The Copernicus Sentinel-2 mission is an important assessment for crop monitoring, making field-based monitoring possible. The overall objective of this pilot activity is to demonstrate how NextGEOSS facilitates the use and processing of Sentinel-2 data for crop monitoring:
Crop monitoring supporting food security
Easy access to the data via the NextGEOSS data hub
Close monitoring of crops, which needs temporal dense profiles
A processing chain processing Sentinel-2 L1C data to vegetation indices towards crop information is demonstrated…
Also, a web-based dashboard is developed to allow users to explore this information which can feed information into specialised commercial Web-based dashboard e.g. WatchItGrow, with an extended area of interest including also an African country. Also, additional meteo data will be added.
In a second step, phenology is added, both processing from Sentinel-2 on the NextGEOSS cloud and on the dashboard
Crop monitoring products are defined in collaboration with the industry and the GeoGLAM community
Results from this NextGEOSS pilot flow into the ESA sponsored project TEP Food Security, with which these pilots have clear synergies
To obtain a temporal dense profile, Sentinel-2 alone is not sufficient. Therefore these data are fused with data from Proba-V, a Copernicus contributing mission
Pilot regions in Europe (Belgium) and Africa (Mali).
- Proba-V 100 m
- Meteo Data (rainfall, temperature, …)
To support Food Security and in particular agriculture monitoring, this pilot demonstrates how the NextGEOSS platform can unlock the enormous potential of high-resolution data (e.g. Sentinel-2), where traditionally crop monitoring was done using mainly medium resolution data from various satellite missions and the vegetation parameters from Copernicus Global Land.
This pilot addresses existing demands from the Agro industry, as well as insurance/re-insurance companies, as well from organizations as FAO, JRC, and others, who show a clear need for these tools. The pilot will be promoted inside GeoGLAM which can benefit significantly.
Vegetation products, including phenology, is derived on-demand from Sentinel-2 on a cloud platform. Here we address current bottlenecks regarding access to different sources of EO-data, ranking from medium resolution (but high temporal resolution) to high resolution (high spatial resolution), which is scattered. Therefore data fusion between Sentinel-2 and Proba-V is addressed as well.
RESULT ON GCI
Demonstration products will be available from the GCI.