Application of iterative mapping workflow to the croplands in Uzbekistan

medium-res VS hi-res models for single image processing

The lifehack of the iterative mapping workflow

If applied correctly — the “iterative mapping workflow” can make some magic. (Read more about it here❗️This workflow could be picked up in hours by any cartographer and we are already developing a series of tutorials explaining how it works).
Using the series of the Sentinel imagery and contributing a fraction of mapping work to join the field features, in 5 images and 10 min of making edits, we can fill most of the gaps in the mask and drastically improve the map. However the rest should be mapped manually.

The field mask by low-res model augmented using the series of Sentinel imagery

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We apply Machine learning to automated analysis over Earth observation data