GEOGLAM improves the current agricultural monitoring with operational processing and data analysis.

An informational service on the SDG indicators 2.4.1 “Proportion of agricultural area under productive and sustainable agriculture” and 15.3.1 “Proportion of land that is degraded over total land area” based on the 10 m. agricultural land productivity and crop type mapping on Sentinel-2 data as well as Sen-4-CAP.

Geodata drivn drought monitoring service and a financial service delivery yto smallholder farmers based on geodata-driven risk-mitifation insurance product.

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!