Crop Loss Detection using NDVI anomalies3rd Extending The Market Challenge (EM3) |
![]() Challenge DescriptionThe goal of the Challenge is to have a first evaluation of crop loss based on time series analysis of a vegetation spectral index derived from satellite images (Normalised Difference Vegetation Index - NDVI) for the chosen parcels. Seven data pipelines were defined under this challenge:
The Challenge Promoter is Fidelidade, Companhia de Seguros S.A. (https://www.fidelidade.pt) |
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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