soCAP delivers detailed satellite-derived crop analytics for inclusion into any tool, supporting European Member States to transition from acreage control to CAP monitoring. Served as a plug-and-play API, soCAP provides reliable and quantified measures of the vegetation, perfectly clipped to LPIS fields and accurately de-clouded.
These analytics are consistent:
- over time and location
- regardless of what satellite is used
They efficiently support crop type validation and detection of cutting events or farming practices.
soCAP at the forefront of innovation
soCAP is a turn-key service to retrieve incomparable vegetation maps based on a unique capability to characterise biophysical plant parameters with the best possible accuracy, regardless of the satellite image source.
soCAP advanced crop analytics are easy to ingest in any tool to support Institutions in transitioning from acreage control to 100% monitoring of fields throughout the crop season. In Europe, soCAP will support the implementation of the future Common Agricultural Policy by providing the capacity to:
- validate the declared crop type
- detect cutting events and farming practices
- alert on unexpected results
- understand anomalies
Key benefits for users
- 100% operational, trouble-free and usable
- 100% cloud based: systematic de-clouding and processing in real time
- 100% reliable: consistent results over time and location sensors agnostics
- 100% universal: API delivery for immediate access in your current and future tools
- 100% robust: reliable analytics to better detect changes and anomalies
- 100% optimised: advanced atmospheric corrections to gain revisit
Analytics based on biophysical vegetation parameters
soCAP allows consistent monitoring over time and location, regardless of the sensor, thanks to the absolute quantification that biophysical parameters provide, with no bias and free of local ground measurement. In addition to NDVI (Normalised Difference Vegetation Index), soCAP opens the gate to more advanced signal derivatives to better detect anomalies, such as:
FCOVER (Green Cover Fraction) - features the percentage of ground surface covered by the crop. It is a simple characterisation of the crop development that works for any crop (without knowing the crop type).
LAI (Leaf Area Index) - features the total developed area of green leaves per ground area unit. It is highly correlated to biomass, allowing for the quantification of crop development. LAI captures more variability than NDVI, especially when canopy closure is reached, and therefore improves the detection of changes and anomalies, as well as enabling smarter and faster decisions. These physical measurements of vegetation, also named biophysical parameters, have already proven to be robust in precision agriculture, through the entire value chain down to farmers, to establish agronomic diagnosis and release farming recommendations.
A robust API based service, 100% operational
soCAP crop profiles are built on all « incoming » imagery. The API eases the usage of massive amounts of data, combining Copernicus Sentinel-2 data, Landsat 8, and higher resolution commercial data such as SPOT6/7 at 1.5m spatial resolution and Pléiades at 0.5m spatial resolution. Depending on national needs, very high-resolution satellite data and aerial imagery sources are regularly integrated into the service to complement free and regular Copernicus imagery with extra revisit rate and/or higher resolution.
soCAP processing suite offers advanced de-clouding & de-hazing corrections, as analysed in the ACIX 2018 ESA/USGS study. Images are better filtered out, more useful pixels can be leveraged, and therefore crop profiles are temporally better characterised.
The analysis of both longer time-series as well as very fast processing of the most recent archive will no longer be a challenge for users who can now focus on further analytics.
A cloud-based solution which perfectly fits CAP’s ambition
soCAP is 100% cloud-based: all the imagery is systematically and automatically retrieved, de-clouded and processed in real-time, automatically and over millions of parcels. It is also 100% accessible, thanks to a scalable API, for seamless integration into your current and future CAP monitoring tools.
An experienced provider with decades of expertise is space-based agriculture analytics
Turning data into insight, sobloo, the DIAS platform offered by a consortium consisting of Airbus, Orange and Capgemini, is fully adapted to face the challenge of the future Common Agricultural Policy. sobloo is leveraging strategic assets of Airbus to be the first to propose soCAP services.
Airbus has pioneered the use of remote sensing for agriculture. Every day, Airbus delivers ambitious, environmentally friendly solutions to solve today’s agricultural challenges on a global scale. Leveraging the increasing amount of imaging satellites and the technical opportunities unlocked by the digital era, Airbus aims to provide European agriculture institutions and their service providers with a living reference layer of premium crop analytics, conveniently clipped to the field and accurately de-clouded.
Based on the result of a strong technological leadership and R&D investment, Airbus has developed a turn-key service, named soCAP, to retrieve incomparable vegetation maps based on a unique capability to characterise plant parameters regardless of the satellite image source. These physical measurements of vegetation, also named biophysical parameters, have already proven to be robust in precision agriculture, through the entire value chain down to farmers, to establish agronomic diagnosis and release farming recommendations. sobloo will offer dedicated APIs to analyse crop type, development, agricultural practices and production over single parcels, regions or countries.
Want to discover the full potential of soCAP?
Some early key adopters are already paving the way for the future of the CAP. Do you want to join them? For more information please contact us and we can discuss how we can fulfill your needs.
The soCAP service is accessible from sobloo via API. The Airbus team has also developed a human demo interface to help you understand the full potential of the soCAP service, before set-up of your API gateway.