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High-Value dataset category from a European vocabulary. A High Value Dataset is public sector information whose re-use has significant benefits for society, the environment and the economy, in particular because of its suitability for services, job creation and other value-added applications.

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2 datasets found

INSPIRE theme Land use (LU)

The INSPIRE - Land use data from application schema Existing land use are harmonised according to INSPIRE Implementing Rules and corresponds with INSPIRE xml schema in version 4.0. The dataset is processed according to the application schema Existing Land Use. This dataset of the land use of the Czech Republic therefore has the unified design with other data created for this INSPIRE theme in frame of whole Europe. The features are represented by a vector component with attributes containing wider information about names. The base dataset is the Fundamental Base of Geographic Data of the Czech Republic (ZABAGED®).Therefore the land use dataset is based on observed reality derived from geographical data. The Hierarchical INSPIRE Land Use Classification System (HILUCS), required by Commission Regulation (EU) No 1089/2010, is used for classification of land use features.

ZABAGED® - Planimetric Components

Fundamental Base of Geographic Data of the Czech Republic (ZABAGED®) is a vector geographic digital model of the territory of the Czech Republic (ČR).At present time the planimetric component of ZABAGED® consists of 136 feature types as settlements, communications, utility networks and pipelines, hydrography, administrative units and protected areas, vegetation and land cover, terrain relief and selected data about survey control points. The features are represented by 2D vector spatial component and a descriptive component containing qualitative and quantitative information about features.