TAO

Services

Data Processing Services

This service offers access to a set of algorithms (i.e. processing services) which can be applied to one or more EO products to obtain a specific information.

The Platform is equipped with a large set of EO processing services including:

  • Sentinel-1 pre-processing into Amplitude and Coherence products starting from the Sentinel-1 SLC products
  • Biophysical and Spectral indicators calculation (LAI, FAPAR, FCover, NDVI, NDWI, Brightness etc.) starting from the Sentinel-2 and Landsat-8 L2A products
  • Grassland mowing detection containing information about grassland mowing events over the parcels declared by the farmers as permanent grassland in a given region or country. It is based on the processing of S1 and S2 derived products, which are respectively coherences, calibrated amplitude backscatter and three BIs which are the NDVI, the FAPAR and the LAI.
  • L3 Basic Markers aiming to produce products that contain the S1 and S2 signals which are aggregated over each declared parcel (assumed to be homogeneous land management unit), moving from pixel to object analysis. For each parcel, signal statistics and markers are then computed and stored in a collection which is therefore growing over time.
  • Agricultural Practices monitoring that aims at the identification of the agricultural practice of crop harvesting/clearance and the comparison of the temporal behaviour of vegetation of fallow lands, catch-crops or nitrogen-fixing crops with the pre-defined (country specific) EFA (Ecological Focused Area) practices rules.
  • Crop Type Mapping detection generates a parcel-level crop type map based on a dense time series of Sentinel-2 and Sentinel-1 acquisitions and on an in-situ dataset, nominally the subsidy applications. It trains a Random Forest model from a subset of the in-situ dataset, which is then applied on the entire set of parcels. The predicted crop type can then be compared to the expected one, to check the conformity of the declarations.
  • Bare soil detection that aims providing products containing bare soil and non-bare soil markers, based on the optical Sentinel-2 (S2) surface reflectance and Synthetic Aperture Radar (SAR) Sentinel-1 (S1) time series at the parcel level.
  • Parcel Heterogeneity detection for detection the homogeneity of the parcels in terms of the crop uniformity.
  • Change of agricultural category detection that allows detection from one year to another of a change in the agricultural category of a certain parcel.
  • Tillage monitoring performs the tillage detection for a certain parcel.
  • Winter Cover Crops that aim to provide products related to the future Winter Cover Crop (WCC) processor related to the WCC detection, WCC season length estimation and WCC aboveground biomass estimation.
  • Burned area monitoring performs the detection of burned areas.

The Data Processing Services operated on TAO are split in two subcategories according to the complexity of the underlying algorithm:

  • Simple services
  • Advanced services

User Algorithm Hosting

This service also based on TAO is meant for developer users to plug onto the Platform already existing scientific applications written in a variety of languages (e.g. Java, C++, Python, R), and then deploy, automate, manage and scale them in a very modular way.

It offers access to a development environment in the Platform Cloud infrastructure and an online resource exposing a REST API that allows the developer user to upload his algorithm (also developed offline) onto the platform and deploy it as a Platform-operated data processing service.

The User Algorithm Hosting Service enables the use of such algorithms with the EO data and user private data and takes care about the access to and use of processing resources. It makes possible the sharing of the algorithm with other users of the platform.


Access TAO services

TAO Data Processing Services


Documents

End User Licence Agreement for TAO Services
Service Level Agreement for TAO Services
Price list effective as of February 2026


Contact

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