Processing Baseline

The processing baseline GIPP (PROBAS- L1C, PROBA2 - L2A) are configuration files that evolve over the Mission lifetime. This evolution is done to manage the introduction of new product features or processing steps (e.g. introduction of the geometric refinement), and the correction of errors in the processing chain.

The evolutions of the processing baseline are tracked and justified in the 'Processing Baseline Status' section of the Data Quality Report that is published on a monthly basis by the MPC/CC and available from the Sentinel-2 Document Library.

The relationship between each PROBAS, the XSD, and the Product Specification Document (PSD) is set out in the S2 User Guide.

Level-1C processing
Processing Version Date Introduced Reason
02.00 23 November 2015 Initial product Baseline
02.01 15 December 2015 updated to accommodate changes in the Tiling Grid configuration file
02.02 3 May 2016 to correct an issue identified in which anomalous pixels with incorrect value are present in the overlap of datastrips. This occurred in only a few products.
02.03 9 June 2016 Affected by a strong spectral mis-registration anomaly, and withdrawn.
02.04 15 June 2016 To replace 02.03
02.05 27 April 2017 A fix introduced to the satellite ancillary metadata, to correct instances where the value of Instrument Measurement Time (IMT) is not represented correctly.
02.06 23 October 2017 An update of the ‘Product Discriminator’ component of the product name and filename, and the product-level Metadata file in the structure holding the quality control report summary references.
02.07 6 November 2018 The crenellation effect at the edge of images was significantly reduced by estimating the inverse locations for grid points lying just after the edge of the acquisition.

The accuracy of the tile sensing time reported in the tile metadata was improved by computing for each tile the average acquisition time of all relevant pixels. The new tile sensing time will be reported in the field General_Info/ SENSING_TIME of the Tile Metadata without format change.

The detector footprint vector files provide the precise location of the boundary between detectors, without overlap. This improvement will enable Users to have an accurate estimation of the viewing direction for each pixel.

The correlated across-track noise on very dark images was significantly reduced thanks to an improved radiometric correction algorithm.
02.08 8 July 2019 Correction of the formatting to the instrument telemetry of the Datastrip metadata (FEE Temperature Value and GPS_Time date).
02.09 4 February 2020 Improvement of the NO DATA mask accuracy

Improvement ECMWF GRIB reference time accuracy

Correction of a sporadic anomaly on product footprint

Removal of the spurious viewing angle information for detectors not present in the image.
03.00 30 March 2021 Activation of the Geometric Refinement.

Use of the new Copernicus Digital Elevation Model (COP-DEM) at 90 m, with corresponding improvement of the geolocation performance over mountainous areas in particular

Improvement of the Level-1C cloud detection algorithm over high-altitude terrains

Improvement of the Level-1C Technical Quality (TECQUA) mask accuracy

Additional On-Line Quality Control checks applicable to the geometrically refined products.


Level-2A processing
Processing Version Date Introduced Reason
02.07 26 March 2018 Initial product Baseline
02.08 23 May 2018 Update of the quality control reports embedded in the L2A products (referring to ‘OLQC' reports in the product specifications).

Change in the coding of the section of the Product Level Metadata, in order to group all band image files of the same tile in the same record.
02.09 8 October 2018 Improvement of the accuracy of Scene Classification over water, urban and bare areas thanks to the usage of the Climate Change Initiative (CCI) Land Cover data.

Improvement of the spatial homogeneity of surface reflectance between adjacent tiles.
02.10 6 November 2018 See L1C 02.07 (above)
02.11 21 November 2018 Improvement of the terrain correction algorithm in mountainous areas, in order to avoid artefacts for pixels under semi-transparent clouds.
02.12 6 May 2019 Improvement of the terrain correction algorithm, in order to avoid adjacent tile discontinuities in terrain correction for seemingly flat areas with gentle slopes.
02.13 8 July 2019 Correction of the formatting to the instrument telemetry of the Datastrip metadata (FEE Temperature Value and GPS_Time date).
02.14 4 February 2020 See L1C 02.09 (above)
03.00 30 March 2021 Correction of a light halo observed along Level-2A image boundaries, either at the edge of the swath or at the end of data-strips

Improvement of the Level-2A cloud probability layer near the boundary of the swath

Improvement of the topographic correction thanks to the use of the Copernicus 90 m DEM

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