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AI and Remote Sensing in FS and Agriculture

The Copernicus Programme provides a huge amount of satellite data and AI technologies could be used for accurately extracting the semantic from multisource, multiscale, multidimensional and multitemporal data.


Business Category
Earth Observation

Indicative scenarios:


Crop-type mapping:

Extract crop boundaries and/or identify crop type at country or continental level from time series of satellite images.


Crop-dynamic monitoring:

Extract near-real time phenological parameters of vegetation and fields, collect statistics, perform prediction of yields.


Support irrigation management:

Increase water savings and get optimized crop production