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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 2023 and 2024. 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

Digital seemingly seamless orthophoto of the Czech Republic in a 8-bit color scale. The pixel of the raster image Ortofota ČR displays 0.125 m of the area in the middle plane of the terrain. The positional accuracy of the Orthophoto of the Czech Republic, expressed as the mean positional error, has been improving over time. In 2021–2022, this value reached 0.19–0.20 m, and in 2023–2024, it reached 0.18–0.19 m (see Technical Report on the Orthophoto of the Czech Republic). Orthofoto ČR is distributed in graphic raster formats JPG in dispensing units with a size showing 2.5 x 2 km of terrain in the SM 5 clade. The file data is provided in JPEG format and supplemented with JGW files for the S-JTSK, ETRS89-TM33N and ETRS89-TM34N coordinate systems. The files are compressed (ZIP) for download.