EO indicators for global Early Warning and Seasonal Monitoring3rd Food Security Challenge (FS3) |
![]() Challenge DescriptionEarth Observation data, specifically low to medium biophysical indicators (NDVI, LST, LAI, fAPAR, RFE) are in widespread usage in Seasonal Monitoring and Early Warning activities. WFP runs one such system (Seasonal Monitor) to cover its areas of interest. The system is based on RFE (rainfall estimates) and NDVI produced at about 5Km resolution. It is desirable to evaluate the value-added of so far not utilized parameters such as LST, and biophysicals such as fAPAR, LAI, etc. and ii) to simplify the access to these datasets, in particular enabling the access of Regional Bureaus and some country offices to user ready outputs. The primary objective here is to serve WFP regions. |
ResultsThe results below are divided into Software Repositories, Online Services and Data Products Repositories.
Software RepositoriesThere are two categories of software repositories generated for the Challenge:
Follow the links below to proceed to one or the other, and find an "Ellip Workflows (ewf)" software application implementing a data processing function.
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Data Processing as-a-ServiceThere are two categories of "Data Processing as-a-Service" application packages created for the Data Challenge:
Follow the links below to proceed to one or the other, via a dedicated Geobrowser application providing web access to one or the other of the Data Processing services.
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Data Product RepositoriesThere is a dedicated client App publicly available for the visualization of the data products resulting from EO data processing challenges. The results can consist of:
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