Case studies by EOS Data Analytics

• Case study

EOSDA validated its sugarcane classification technology in São Paulo, Brazil, using Sentinel-2 data and ground-truth verification to improve mapping accuracy.

• Case study

Using ground-truth data and an advanced ML model, EOSDA’s science team identified field boundaries with up to 90% accuracy and classified crop and other land-use types in four Iowa counties.

• Case study

EOSDA’s science team successfully identified field boundaries and classified crop types in five Texas counties using ground-truth data, own knowledge, and an advanced machine learning model.

• Case study

EOSDA’s science team estimated sugarcane yield and production in one of the biggest producing states of Brazil, São Paulo, utilizing weather, historical, and soil data from open sources.

• Case study

Serhii Klimov and Viktoriia Troian gave insights, tips, and tricks on how and why scientists use EOSDA LandViewer in their research, as well as what is coming to the platform in 2025.

• Case study

Levani Koroglishvili, a Ph.D. student at Georgian Technical University, was able to remotely monitor the changes in vegetation in Akhtala resort in Gurjaani with the help of the EOSDA Crop Monitoring.

• Case study

EOSDA helped Legado Green assess and visualize land use changes across 13M acres in Colombia. Relief-sensitive grids and lightweight 3D visualizations ensured accurate insights.

• Case study

It took only six weeks for EOS Data Analytics to perform boundary detection and crop classification on an area of 3,000 square kilometers in South Australia for a climate reporting company.

• Case study

Ukrainian Nor-Est Agro uses vegetation indices and weather analytics in EOSDA Crop Monitoring to determine the effectiveness of complex solutions in its partners’ fields.