Case studies by EOS Data Analytics

• Case study

EOSDA Crop Monitoring helped a UK farming cooperative accurately target harvesting areas with peas for either canning or freezing.

• Case study

EOSDA used satellite imagery analysis to help Zakhidna Ahrovyrobnycha Kompaniya verify that its 122 soy fields meet EUDR rules and confirm there was no deforestation after 2020.

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EOSDA conducted a field-by-field satellite analysis to help Project Expedite Justice expose how Russian occupying authorities continued to farm seized land in Ukraine from 2020 to 2024.

• 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.

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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.