20250209
18111800
1.0
FALSE
Gebaeude_Berlin
002
0.000
Projected
GCS_WGS_1984
Linear Unit: Meter (1.000000)
WGS_1984_Web_Mercator_Auxiliary_Sphere
<ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.4.0'><WKT>PROJCS["WGS_1984_Web_Mercator_Auxiliary_Sphere",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Mercator_Auxiliary_Sphere"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",0.0],PARAMETER["Standard_Parallel_1",0.0],PARAMETER["Auxiliary_Sphere_Type",0.0],UNIT["Meter",1.0],AUTHORITY["EPSG",3857]]</WKT><XOrigin>-20037700</XOrigin><YOrigin>-30241100</YOrigin><XYScale>10000</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102100</WKID><LatestWKID>3857</LatestWKID></ProjectedCoordinateSystem>
20250213
11561800
20250213
11561800
Esri ArcGIS 13.4.0.55405
Gebaeude_Berlin
<div style='margin:0px; padding:0px;'><div style='margin:0px; padding:0px;'>Berliner Gebäude, abgeleitet aus dem ALKIS Datenbestand - Liegenschaftskataster der bezirklichen Vermessungsstellen in Berlin.<br /></div><div style='margin:0px; padding:0px;'><br /></div><div style='margin:0px; padding:0px;'><b>Quelle</b>: <a href='https://fbinter.stadt-berlin.de/fb/index.jsp' target='_blank' rel='nofollow ugc noopener noreferrer'>Geoportal Berlin</a></div></div><div style='margin:0px; padding:0px;'><br /></div><div style='margin:0px; padding:0px;'><b>Verarbeitungsprozesse</b>: Shapefile wurde in ArcGIS Pro importiert, Features mit Bezeichnung "AX_Gebaeude" selektiert, nach Web Mercator projiziert und als Web Layer in ArcGIS Online veröffentlicht.</div>
Berlin
Gebäude
buildings
building footprints
Gebäudeumrisse
DE
Germany
Deutschland
Open Data
ALKIS
Infrastruktur
esri_de
Gebäudeumrisse Berlins mit Funktion und Anzahl der Geschosse. Stand: 02.2025
Geoportal Berlin / ALKIS Gebäude
<div style='font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:17px;'><span style='font-size:16px;'>Für die Nutzung der Daten ist die </span><b>Datenlizenz Deutschland - Namensnennung - Version 2.0</b><span style='font-size:16px;'> anzuwenden. Die Lizenz ist über </span><a href='https://www.govdata.de/dl-de/by-2-0' style='color:rgb(0, 121, 193); text-decoration-line:none; font-size:16px;' target='_blank' rel='nofollow ugc noopener noreferrer'>https://www.govdata.de/dl-de/by-2-0</a><span style='font-size:16px;'> abrufbar. Der Quellenvermerk gemäß (2) der Lizenz lautet </span><b>"Geoportal Berlin /ALKIS Gebäude"</b><span style='font-size:16px;'>. </span></div>
File Geodatabase Feature Class
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dataset
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TRUE
FALSE
Gebaeude_Berlin
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OID
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Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
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Feature geometry.
Esri
Coordinates defining the features.
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Length of feature in internal units.
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Positive real numbers that are automatically generated.
Shape_Area
Shape_Area
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0
Area of feature in internal units squared.
Esri
Positive real numbers that are automatically generated.
20250213
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