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<gco:CharacterString>ECoLaSS (Evolution of Copernicus Land Services based on Sentinel data) is an EU Horizon2020 project to develop several prototypes of new or enhanced Copernicus Land services making full use of dense time series of SAR and optical Sentinel EO data. These prototypes shall be suggested for qualifying as candidates for operational integration into the future Copernicus Land Monitoring Service from 2020 onwards. Prototypes will be demonstrated in dedicated demonstration sites across Europe and in Africa.
Within the demonstration site West, Belgium an Emergence Date product in 10m spatial resolution and UTM projection for the reference period January 2018 to Decembre 2017 has been produced. This layer represents the date of emergence of maize crops in the study area. This layer is the main input data source for derivation of a prototypic Incremental Update layer. It is derived from parcel-level median MSAVI2 time-series.
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<gco:CharacterString>A spatio-temporal extraction of parcel-level (maize parcel) median MSVAI2 time feature derived from Sentinel-2 Level-2A (acquisition time span is January 2018 to Decembre 2018) was operated in site West, Belgium, resulting in parcel level time-series. A relative (dependent specifically on the time series value range) threshold method was used on the gap-filled time-series to derive the emergence date of each maize parcels in the area of interest. Other crops are excluded form the analysis. Only the maize parcels are provided along with their estimated emergence date. Quality assurance follows the ISO9000 standards for Quality Management and comprises of dedicated procedures of ongoing quality checks (QA breakpoints) during implementation of ethe production chain, in order to keep persistent control over the various stages of production, assure fitness-for-purpose of the end-products and that all quality requirements are fulfilled. Priority has been given to the target thematic accuracies to be achieved by each product, as well as to the issues of product consistency (spatial, thematic, temporal) and homogeneity. Quality Assessment: The quality assessment has been performed according to INSPIRE Data Specifications. The data quality elements considered are: (i) Completeness, (ii) Logical Consistency, (iv) Thematic Accuracy, (v) Temporal quality and (vi) Usability.</gco:CharacterString>
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