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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. This dataset of the Orthophoto of the Czech Republic therefore has the unified design with other data created for this INSPIRE theme in frame of whole Europe. Data were derived from the dataset of the Orthophoto of the Czech Republic. For compliance with the data specification data were transformed to coordinate reference system ETRS89-TM33N. Data are provided in graphic raster format (JPEG 2000) with 0.25 m pixel resolution. Export units are defined by the grid ETRS89-GRS80.

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 orthophoto of the Czech Republic is constantly improving its positional accuracy characterized by a mean positional error, this error ranged from 0.20 to 0.21 m in the years 2019 - 2020, in the years 2021 - 2022 error ranged from 0.19 to 0.20 m. The evaluation of the accuracy of the orthophoto of the Czech Republic in 2021 has not yet been completed. 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.