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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

Landslides in the Czech Republic – INSPIRE harmonized (theme Natural risk zones)

Landslides dataset generated as the INSPIRE layer from the Slope Deformations Register, which contains basic data of registered and verified slope deformations in the Czech Republic (landslides, solifluction, rock falls, etc.).

fullfillment of requirements of the INSPIRE directive

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

Slope deformations in the Czech Republic

Open dataset contains basic data on Slope deformations (landslides, solifluction, rock falls, etc.) within the territory of the Czech Republic. Landslides are classified as active, suspended and stabilized. Database is based on verified mapping in 1 : 10,000 and landslide description and photodocumentation. The current form of the data corresponds to the revised methodology for monitoring slope deformations (formerly slope instabilities) from 2021.

The purpose is to inventory the area with detected slope deformations in accordance with the provisions of § 17 of the Geological Act (No. 62/1988 Coll., on geological works, as amended). These areas can have an impact on the development of spatial planning documentation and on the environment. ČGS provides data on slope deformations to public authorities and spatial planning authorities for the processing of spatial analytical documents in accordance with the valid Building Act.

HVD High value dataset. GeoJSON Dataset is distributed using GeoJSON.