EO VAS: Cultivated AREA

Cultivated AREA is a product that will establish mask for cultivated areas, that will be later used as an input for Crop YIELD estimation (therefore yield is estimated only for cultivated areas!). Cultivated areas should not be mistaken for field parcels (declared unit of cultivated land), since declared and actual situation may frequently differ. In our project, field parcels are not considered as good approximation since one parcel can be cultivated only partially, or it can be cultivated with multiple crop types or it could be left bare. Cultivated area mask will be developed for a specific scenario, using only data from initial growth period, thus enabling early yield predictions. This specific scenario requirements will demand orientation into non-temporal features. Cultivated AREA USE CASE will be based on deep learning algorithms (MAGELLIUM). Product will be constructed using deep learning algorithms integrated in the PerceptiveSentinel’s processing library. Cultivated areas detection is required early in the crop growing period and the service would not be able to use long time series. Depending on the requirements this service will provide a pixel-wise classification (cultivated/no-cultivated), a binary mask or a vector.