EarlY WArning System for Mosquito borne Diseases EYWA, developed in the context of EuroGEO is a niche state-of-the-art toolthat distils EO data, advanced epidemiological and entomological modelling, and ML big data analytics. The uniqueness of the system can be summarised in the following distinguishing features. It delivers an operational solution, suggesting day to day prevention and door-to-door mitigation actions, as well as targeted surveillance and mosquito control operations that, undoubtedly, lead to the minimization of the entomological risk and the aversion of human cases in thousands of villages where the system has been already implemented. The technological innovation of the system builds upon the development of standards for efficient handling of multiple entomological, epidemiological data and ancillary geospatial data, along with advanced dynamic and data driven models, to extract knowledge on the dynamics of mosquitoes’ abundance and diseases’ transmission. It is a generic, transferable and validated solution in support of the Public Health Authorities and citizens. The common denominator of the different models is the use of big Earth Observation data from Copernicus missions and Core Services. They reliably depict and inform on the dynamics in biodiversity, climatic effects, habitats and breeding sites. Hence, EYWA exploits European innovation and investments and leverages European Exploitation platforms empowered by cloud storage and processing capacities as DIAS. The system is already operational in 10 regions in 5 European countries at a TRL 9.
Image Added Agrowth platform combines Earth Observation data along with pertinent vegetation indices, soil and weather data. It makes use of state of the art in Artificial Intelligence in order to support smart farming using EO data. Specifically, it provides a crop monitoring service which offers information and/or actionable advice at the parcel level. In the current alpha version, the available services per parcel are: - Phenology estimation: It estimates the current phenology stage of crop and the fuzzy transition of them in the course of time. Specifically, it provides the percentage of completion of each stage and it indicates the major and minor phenological stage in order to highlight this fuzziness of transition between of them.
- Weather Forecast: It visualizes the max and min ambient temperatures per parcel and it interplays with risk.resagri.eu. The user can be transferred at the click to ResAgri’s detailed weather information.
- Yield prediction: It predicts the yield in kg/ha, weeks earlier from the harvest.
- Vegetation Indices: It provides charts for the evolution of the vegetation indices NDVI, NDWI, PSRI and some crop specific indices.
Furthermore, there are some services for a quick overall view of the state of all available parcels on the map of user. - Overlay Satellite Images: It allows to overlay satellite images (RGB or NDVI) over the users’ parcels for a chosen acquisition date and area of interest.
- Phenology Stage: It colors the outline of each parcel with a color equivalent to its major phenology stage.
- Crop Classification: It colors the outline of each parcel with a color equivalent to its crop.
- Daily sowing map: It provides a heatmap for the sowing period of cotton which estimates daily the risk of sowing in a 2km x 2km spatial grid.
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