Sentinel-2 image of an area in Slovenia, blending into a map of predicted land cover classes.
True-colour images of a single patch at different time frames. Some frames are cloudy, indicating the need for a cloud detector.
Cloud probability masks of a single patch for different time frames (same as above). The colour scale represents the probability for a cloudy pixel, ranging from blue (low probability) to yellow (high probability).
The process of burning vector data into raster masks for a single patch. The left image shows the plotted polygons of the provided vector file, the centre image shows the split raster masks for each land-cover label, black and white indicating the positive and negative samples, respectively. The image on the right shows the merged raster mask with different colours for different labels.
True colour image (left), map of valid pixel counts for the year 2017 (centre), and the averaged cloud probability map for the year 2017 (right) for a random patch in the AOI.
Mean NDVI of all pixels in a random patch throughout the year. The blue line shows the result with cloud filtering applied, while the orange line shows the calculation with clouds taken into account.
Number of valid Sentinel-2 observations for this AOI in the year 2017. The regions with higher count numbers are areas where the swaths of both Sentinel-2A and B overlap, while this does not happen in the middle part of the AOI.

Sentinel Hub Blog

Stories from the next generation satellite imagery platform

Thanks to Miha Kadunc, Anze Zupanc, Grega Milcinski, Devis Peressutti, and Matej Aleksandrov

Matic Lubej

Written by

Data Scientist from Slovenia with a Background in Particle Physics.

Sentinel Hub Blog

Stories from the next generation satellite imagery platform

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