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.
Check our our existing dataset or contact us if you want to build a new one
Applying for a project or a grant?
Instead of spending time and money to gather new in-situ data, check out our existing datasets that can be used within your project right away!
Our primary remote sensing data sources are always bound to in-situ measurements and include:
A wide-range hyperspectral satellites offering 30-meter GSD — ideal for advanced analysis. We also have airborne wide-range hyperspectral imagery with resolutions of up to 1-meter GSD.
Check out our hiperspectral datasources
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.
On-field point-based spectral measurements with scientific equipment is the best accuracy one can get in hyperspectral data analysis.
A dataset is useful only when the ground-truth measurements are high quality, diversified, normalized and verified. That is why we always conduct in-situ measurements ourselves and in accredited laboratories.
10 years of data gathering from 2016 till now. See our most interesting datasets below and contact us to build new ones.
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From Soil Organic Carbon and Spol Nutrients to Phenotyping and Heavy Metals. Physical, chemical and biological analysis creates very rich spectrum of scientific and application possibilities. Combined with spaceborne images, makes a great base for AI modeling.
Measurements from 6 countries and 12 locations covers variety of geographical, agronomical and atmospheric conditions.
See how much data we can collect and share.
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.
Apart from the above most important soil parameters, we also provide data for: calcium, bare soil, cations and nitrogen
Hours of labelled video data for interrow weeders’ systems.
Our datasets are ready to use by scientists or as an input to R&D projects.
