SpaceSense illustration of a satellite orbiting the Earth and capturing data

Solutions

From complex satellite data to agriculture decision-making tools

SpaceSense is a leading provider of advanced satellite insights. Our expertise: translating scientifically validated remote-sensing methods into operational, affordable products in a timely manner. Our products can be quickly adapted to each local environment and deployable via APIs a global scale.

Discover our ready to use products below !

Basic crop health information for daily monitoring and anomaly detection

Using Vegetation Indices is a perfect starting point for satellite data beginners. We provide 9 Vegetation Indices to measure various aspects of crop performance, such as biomass, water stress, nutrient stress, growth stage & more, throughout growing seasons. The most commonly known is NDVI.

Available indices
Image resolution
Image frequency
Number of image/year
NDVI, NDWI, EVI,
NDRE, LAI, SAVI,
CHI, NIRv, RGB
10 x10m
Every 4/5 days
20 - 70  (depending on cloud coverage)

Advanced crop health data for biomass measurement all year long

When there is cloud coverage, optical satellite imagery is no longer available. As a result, using Vegetation Indices to monitor crops becomes impossible. Our Beyond Cloud model extracts insights correlated to crop biomass from radar imagery, which are not affected by clouds, to guarantee measurements all year long.

Available indices
Image resolution
Opmal image frequency
Number of image/year
LAI, NDVI
20x20m
Every 2/3 days
120 - 180 (Depending on the field location)
A clouded satellite image with crop health visible on fields
A clouded satellite image with crop health visible on fields

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Basic soil moisture data for regular water management, cost-effective & sensor-free

Our Soil Moisture Index shows relative soil moisture levels in each pixel of a field. It is calibrated from historical radar imagery of the past 2 years for that given field. This solution provides a quick and efficient way to look at the soil moisture behaviour either for a specific day, or to identify larger trends over years.

Image resolution
Optimal image frequency
Accuracy
20 x20m
Every 2/3 days
>80%
An image of fields
An image of fields with a soil moisutre overlay

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Advanced sensor-like soil moisture data for scalable irrigation management

Our Soil Moisture Content solution predicts the exact soil moisture levels up to 30 cm depth everywhere in a given field. To achieve this, we apply machine learning to a mixture of radar imagery & ground sensor data. The solution  is quickly adapted to each customer  environment and deployable via APIs a global scale.

Image resolution
Optimal image frequency
Accuracy
20 x20m
Every 2/3 days
> 85%
Fields with sensors spread out giving soil moisture value
An overlay of soil moisture for every point of the field

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Gather soil information for thousands of fields instantly, at a sub-field resolution

Our Soil Texture model predicts the key composition properties for the first 30 cm of soil in a given field  Use this solution to reduce the information required from growers while increasing the amount of data you gather per field. This solution combines very efficiently with any VRA products.

Image resolution
Historical data
Accuracy
20x20m
Up to 5 years
> 85%
Comparaison between soil texture predictions and the real soil measurements

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Combine multiple field layers to create your own custom VRA solution for seeding or fertilizer maps

Our VRA solution offers you the possibility to combine any georeferenced field layer (satellite, soil, yield, humidity…) to create a zone map for your seeding of fertilizer recommendations. You can choose the weight of each layer or import existing equations to ensure the best results. The resulting zoning map can directly be provided in machine-readable files.

Image resolution
Frequency
Maximum number of layer
Machine-readable formats
10 x10m
Unlimited
5
Trimble, John Deere (other available on demand)
A workflow explaining how the VRA product works

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Know what was planted in a field and at which date

Our solution looks at the last three years of a given field’s history to identify the different crops that were grown on it, and at which period. This solution is beneficial for companies looking to monitor farming practices at a large scale and which require independent third-party assessment.

Data resolution
Historical data
Accuracy
Field level
Up to 5 years
> 90%
two types of crop with a rotating circle

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Get precise information on what field has cover crops

Our solution monitors the use of cover crops for fields at a large scale and can also provide the percentage of the coverage in the field. This solution is beneficial for companies looking to monitor farming practices at a large scale and which require independent third-party assessment.

Data resolution
Historical data
Accuracy
Field level
Up to 5 years
> 90%
A tree in a green grass field

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Get precise information on what field is being tilled

Our solution monitors the use of tilling for fields at a large scale. This solution is beneficial for companies looking to monitor farming practices at a large scale and which require independent third-party assessment.

Data resolution
Historical data
Accuracy
Field level
Up to 5 years
> 90%
A tractor tilling a field from above

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FAQ

Frequently asked questions

What kind of satellite data do you work with?

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We work mainly with Sentinel 1 and 2 from the Copernicus programme. We also use Planet data for customers interested in higher resolution

What kind of data formats can I get?

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We provide our data as an image for display (PNG) and in raw form for further analysis (JSON).

I’m interested in the data above, how can I get them?

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Simple, reach out to us and get started for free!

I’m new to satellite data, can i get started for free?

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Yes, there is a starter pack covering 20K Ha for free, reach out to us to learn more.