WMS Query Planet application/vnd.ogc.wms_xml image/png image/gif image/jpeg image/tiff application/json application/vnd.ogc.gml application/xml text/html text/plain XML INIMAGE BLANK geopedia Query Planet EPSG:3857 EPSG:4326 EPSG:32632 EPSG:3765 t4 Global True Marble™ EPSG:3857 EPSG:4326 EPSG:32632 EPSG:3765 t5 Natural Earth Map EPSG:3857 EPSG:4326 EPSG:32632 EPSG:3765 t262 Night Lights - Earth during night EPSG:3857 EPSG:4326 EPSG:32632 EPSG:3765 t1343 Blue Marble NG (August, 2004) EPSG:3857 EPSG:4326 EPSG:32632 EPSG:3765 t2345 OpenStreetMap - color EPSG:3857 EPSG:4326 EPSG:32632 EPSG:3765 t481 OpenStreetMap - grayscale EPSG:3857 EPSG:4326 EPSG:32632 EPSG:3765 t1085 OSM - topography EPSG:3857 EPSG:4326 EPSG:32632 EPSG:3765 t1083 OSM - topography with names EPSG:3857 EPSG:4326 EPSG:32632 EPSG:3765 ttl2172 ESA CCI land cover 2015 dataset The ESA team has produced Landcover maps with a classification scheme based on UN LCCS on order to be compatible with GLC and GlobCover products. It has a spatial resolution of 300m and exists in different epochs, see[1]for details

[1]https://www.esa-landcover-cci.org/?q=node/158and http://maps.elie.ucl.ac.be/CCI/viewer/download.php

]]> EPSG:3857 EPSG:4326 EPSG:32632 EPSG:3765 ttl2178 ESA CCI land cover 2010 dataset The ESA team has produced Landcover maps with a classification scheme based on UN LCCS on order to be compatible with GLC and GlobCover products. It has a spatial resolution of 300m and exists in different epochs, see[1]for details.

[1]https://www.esa-landcover-cci.org/?q=node/158and http://maps.elie.ucl.ac.be/CCI/viewer/download.php

]]> EPSG:3857 EPSG:4326 EPSG:32632 EPSG:3765 ttl2177 Global Land Cover Global Land Cover 2000

]]> EPSG:3857 EPSG:4326 EPSG:32632 EPSG:3765 ttl2179 GlobeLand30 - 2010 dataset 30m global Landcover, derived from LandSat and HJ1 (Chinese Satellite) with ten types of land cover, for 2000 and 2010, see[1]for details.

[1]https://www.nature.com/articles/514434cand http://www.globallandcover.com/GLC30Download/index.aspx

]]> EPSG:3857 EPSG:4326 EPSG:32632 EPSG:3765 ttl2173 Global Urban Footprint® The Global Urban Footprint® (GUF®) database shows the human settlements patterns in urban and rural environments in a so far unprecedented spatial resolution of about 12m per raster cell (0.4 arcseconds). A second version of the product is available in 2.8 arcseconds raster cell resolution (about 84 m). The GUF® dataset is based on the radar (SAR) satellite imagery of the German satellites TerraSAR-X and TanDEMr-X. It reflects the distribution of vertical built-up structures around the year 2012, with 93% of the satellite images recorded in 2011 and 2012, and remaining data gaps filled in 2013 and 2014.
More information.

]]> EPSG:3857 EPSG:4326 EPSG:32632 EPSG:3765 ttl2180 Urban Atlas Cities Displays the borders of Urban Atlas cities, useful for a visual overview of the data. Clicking on a city will provide a link to quickly zoom in to where the Urban Atlas data is visible.

]]> EPSG:3857 EPSG:4326 EPSG:32632 EPSG:3765 ttl2181 Urban Atlas The Urban Atlas provides pan-European comparable land use and land cover data for large urban zones with more than 100,000 inhabitants as defined by the Urban Audit.

Data is available for: Austria, Belgium, Bulgaria, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Latvia, Lithuania, Luxembourg, Malta, Netherlands, Poland, Portugal, Romania, Slovakia, Slovenia, Spain, Sweden, United Kingdom.

Data from 2012.

Due to large number of geometries, data is only visualized on scale levels above 12.

]]> EPSG:3857 EPSG:4326 EPSG:32632 EPSG:3765 ttl2182 Corine Land Cover 2006 Corine Land Cover 2006 seamless vector data - Version 17 (12/2013)

Corine land cover 2006 is the year 2006 update of the first CLC database which was finalised in the early 1990s as part of the European Commission programme to COoRdinate INformation on the Environment (Corine).

Shown from zoom level 10 onward.

