High-quality data is the foundation of modern modeling and smart decision-making in agriculture. Our comprehensive datasets combine in-situ measurements with advanced remote sensing — everything you need in one place.

Our primary remote sensing data sources include:

A wide-range hyperspectral satellites offering 30-meter GSD and up to 900 square kilometers (90 000 hectares) of coverage per scene — ideal for advanced analysis. We also use multispectral imagery with resolutions of up to 1-meter GSD.

Wide-range hyperspectral airborne imagery with a typical 1–2 meter GSD, and resolutions as high as 0.25 meters. Ideal for small parcels and detailed urban analysis.

Centimeter-level spatial resolution and hyperspectral data ideal for R&D projects, experimental work, and fast on-site validations.
We have technology that allows us to collect very detailed, high-quality data.

Check out the datasets we already have. Use them or order your own dataset.
Crop type of over 10 main crops corelated with spaceborne and airborne hyperspectral and multispectral images.


Soil organic carbon measured chemically and corelated with airborne and spaceborne hyperspectral and multispectral images.
Soil samples, hyperspectral and multispectral acquisitions conducted the same day!


Soil macronutrients: potassium, magensium, phosphorus and pH corelated with hyperspectral airborne and spaceborne acquisitions.
Soil samples measured in accredited laboratories by the same team and the same equipment. Area of one bulk soil sample: 9 ares (30×30 meters).
Some of the airborne and spaceborne acquisitions conducted the same day as soil samples.


Soil macronutrients: boron, copper, iron, manganese, zinc, sulphure, corelated with hyperspectral airborne and spaceborne acquisitions.
Soil samples measured in accredited laboratories by the same team and the same equipment. Area of one bulk soil sample: 9 ares (30×30 meters).
Some of the airborne and spaceborne acquisitions conducted the same day as soil samples.


Multispectral drone images of tomatoes corelated with irrigation information and yield.


Hyperspectral drone images of potatoes corelated with root-zone moisture and yield quantity and quality.


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Our datasets are ready to use by scientists or as an input to R&D projects.