Climate change is adversly affecting our environment and global food security is challenged. The Hyperfield service provides global, daily and actionable near real-time data on ecological assets through spaceborne hyperspectral imaging and AI. This novel, small satellite-based solution enables creating a constellation of tens of satellites that are highly cost-effective, providing affordable insights for developed and developing countries.
Hyperfield helps food producers, businesses and governments get better insight for making effective decisions towards sustainable agriculture, carbon capture and mitigation of climate change risks.
The service is global and targets primarily agriculture, carbon trading, insurance, and finance sectors.
Hyperfield combines a constellation of hyperspectral small satellites, ground segment and advanced AI/ML-based analytics to provide actionable insights to customers and end users.
The first-generation satellite for the constellation is developed jointly in this project, by Kuva Space and VTT Technical Research Centre of Finland. The 6U CubeSat carries a novel in-orbit tunable high-resolution hyperspectral imager covering visual to near-infrared wavelengths. Future satellite generations will cover short-wave infrared wavelengths by including additional imaging channels.
The mission operations are performed from Kuva Space’s mission control and ground-station in Espoo, Finland and through a third-party ground station network provider. The downlinked hyperspectral data is processed on ground to validate its usability to the selected customer and end-user applications. Advanced AI/ML-based hyperspectral data processing and analytics are developed concurrently with the project.
The eventual satellite constellation will be launched after the validation mission and consists of tens of small satellites providing up to daily re-visits to selected areas of interest. Kuva Space is working with customers and end users to deliver different kinds of data products ranging from L2 to L4, emphasising more on L4.
The service provides actionable insights based on continously updating hyperspectral data. The near real-time hyperspectral data acquisition enhances timely decision-making and unlocks new applications. Some of these applications include identifying and analysing crop types and health, predicting yields, detecting anomalies, estimating carbon sequestration, and various safety and security-related applications.
The InCubed project’s satellite, Hyperfield-1B, is presently undergoing assembly, integration, and testing. It is scheduled for launch in early 2025, following the launch of the precursor satellite Hyperfield-1A, on 16 August 2024.
An advanced data processing chain and AI/ML-based analytics have been developed concurrently with the project and are ready to be utilised for the missions after launch.