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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 Orthoimagery (OI)

The INSPIRE Orthoimagery data are harmonised according to INSPIRE implementing rules. The dataset contains data from 2024 and 2025. The source dataset is the Orthophoto of the Czech Republic (Ortofoto ČR). The raster image has a ground sample distance of 0.125 m. Positional accuracy is characterised by a mean positional error of approximately 0.20 m. In accordance with the INSPIRE Orthoimagery data specification, the source data have been transformed into the ETRS89-TM33N coordinate reference system. The data are provided in JP2 (JPEG 2000) format. The distribution unit is a 2 × 2 km square.

HVD High value dataset. Atom Feed Dataset is distributed using Atom Feed.

Orthophoto of the Czech Republic

The digital virtually seamless orthophoto of the Czech Republic in 8-bit colour. The pixel of the Orthophoto CR raster image represents 0.125 m of terrain in the mean terrain plane. The positional accuracy of the Orthophoto CR, expressed as the total root mean square error, has shown long-term improvement. Since 2021, the total root mean square error of the Orthophoto CR has stabilised in the range of approximately 0.18–0.20 m (see the Technical Report on the Orthophoto CR). The Orthophoto CR is distributed in the JPEG raster format in distribution units covering 2.5 × 2 km of terrain in the SM 5 map sheet layout. The data files are provided in JPEG format accompanied by world files (JGW) for the S-JTSK, ETRS89-TM33N, and ETRS89-TM34N coordinate systems. Files are provided in compressed format (ZIP).