• insar.sk s.r.o. is a provider of geodetic and remote sensing analysis with focus on the deformation monitoring via satellite radar interferometry (InSAR, Interferometric Synthetic Aperture Radar). The primary aim of the company is deformation monitoring of structures and infrastructures (buildings, industrial zones, cultural heritage structures, roads, bridges, highways), urban areas, undermined and landsliding areas, deposits of mineral resources and objects of strategic importance (dams, waterworks, powerplants, airport facilities). The company focuses on the development of autonomous procedures that are designed to detect outlying measurements and facilitate the interpretation of higher-order products such as InSAR deformation maps.

  • First NameMatus
  • Last NameBakon
  • TitleMr
  • PositionFounder-CEO
  • Email 1matusbakon@insar.sk
  • Phone 1+421905356714
  • Organisation Nameinsar.sk s.r.o.
  • TypeCommercial
  • Thematic AreaAccess to raw materialsClimate changeEnergyFood SecurityOther
  • Website(s)http://www.insar.sk/en/
  • Street NameLesna
  • Street No35
  • Postal Code08001
  • TownPresov
  • CountrySlovakia
    • 1. Which of these statements best describe your Organisation’s role in the value chain?Value-adder(data process-modelling)GIS/mapping service providerEnd User with in house GIS/ mapping capabilities
    • 2. What are the main thematic areas of activity of your Organisation?Access to raw materials (e.g. minerals- mining- etc)Other
    • Other Thematic AreasHazards, Deformation Monitoring
    • 3. Has your organisation participated in EO-related projects?No
    • 4. Has your Organisation participated in any Copernicus service provision, Copernicus User requirements definition or Copernicus Research & Innovation action?Yes
    • 5. Has your Organisation participated in any GEO/GEOSS SBA Tasks, community activities or initiatives?No
    • 6. How would you rate your Organisation’s level of collaboration with other EO actors in your country or abroad?
    • A. In your CountryLow(1-4 actors)
    • B. AbroadModerate(5-10 Actors)
    • From the list below, please choose all the domains in which your organisation has capacities. 3) Modelling and computing processing capacities
    • Modelling and Computing Processing Capacities

    • Model/Algorithm1

      A Data Mining Approach for Multivariate Outlier Detection in Postprocessing of Multitemporal InSAR Results (http://ieeexplore.ieee.org/document/7895168/)

    • Which of the following application area(s) does the model serve? Meteorologic/ClimaticAtmospheric Composition/ProfilingHydrometric/Water QualitySoil attributes/SpectraEnergy/RadiationOther (e.g. Earthquake/Volcanic/Landslide)
    • Please specify the source of EO data used in the model.Remote sensing data (e.g raw satellite high-level images)
    • Please specify

      Displacement maps from multitemporal InSAR (MTI) are usually noisy and fragmented. Thresholding on ensemble coherence is a common practice for identifying radar scatterers that are less affected by decorrelation noise. Thresholding on coherence might, however, cause loss of information over the areas undergoing more complex deformation scenarios. If the discrepancies in the areas of moderate coherence share similar behavior, it appears important to take into account their spatial correlation for correct inference. The information over low-coherent areas might then be used in a similar way the coherence is used in thematic mapping applications such as change detection. We propose an approach based on data mining and statistical procedures for mitigating the impact of outliers in MTI results. Our approach allows for minimization of outliers in final results while preserving spatial and statistical dependence among observations. Tests from monitoring slope failures and undermined areas performed in this work have shown that this is beneficial: 1) for better evaluation of low-coherent scatterers that are commonly discarded by the standard thresholding procedure, 2) for tackling outlying observations with extremes in any variable, 3) for improving spatial densities of standard persistent scatterers, 4) for the evaluation of areas undergoing more complex deformation scenarios, and 5) for the visualization purposes.

    • Please list the providers of input data for the model


    • What is the geographic coverage/extent the model applies to?Local
    • Contact details of the person in charge

      Matus Bakon

    • Does your Organisation have sufficient available computing resources for the processing and exploitation of EO data and the models running?Processing Power Capacity (CPU-RAM-Storage Capacity)
    • 1. Is there funding for EO activities available in your country? Yes
    • If yes, specify the case(s).Yes-for EO market developmentYes- for R&D
    • 2. Is there a National Space Policy/Strategy? No
    • 3. Is there a Space Agency in your country? No
    • 4. Which of the following best describes the level of coordination of EO activities in your country? None
    • 5. Which of the following best describes the level of interaction between the EO community and decision makers in your country?None
    • 6. Can you give examples of high impact EO dedicated workshops organized in your country in the last decade?

      There are no EO dedicated workshops organised in Slovakia, all EO activities are poorly coordinated

    • 1. Would your Organisation be interested in contributing with its capacities to a regional initiative of GEO and/or Copernicus, addressing regional needs in the domains of Climate Change, Access to Raw Materials, Energy, Food Security and Water? Yes
    • 2. Would you be interested in providing feedback to the GEO-CRADLE consortium for establishing a roadmap for the implementation of GEO and Copernicus in North Africa, Middle East and the Balkans? Yes
    • 3. Would your organisation be interested in receiving our quarterly newsletter and/or participating in future networking events? Yes to both

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