Inspire SL Land plots/Plots ALKIS

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Provided by Bundesamt für Kartographie und Geodäsie

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Dataset information

Catalog
Country of origin
Updated
2022.11.21 00:00
Created
2018.04.25
Available languages
German
Keywords
Geobasisdaten, Saarland, inspireidentifiziert
Quality scoring
110

Dataset description

This INSPIRE dataset contains the official parcels and cadastre-related administrative units of the Saarland. The transformation was carried out according to the INSPIRE guidelines of CadastralParcel in version 4.0. The following feature types are currently available on this topic: * CP CadastralParcel * CP CadastralZoning The CadastralParcel land plots are according to INSPIRE areas defined by the cadastral administration or similar organisations and are part of the state territory. Thus, it can be considered as a part of the earth’s surface, which falls within the scope of national law with regard to property rights and property rights. The feature CadastralZoning It includes the national administrative districts (such as municipalities, areas and corridors) to which parcels are assigned. This feature is designed to improve the visualisation and research possibilities based on its meta-information. This INSPIRE dataset contains the official parcels and cadastre-related administrative units of the Saarland. The transformation was carried out according to the INSPIRE guidelines of CadastralParcel in version 4.0. The following feature types are currently available on this topic: * CP CadastralParcel * CP CadastralZoning The CadastralParcel land plots are according to INSPIRE areas defined by the cadastral administration or similar organisations and are part of the state territory. Thus, it can be considered as a part of the earth’s surface, which falls within the scope of national law with regard to property rights and property rights. The feature CadastralZoning It includes the national administrative districts (such as municipalities, areas and corridors) to which parcels are assigned. This feature is designed to improve the visualisation and research possibilities based on its meta-information.
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