]]> EPSG:3857 EPSG:4326 EPSG:32632 EPSG:3765 ttl2183 EU Forest Type 2012 EU Forest Type 2012

The forest type product allows to get as close as possible to the FAO (http://www.fao.org/) forest definition. In its original (20m) resolution it consists of two products: 1) a dominant leaf type product that has a MMU (minimum number of pixels to form a patch) of 0.5 ha, as well as a 10% tree cover density threshold applied, and 2) a support layer that maps, based on the dominant leaf type product, trees under agricultural use and in urban context (derived from CLC and imperviousness 2009 data). For the final 100m product trees under agricultural use and urban context from the support layer are removed.

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]]> EPSG:3857 EPSG:4326 EPSG:32632 EPSG:3765 ttl2184 EU Imperviousness Density EU Imperviousness Density (built-up areas)

Built-up areas are characterized by the substitution of the original (semi-) natural land cover or water surface with an artificial, often impervious cover. These artificial surfaces are usually maintained over long periods of time. The imperviousness HRL captures the spatial distribution of artificially sealed areas, including the level of sealing of the soil per area unit. The level of sealed soil (imperviousness degree 1-100%) is produced using an automatic algorithm based on calibrated NDVI.

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Imperviousness density (%):

]]> EPSG:3857 EPSG:4326 EPSG:32632 EPSG:3765 ttl2185 EU Natural and Semi-natural grasslands (2012) The “natural and semi-natural grassland” (NGR) focusses on the natural part of the use- intensity range, with some of the semi-natural grasslands included. The production workflow was based on an initial image segmentation. Information derived from the biophysical parameter layers is added to the objects from the image segmentation. Then a semi-automated classification is applied, followed by manual editing (aided by individual country assessments).

The grassland product definition for the NGR product is as follows:

“Natural grasslands are areas with herbaceous vegetation (maximum height is 150 cm and gramineous species are prevailing) which cover at least 75 % of the surface covered by vegetation which developed under a minimum human interference (not mowed, fertilized or stimulated by chemicals which might influence production of biomass)” 

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]]> EPSG:3857 EPSG:4326 EPSG:32632 EPSG:3765 ttl2186 EU Permanent Water Bodies (2012) Permanent water bodies use coverage from three satellite images (2006, 2009 and 2012), as well as a seasonal time series of medium-resolution (MR) images to identify areas with a constant presence of water. A pixel is classified as water if open water covers >90 % of a pixel (including shallow open water and submerged vegetation).

Water includes the following landscape types:

  • Permanent lakes, ponds (artificial and man-made) including fish ponds;
  • Rivers, channels permanently with water, and
  • Coastal water surfaces: lagoons, estuaries.

Land cover not to be considered as water:

  • Sea and ocean, and
  • Liquid dump sites. 

More information.

]]> EPSG:3857 EPSG:4326 EPSG:32632 EPSG:3765 ttl2187 EU Tree Cover Density (2012) EU Tree Cover Density

The tree cover density dataset maps the level of tree cover density in a range from 0-100%, has no MMU (minimum number of pixels to form a patch) and a minimum mapping width of 20 m.

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Tree Cover Density percentage:

]]> EPSG:3857 EPSG:4326 EPSG:32632 EPSG:3765 ttl2275 EU Tree Cover Density (2015) EU Tree Cover Density (2015)

The tree cover density dataset maps the level of tree cover density in a range from 0-100%, has no MMU (minimum number of pixels to form a patch) and a minimum mapping width of 20 m.

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Tree Cover Density percentage:

]]> EPSG:3857 EPSG:4326 EPSG:32632 EPSG:3765 ttl2188 EU Wetlands (2012) This product is extracted from HR satellite data and other available data sources for the area of the EEA39 (39 member states and affiliated countries to the European Environment Agency). The products maps the occurrence of permanent wetland, as a binary product (wetland/non-wetland), with no MMU (Minimum Mapping Unit) and a 20 m MMW (Minimum Mapping Width). To map permanent wetlands, multi-temporal imagery from 2006, 2009 and 2012, as well as a seasonal time series of medium-resolution (MR) images, are used in production. Wetlands and water (see chapter 3.5) are produced using the same workflow. Basically the spectral information contained in the multi-temporal input imagery is, as part of a highly automated workflow, transferred into statistical frequency indices for water and wetland presence. These are used in a last step for the final classification. A pixel cannot be classified as wetland and water at the same time (this is different for the other HRL’s).

Wetlands include the following landscape types:

  • Wetlands associated with permanent water bodies; 
  • Wetlands not associated with permanent water bodies;
  • Wetlands with vegetation (macrophyte) cover or without vegetation;
  • Peatlands (having presence of surface water), and
  • Coastal wetlands (salt marshes, salines, intertidal flats).

Land cover not to be considered as wetlands: 

  • temporary water-logging because of snow melt or heavy rains;
  • permanent water surfaces (rivers, lakes, lagoons, estuaries, fish ponds), and
  • wet agricultural fields, including rice fields. 

