In this blog I want to give you a brief outlook on the extensions which are coming next to the EOMasters Toolbox. All users of Sentinel-2 data can look forward to the upcoming updates.
S2 Surface Reflectance Normalisation
You know the stripes in S2 scenes originating from the detector edges? These can significantly be reduced when normalising the surface reflectance values. Also, by simulating a nadir viewing perspective a reliable comparison of images over time and under different conditions can be achieved.
Following a comparison of one of the first images I've normalised.
S2 Geometry Upscaling
The view and sun geometries of Sentinel-2 need special treatment they are only provided at very low resolution, and the detector footprints need to be considered when resampled to the respective band resolution.
This allows to only upscale the geometries without resampling all data to a common resolution. Another goal of this development was to improve the performance. If you use the GPF Runner and combining the geometry upscaling with the generic resampling and resample a full S2 to a common resolution of 10m it is roughly 10x faster. Instead of 80 minutes it only takes 7:30 minutes to process the data.
Super-Resolve Sentinel-2 Scenes to 5 Meter
The enhanced details and improved accuracy of super-resolved scenes can be crucial for specific applications in remote sensing where. The algorithm will allow to super-resolve 10- and 20-meter spectral bands to five meters. Other bands can optionally be included, and they will be upscaled using proper interpolation methods.
The first image is the original 20m image of band B5 zoomed at 5-meter scale. The second one is generated using bicubic interpolation. The last one is the super-resolved version. You can see that it is clearer, and details stay sharper.
It is not yet sure when this update will be released. Probably in November. Some things still need to be implemented and tested till then.
I hope you like it. Let me know in the comment's what you think about it.
Tschüss and Goodbye
Marco
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