Explore projects

A service model to support the implementation of microservices providing a restful API to query a raster with a polygon.

ML detected building footprints and height open database (partial global coverage, only US and Europe included here)

Global annual land use / land cover classification at 10 meters scale.

A REST API to compute land elevation from satellite observations at a 30 meters scale.

Train/evaluate/predict DNN models dealing with timeseries and geo-information on CPU/GPU machines.

Inference on the Intel Neural Compute Stick 2

Imports observations to Raven and outputs E2A xml

Python library to predict no2 concentrations based on Innosense instrument output.

Dealing with tiles surrounding specific locations from geoserver