Sen2like, A Tool To Generate Sentinel-2 Harmonised Surface Reflectance Products - First Results with Landsat-8

Abstract

Sen2Like is a processor designed to produce harmonized Level 2 surface reflectance dataset considering as reference Sentinel-2 data. Sen2Like fits with the on-going and growing expectations of the Earth Observation (EO) Community for the merging of an increasing number of input data streams from the various Multi-Spectral (MS) High Resolution (HR) EO mission instruments. The harmonization is an essential processing stage in order to fully exploit all the potential of physical data in the context of land use /land change classification/detection. However, because harmonization addresses several issues in the field of atmospheric/geometric/directional effects/spectral difference corrections, there is not a standard way to achieve this objective. To initiate this project, the Landsat 8 (LS8) mission has been considered as the most appropriate. The Sen2Like processor is now delivering S2/LS8 Analysis Ready Data (ARD) on S2 tiling system at a map resolution of 30 m and 10 m. After a description of the algorithms involved in Sen2Like, this paper discusses testing and validation results.