The used technologies are python based and include: MongoDB tensorflow Flask google.cloud python API
A dataset of labelled satellite images is created. Several networks are trained and tested on this dataset. The network is deployed on a production server.
The results of the classification/segmentaion are used to feed python based photovotlaic simulation libaries. The output is displayed and the results (the potential) evaluated.