Up-to-date seasonal information on the relative changes of biomass (or vegetation oriented spectral indices) in the floodplain using multitemporal map product based on Sentinel-2 data for hydrological modelling for flood protection purposes.

Elevation data production

Digital Terrain Models (DTMs) and Digital Surface Models (DSMs) are suitable for pre-crisis modelling aiming at delimitation of area at certain risk of flooding. DTMs and DSMs are elaborated with use of automated methods on the base of satellite EO data. DEMs are basic information for any kind of hydrological modelling and it is crucial for them to be complete, detailed and up to date.

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Environmental analysis support

This service aims at provision of current information on forests coverage, pastures and grassland as a reference for dynamic phenomena monitoring, provision of data on landscape types and landscape indices, provision of scenarios of updating of land cover map corresponding with the needs of climate change analysis and climate change mitigation analysis.

Flood monitoring

Flood inundation extent maps are derived either by flood modelling or by analysis of EO data. Flood evolution and probability map could be derived from dense time series of satellite imagery. Archive satellite imagery could be used to describe historic flood events.

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Land cover mapping

Information on land use and land cover, including hydrographical information and elements of topography build a resource of spatial information widely applicable in crisis management and flood protection practice.

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River ice monitoring

River ice causes floods through the blockage of water flow in river bed. In addition, icing affects the transportation function of the river. Observation of river ice is part of water management and presently is conducted in irregular network of in-situ ice measurement. Ground-based monitoring of river ice is rather expensive and restricted to a few rivers. River ice monitoring service will support in-situ measurements in a complementary way using public and free of charge data from Sentinel-1 satellite.

Satellite monitoring of agricultural productivity

Satellite imagery represents a valuable source of information about agricultural processes. Earth observation facilitates mapping of spatial distribution of crops, monitoring of plants development and early identification of anomalies.

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