More information.

]]> EPSG:3857 EPSG:4326 EPSG:32632 EPSG:3765 ttl2192 Land Use (2002) Slovenian Land Use data, downloaded from http://rkg.gov.si/GERK/. 

Available for various dates, with data collection periods before 2002, between 2002 and 2005, 2006, between 2009 and 2011.

Validity dates work as such:

The "valid from" date is the latest date of change of the previous dataset plus one day. The "valid to" date is the latest date of change of the following dataset. In the case of the latest dataset, the "valid to" date is not set. Datasets are received as files containing all records representing the latest state of land use.

]]> EPSG:3857 EPSG:4326 EPSG:32632 EPSG:3765 ttl2193 Land use (2005) Slovenian Land Use data, downloaded from http://rkg.gov.si/GERK/. 

Available for various dates, with data collection periods before 2002, between 2002 and 2005, 2006, between 2009 and 2011.

Validity dates work as such:

The "valid from" date is the latest date of change of the previous dataset plus one day. The "valid to" date is the latest date of change of the following dataset. In the case of the latest dataset, the "valid to" date is not set. Datasets are received as files containing all records representing the latest state of land use.

]]> EPSG:3857 EPSG:4326 EPSG:32632 EPSG:3765 ttl2194 Land Use (2009) Slovenian Land Use data, downloaded from http://rkg.gov.si/GERK/. 

Available for various dates, with data collection periods before 2002, between 2002 and 2005, 2006, between 2009 and 2011.

Validity dates work as such:

The "valid from" date is the latest date of change of the previous dataset plus one day. The "valid to" date is the latest date of change of the following dataset. In the case of the latest dataset, the "valid to" date is not set. Datasets are received as files containing all records representing the latest state of land use.

]]> EPSG:3857 EPSG:4326 EPSG:32632 EPSG:3765 ttl2195 Land Use (2012) Slovenian Land Use data, downloaded from http://rkg.gov.si/GERK/. 

Available for various dates, with data collection periods before 2002, between 2002 and 2005, 2006, between 2009 and 2011.

Validity dates work as such:

The "valid from" date is the latest date of change of the previous dataset plus one day. The "valid to" date is the latest date of change of the following dataset. In the case of the latest dataset, the "valid to" date is not set. Datasets are received as files containing all records representing the latest state of land use.

]]> EPSG:3857 EPSG:4326 EPSG:32632 EPSG:3765 ttl2196 Land Use (2013) Slovenian Land Use data, downloaded from http://rkg.gov.si/GERK/. 

Available for various dates, with data collection periods before 2002, between 2002 and 2005, 2006, between 2009 and 2011.

Validity dates work as such:

The "valid from" date is the latest date of change of the previous dataset plus one day. The "valid to" date is the latest date of change of the following dataset. In the case of the latest dataset, the "valid to" date is not set. Datasets are received as files containing all records representing the latest state of land use.

]]> EPSG:3857 EPSG:4326 EPSG:32632 EPSG:3765 ttl2197 Land Use (2014) Slovenian Land Use data, downloaded from http://rkg.gov.si/GERK/. 

Available for various dates, with data collection periods before 2002, between 2002 and 2005, 2006, between 2009 and 2011.

Validity dates work as such:

The "valid from" date is the latest date of change of the previous dataset plus one day. The "valid to" date is the latest date of change of the following dataset. In the case of the latest dataset, the "valid to" date is not set. Datasets are received as files containing all records representing the latest state of land use.

]]> EPSG:3857 EPSG:4326 EPSG:32632 EPSG:3765 ttl2198 Land Use (2016) Slovenian Land Use data, downloaded from http://rkg.gov.si/GERK/. 

Available for various dates, with data collection periods before 2002, between 2002 and 2005, 2006, between 2009 and 2011.

Validity dates work as such:

The "valid from" date is the latest date of change of the previous dataset plus one day. The "valid to" date is the latest date of change of the following dataset. In the case of the latest dataset, the "valid to" date is not set. Datasets are received as files containing all records representing the latest state of land use.

]]> EPSG:3857 EPSG:4326 EPSG:32632 EPSG:3765 ttl2191 Land Use (2017) Slovenian Land Use data, downloaded from http://rkg.gov.si/GERK/. 

Available for various dates, with data collection periods before 2002, between 2002 and 2005, 2006, between 2009 and 2011.

Validity dates work as such:

The "valid from" date is the latest date of change of the previous dataset plus one day. The "valid to" date is the latest date of change of the following dataset. In the case of the latest dataset, the "valid to" date is not set. Datasets are received as files containing all records representing the latest state of land use.

]]> EPSG:3857 EPSG:4326 EPSG:32632 EPSG:3765