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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
We work mainly with Sentinel 1 and 2 from the Copernicus programme. We also use Planet data for customers interested in higher resolution
We provide our data as an image for display (PNG) and in raw form for further analysis (JSON).
Simple, reach out to us and get started for free!
Yes, there is a starter pack covering 20K Ha for free, reach out to us to learn more.