Copernicus Sentinel-2 MSI Level-2H and Level-2F

Copernicus Sentinel-2 MSI Level-2H and Level-2F

The Sentinel-2 Level-2H product provides harmonized Sentinel-2 and Landsat 8/9 orthorectified Surface Reflectance (Bottom-Of-Atmosphere: BOA), with sub-pixel multispectral and multitemporal registration accuracy. The harmonization process includes: geometric processing (stitching and registration to a common reference: GRI), common atmospheric processing, BRDF adjustment and SBAF adjustment.

The Sentinel-2 Level-2F product provides fused Sentinel-2 and Landsat 8/9 orthorectified Surface Reflectance (Bottom-Of-Atmosphere: BOA), with sub-pixel multispectral and multitemporal registration accuracy. The fusion includes the upscaling of L8/L9 data to S2 resolution (cf. Figure 1).

 

Figure 1 - L2H at 30m (left) and L2F at 10 m (right) based on Landsat-8 images

Figure below depicts the main processing steps of Sen2Like for generating the L2H and L2F starting from L1C. The Sen2Like processor is anyhow able to ingest also L2A.

Figure 2 - Level-2H and Level-2F processing chain

 

Additional details on theL2H/L2FProcessing Chain and relevant Results can be found on the following link (MDPI Paper).

The main characteristics of L2H and L2F products are listed in the following table.

 

Sentinel-2 L2H Product Characteristics

Name

Level-2H

Level-2F

High-level Description

Harmonized Sentinel-2 and Landsat 8/9 Surface reflectances in cartographic geometry for 7 spectral bands.

Fused Sentinel-2 and Landsat 8/9 Surface reflectances in cartographic geometry for 7 spectral bands.

Algorithm used

Sen2Like – Version 4.0

Data Characteristics
  • UTM/WGS84 projection
  • COG image format
  • 12-bit pixel values
  • < 12 m at 95.5% confidence of Absolute Geolocation
  • < 2 m at 95.5% confidence of Multitemporal Registration
  • < 0.1 px at 99.7% confidence of Multispectral Registration
  • UTM/WGS84 projection
  • COG image format
  • 12-bit pixel values
  • < 12 m at 95.5% confidence of Absolute Geolocation
  • < 2 m at 95.5% confidence of Multitemporal Registration
  • < 0.1 px at 99.7% confidence of Multispectral Registration

Additional Layers
  • Scene Classification Map at 20 m and 60 m (resampled from 20 m)
  • AOT Maps (10 m, 20 m, and 60 m)
  • Water Vapour Maps (10 m, 20 m, and 60 m)
  • Validity Mask (20m)
  • Scene Classification Map at 20 m and 60 m (resampled from 20 m)
  • AOT Maps (10 m, 20 m, and 60 m)
  • Water Vapour Maps (10 m, 20 m, and 60 m)
  • Validity Mask (20m)
  • Fusion Check Mask (20m, 30m)
AC used Sen2Cor or SMAC

DEM used

Copernicus DEM at 30 m

Auxiliary Data used
  • CAMS  (for SMAC only);
  • HABA data for VJB BRDF correction.

Quality Indicators
  • L2A Scene Classification QI (from Sen2Cor)
  • L2A Atmospheric Correction QI (from Sen2Cor)
  • Geometric Assessment method
  • NBAR method
  • SBAF coefficients and offset values
  • Fusion method
  • VALIDITY MASK 
  • FUSION CHECK MASK (for L2F only)

Production & Distribution

Ad-hoc generation and on-line distribution

Data Volume

Data Volume 800 MB (each 110x110 km2)

Data Delivery

N/A

 

How to access this data

Products will be available via the on-demand Open-EO processing service in the coming weeks. In addition to the on-demand download services, users can directly run Sen2Like processor to generate their own L2H and L2F products.

Sen2Like processor is available on this GitHub page: https://github.com/senbox-org/sen2like

Resources

Tools

The Sentinel-2 Toolbox consists of a rich set of visualisation, analysis and processing tools for the exploitation of MSI data from the Sentinel-2 mission.

Data Citation Guidelines Collection 1

Users, who, in their research, use ESA Earth Observation data that have been assigned a DOI, are asked to use it when citing the data source in their publications:

Copernicus Sentinel-2 (processed by ESA), 2021, MSI Level-2H/F Harmonized/Fused Reflectance Product. Collection 1. European Space Agency. https://doi.org/10.57780/esa-4862e7e

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