With AutoMap, the handling of satellite images has never been easier! We simplify the production of maps based on earth observation data and handle the application of machine learning algorithms for land surface classifications by providing a solid data processing pipeline in a fully managed cloud infrastructure. Bring your own samples or use our default solution, while we take care of the thousands of images that fit your request, all the clouds in your area of interest and every aspect of process optimization and secure data storage. Don't worry about machine learning concepts, intelligent training data collection, hyperparameter optimization or informative feature spaces - That's our job as well! Seeing the world from above is now as demanding as ordering a pizza!

Continous Snow Monitoring System is available as global 500 m resolution snow cover, regional 20 m resolution snow cover for various areas and 20 m resolution snow depth product for Switzerland, the Rocky Mountains and Sierra Nevada. All algorithms can be further extended to any regions of interest.

LCA stands for Land Cover Analysis and is used to provide an up to date, digital overview of what covers the surface of our earth split out into 10 key land cover classes. The LCA is often the first step in many environmental monitoring or site selection processes.

Detection and sargassum influxes identification at their earliest stage using a synergy of satellite sensors, combined with drift modelling