Geometric misalignment between Landsat and Sentinel-2 data sets as well as multitemporal inconsistency of Sentinel-2A and −2B data sets currently complicate multitemporal analyses. Operational coregistration of Sentinel-2A and -2B imagery… Click to show full abstract
Geometric misalignment between Landsat and Sentinel-2 data sets as well as multitemporal inconsistency of Sentinel-2A and −2B data sets currently complicate multitemporal analyses. Operational coregistration of Sentinel-2A and -2B imagery is thus required. We present a modification of the established Landsat Sentinel Registration (LSReg) algorithm. The modifications enabled LSReg to be included in an operational preprocessing workflow to automatically coregister large volumes of Sentinel-2 imagery with Landsat base images that represent multiannual monthly spectral average values. The modified LSReg was tested for the complete Sentinel-2 archive covering Crete, Greece, which is a particularly challenging region due to steep topographic gradients and high shares of water in Sentinel-2 tiles. A coregistration success rate of 87.5% of all images was obtained with a mean coregistration precision of 4.4 m. The mean shifts of 14.0 m in the
               
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