In order to confirm the attribution of subsidies at field level, improve agricultural statistics (acreage and production estimates) but also support farmers and sustainable farming practices.
Our Crop Analytics for Institution retrieves time-series of satellite-derived advanced metrics over millions of fields. The service is used to accurately identify crop type, detect harvest and farming practices, as well as anomalies in crop development (early warning on potential losses in crop production).
Therefore, our Crop Analytics support the control of subsidies attribution, the agricultural statistics and the improvement of agricultural production down to extension services and farmers.
Our Crop Analytics time-series of biophysical parameters go much beyond green vegetation, providing results that are fully comparable over time and geographies.
Thanks to unrivalled geometric corrections (Sentinel and Landsat images are registered on OneAtlas Basemap) and atmospheric corrections providing the most accurate de-hazing, our Crop Analytics retrieves more pixels and improves the revisit over any land parcel.
100% cloud-based, our crop analytics automatically ingests Sentinel-2, Landsat-8 but also high and very high resolution optical imagery, masks clouds, calculates biophysical parameters and clips all results to each field in a single process.
Rely on cutting-edge and cost-efficient image processing, easily plugged to any system.
Benefit from satellite-derived analytics without having to separately integrate, process and manage satellite data
Be ready earlier for Common Agricultural Policy Monitoring thanks to an existing cutting-edge technology
Number of false alerts reduced, going beyond NDVI for clearer discrimination and more accurate results
Revisit in crop profiles with multisensory time series and state-of-the-art atmospheric correction
Crop Analytics brochure
