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Diagnostic tool that integrates optical, infrared and SAR data - DINOSARcore

DINOSAR · Horizon Europe grant · 2024-01-01–2026-12-31

EC contribution

€1,498,481

Total cost

€1,498,481

Beneficiaries

7
About the data

Source: CORDIS (official EU open data), Horizon Europe. Framework HORIZON · call HORIZON-EUSPA-2022-SPACE · scheme HORIZON-RIA · topic HORIZON-EUSPA-2022-SPACE-02-56. CORDIS record →

Objective

DINOSAR aims to develop Copernicus based algorithms to support smart farming applications that can be used worldwide, clouds, or no clouds. At the moment, most EO based crop monitoring tools are based on optical satellite inputs. In areas with substantial cloud cover the use of these applications is extremely limited. To be able to introduce more sustainable crop management practices, reliable and continuous time series on crop phenology and health throughout the growing season are needed. This will support farmers to match agricultural inputs (fertilisers, pesticides, water) with what the crop actually needs, decreasing their environmental footprint. DINOSAR will do this by integrating the diagnostic power of optical, infrared and Synthetic Aperture Radar (SAR) signals. With the DINOSAR project we intend to kickstart a revolution in EO-based solutions that tackle challenges in agriculture (under clouds) by making full use of the Copernicus infrastructure. We intend to take the existing methodology a step further by designing a multi-sensor operational monitoring method for a single crop (sugarcane) capable of operating on large data volumes, and then extrapolating this approach to practical field cases and to other crops (and geographies) for which the application of EO-based applications has been underexplored. Rather than looking at optical and SAR based data as two parallel signals, we will focus on integrating the two early on in the processing chain. This has not been done before. Sugarcane in Colombia is our initial test-case, but we will not stop there. DINOSAR will also develop a methodology integrating the combined observations from optical, infrared and SAR EO satellites to monitor other crops in other geographies.

Beneficiaries (7)

OrganisationCountryRoleEC contributionSME
ELEAF BV NL coordinator €427,375 Yes
SARFOREST BV NL participant €315,688 Yes
UNIVERSIDAD DE ALICANTE ES participant €293,281
C.I. AGROAP SAS CO participant €196,600 Yes
EURONOVIA FR participant €132,250 Yes
SARVISION BV NL participant €72,405 Yes
NOORT HARMANNUS NL participant €60,882

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