different depths below sea level (250m, 500m, 750m, 1000m, 1500m, 2000m and 3000m below sea level); Temperatures in °C -
INSPIRE Land Cover CLC5 2012
This dataset clc5 (2012) describes the landscape according to the CORINE Land Cover (CLC) nomenclature. These classes contain mainly information about landcover mixed with some... -
Landcover classification map of Germany 2016 based on Sentinel-2 data
This landcover map was produced as an intermediate result in the course of the project incora (Inwertsetzung von Copernicus-Daten für die Raumbeobachtung, mFUND... -
Temperature distribution in northern Bavaria at 1000m below ground (°C)
Temperature distribution at different depth levels below ground (750m, 1,000m, 1,250m and 1,500m below ground); Temperatures in °C -
Change Detection map of Germany 2019-2020 based on Sentinel-2 data
This change map was produced on the basis of a classification method developed in the project incora (Inwertsetzung von Copernicus-Daten für die Raumbeobachtung, mFUND...
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