Periodic Reporting for period 1 - HiVE (Precise, Global Temperature Data for a Growing Planet)
Periodo di rendicontazione: 2022-12-01 al 2024-04-30
Food security is an urgent global challenge. To feed a population of 10 bn by 2050, we must produce 50% more food despite water scarcity, loss of arable land, & climate change. Lack of water (water stress) severely reduces crop yields. The inability to measure water stress accurately leads to unpredictable and low-yielding harvests, impacting the entire food supply chain from farm viability to food prices. Current crop health data is not fit for purpose, leading to ineffective irrigation consuming 70% of global freshwater. constellr will provide the first high-precision temperature data at field level, daily & globally from a uniquely scalable constellation of microsatellites (called HiVE), enabling water stress detection in time to prevent yield loss and explore temperature data for a variety of other models such as yield prediction and forestry applications. The EIC project will develop & launch an MVP constellation, generating the data required to increase global food production by up to 4%, reduce agricultural water waste by up to 180 gigatons, & avoid up to 94M tons of CO2 emissions.
To achieve the project objectives, constellr is engaging in the following primary activities as per scope of the project:
• Engaging early adopter customers in pilots and data product value demonstrations to ensure uptake of land-surface-temperature as a crucial data point in farming operations, supporting the goal of improving precision farming. Since project start, we have been able to triple our Early Access Programme volume and sales pipeline.
• Enhancing our early Mission Planning and Mission Control system to a robust, scalable system, able to handle a full constellation of satellites and thus supporting our commercial scale up. Since project start, we have signed contracts with suppliers to integrate their solutions for an effective and efficient Mission Operations System.
• Developing a second-generation satellite design to be more capable and robust in delivering land-surface-temperature data from space. We have kicked off a design studies with our suppliers improving the current design,based on product performance requirements derived from end-user feedback from proof-of-concept studies conducted since project start.
• Enhancing our first-generation Data Processing Pipeline and Data Platform to a be ready for increased data flow from a full constellation, while increasing robustness of processing and increasing automation of workflows.
• Engaging early adopter customers in pilots and data product value demonstrations to ensure uptake of land-surface-temperature as a crucial data point in farming operations, supporting the goal of improving precision farming. Since project start, we have been able to triple our Early Access Programme volume and sales pipeline.
• Enhancing our early Mission Planning and Mission Control system to a robust, scalable system, able to handle a full constellation of satellites and thus supporting our commercial scale up. Since project start, we have signed contracts with suppliers to integrate their solutions for an effective and efficient Mission Operations System.
• Developing a second-generation satellite design to be more capable and robust in delivering land-surface-temperature data from space. We have kicked off a design studies with our suppliers improving the current design,based on product performance requirements derived from end-user feedback from proof-of-concept studies conducted since project start.
• Enhancing our first-generation Data Processing Pipeline and Data Platform to a be ready for increased data flow from a full constellation, while increasing robustness of processing and increasing automation of workflows.
The constellr microsatellite constellation aimed at delivering reliable, high resolution, daily land surface temperature measurements of agricultural fields across the globe. This type of data has not been available yet. Existing satellites have limitations on either revisit (approximately 10 days) or resolution (between 70m to 1km). Hence, while the potential of land-surface-temperature is widely discussed in research literature, due to the unavailability of the data in the needed temporal and spatial resolution, most end-users have refrained from using the data thus far. constellr is engaging with the geoanalytics and agritech community to ensure the potential of our data is widely understood prior to satellite launch.