Analysis ready radar satellite data services with high accuracy: observe changes as they happen and make better decisions.

Value you get

  • Fresh information about your area of interest regardless the weather conditions.
  • Rich and trustworthy input for your monitoring, modelling, and analyses tasks.
  • Reduce your burden of pre-processing SAR data. Save money by saving time.
  • Keep focus on your client and your expertise.
  • Save from having idle computing infrastructure and pay only for the resources when you really need it.

    • Deliverables you get

  • InSAR coherence raster time series – read more
  • SAR backscatter raster time series – read more
  • SAR raster time series for visual use – read more
  • Synthesized biomass estimate raster timer series – read more
  • SAR parcel level statistics time series – read more
  • Agri subsidy compliance monitoring – read more

    • All raster products are available as WMS/WCS service or as data files.

    Calibrated SAR parameters you get

  • Interferometric coherence: 6- or 12-day repeat pass, VH & VV polarization
  • Backscatter: VH & VV polarization
  • VH/VV backscatter ratio

    • Read about our mission in the end of this page.


    SPECIFICS OF KAPPAZETA SERVICES


    InSAR coherence raster time series

    A sequence of high-resolution InSAR coherence raster images of your AOI for a specified period. 

    Especially suited for event and change detection (e.g., farming events, activity in open-pit mines, etc). Read more from our science articles: 1, 2, 3.

    Parameter: 6- or 12-day repeat pass interferometric coherence in VH and VV polarization.

    Source: ESA Copernicus Sentinel-1 radar satellites.

    KappaZeta value added: high accuracy provided by science-grade calibration process and noise removal.

    Imaging frequency: 2-4 images per 6 days, depending on the geographic location.

    Pixel size: 10 m x 10 m.

    Examples of application domains: agriculture, insurance, forestry, defense, open area mining, environmental protection.

    SNAP coherence VH (left) and Kappazeta coherence VH (right)


    SAR backscatter raster time series

    A sequence of high-resolution SAR backscatter raster images of your AOI for a specified period.

    Especially good as an input for various plant type detection tasks, e.g., crop type identification by its temporal signature via phenology.

    Parameter: backscatter in VH and VV polarization (sigma0 and gamma0 options), VH/VV polarization backscatter ratio.

    Source: ESA Copernicus Sentinel-1 radar satellites.

    KappaZeta value added: high accuracy provided by science-grade calibration process and advanced speckle suppression.

    Imaging frequency: 2-4 images per 6 days, depending on the geographic location.

    Pixel size: 10 m x 10 m.

    Examples of application domains: agriculture, insurance, forestry, defense, open area mining, environmental protection. 


    SAR layer for visual analysis

    A sequence of high-resolution SAR coherence and backscatter raster images of your AOI for a specified period of time with dedicated color scheme to facilitate visual inspection.

    Designed to make distinguishing patterns as easy as possible for human eye.

    Parameter 1: RGB composite of 6- or 12-day repeat pass interferometric coherence in VH or VV polarization combined with backscatter in VH and VV polarization.

    Parameter 2: RGB composite of backscatter in VH and VV polarization combined with VH/VV polarization backscatter ratio.

    Source: ESA Copernicus Sentinel-1 radar satellites.

    KappaZeta value added: high accuracy provided by science-grade calibration and advanced speckle suppression.

    Imaging frequency: 2-4 images per 6 days, depending on the geographic location.

    Pixel size: 10 m x 10 m.

    Examples of application domains: agriculture, insurance, forestry, defense, open area mining, environmental protection.


    Synthesized biomass estimate raster time series

    A sequence of high-resolution biomass estimate images synthesized from radar combined with cloud-free optical data of your AOI for a specified period.

    Especially useful when you need continuous time-series of biomass estimates. We derive biomass estimate images from SAR observations combined with cloud-free optical images.

    Parameter: synthesized biomass estimate derived from SAR, combined with cloud-free optical data.

    Source: ESA Copernicus Sentinel-1 radar and Sentinel-2 optical satellites.

    KappaZeta value added: Refined SAR data and Deep Learning modelling.

    Imaging frequency: 2-4 assisting SAR images per 6 days, depending on the geographic location.

    Pixel size: 10 m x 10 m.

    Examples of application domains: agriculture, insurance, forestry, defense, open area mining, environmental protection.


    SAR parcel level statistics time series

    A parcel level time series of InSAR coherence and SAR backscatter statistics for your list of polygons depicting a specified period.

    We provide reliable observations for 30-50% more parcels with complex shape and as small as 0.5 hectares.

    Especially useful when you need to investigate polygons with low spatial variability (e.g., crop fields, forest parcels, open area mining sites), which have distinct signatures in time.

    Parameter group 1: min., max., mean, median and standard deviation of the InSAR 6-day repeat pass coherence (VH, VV) generalized to present a whole polygon.

    Parameter group 2: min., max., mean, median and standard deviation of the SAR backscatter (VH, VV and VH/VV ratio) generalized to present a whole polygon.

    Source: ESA Copernicus Sentinel-1 radar satellites.

    KappaZeta value added: high accuracy provided by science-grade calibration and noise removal.

    Imaging frequency: 2-4 SAR images per 6 days, depending on the geographic location.

    Examples of application domains: agriculture, insurance, forestry, defense, open area mining, environmental protection.

    Agricultural subsidy checks

    Automated monitoring of fields to detect completion of agricultural works necessary to qualify for subsidy.

    We provide reliable monitoring for 30-50% more parcels with complex shape and as small as 0.5 hectares.

    Source: ESA Copernicus Sentinel-1 radar satellites and Sentinel-2 optical satellites.

    KappaZeta value added: Refined SAR data and Deep Learning modelling.

    Grassland mowing detection service

  • Reduce cost of the OTSC on grasslands with automated CwRS solution.
  • Improve applicants’ compliance with the aid rules by
  • publishing real-time mowing statuses on web map,
  • enabling automated targeted “early warning” reminders (SMS, e-mail).
  • Guide inspectors to problematic areas.
  • Re-channel subsidies to compliant owners.


    • Features

  • 90% detection accuracy of mowing and ploughing events for the input LPIS geometries.
  • 95% coverage by the area depending on regional variations in parcel size.
  • < 24 hrs. status update after the latest Sentinel acquisition.
  • Requires precipitation data for weather correction.
  • Easy integration with IACS via service API.
  • Administration interface for monitoring processing progress and setting parameters.

    • The mission of KappaZeta services

    It is often impossible to develop operational, high accuracy Earth observation application based only on the data from optical satellites. If clouds or smoke block the view, optical satellites are unable to capture the situation on ground. One can overcome this obstacle by adopting data from synthetic aperture radar (SAR) satellites. SAR data has another significant advantage – it contains information about the structure and water content of land cover.

    ESA Copernicus Sentinel-1 is a great SAR mission and provides huge potential for the EO community. Unfortunately, its data is largely under-exploited because it is too complex to use for a large majority of potential beneficiaries. The entrance barrier for correct adoption of Sentinel-1 data is too high in sense of lacking know-how about right pre-processing. Our experience shows that most of ICT, GIS, EO, consultancy companies, and governmental users overlook SAR data because it is not economically reasonable to build the processing competence in their organization. This is the exact place where KappaZeta can make your life easier.

    We take the SAR data of Sentinel-1 and refine it with science-grade processing chain. We turn images distorted by thermal noise into highly accurate analysis-ready time series of statistics and raster layers. The output we provide enables our clients to have reliable analysis and make better informed decisions in various domains.