Rapidly growing populations, limited farm lands and resources, movement towards greener practices and commodity price impacts on farmers revenues - are all factors calling for increased production and more sustainable agriculture.
Over the 30 last years, Airbus Intelligence has developed expertise in collecting the required imagery on time, and in extracting consistent vegetation indicators, which are robust regardless of the satellite imagery used. These turn-key analytics, powered by biophysical inversion enable the quantification of biomass or nutrient content, and monitor fields with no bias, without ground measurement. Combined with agro-meteorological models, they can be accurately turned into prescriptions to dose fertilisers, water, growth regulators and pesticides, finally helping to minimise the environmental impact of farming.
We aim at providing agriculture service providers, advisors and agronomists with a living reference layer of high-resolution satellite imagery, premium crop analytics and field delineation.
- Access the largest satellite imagery archive and in-season images from 22m up to 50cm resolution
- Access data coming from different image sources to ensure the right image at the right time (SPOT, DMC Constellation, Sentinel 2, Landsat 8, Vision-1, Pléiades, drones).
- Rely on our unique capacity to provide robust analytics whatever the viewing angle, the sensor and the light condition
- Easily access the data depending on your need: portal, API, download, streaming
Quick and easy access to premium satellite data
Our extensive constellation of satellites ensures you quickly get the right pixels at the right time with the right resolution to meet your needs.
Our solutions are recommended by governmental and non-governmental entities as well as industry experts
At Descartes Labs, we help companies across the agricultural supply chain extract insights from geospatial data. The Airbus SPOT and Pléiades collections power predictive analytics into agricultural production, supply chain efficiencies, and sustainability that aren't otherwise available. These data sets are a valuable business asset.
We are looking at expanding our product offering to our 7,500 farm user base who wants more detail about their crops, beyond just NDVI. Having higher resolution on some of the data is a key value proposition. This is where Crop Analytics fits quite nicely. We have already processed 4,000,000 hectares of NDVI to date, and want to leverage our user base to offer this value-added service. Crops such as cotton, rice and sugarcane will certainly benefit.”
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