  Under the sponsorship of the European Union Horizon 2020 program, RapidAI4EO
will establish the foundations for the next generation of Copernicus Land
Monitoring Service (CLMS) products. The project aims to provide intensified
monitoring of Land Use (LU), Land Cover (LC), and LU change at a much higher
level of detail and temporal cadence than it is possible today. Focus is on
disentangling phenology from structural change and in providing critical
training data to drive advancement in the Copernicus community and ecosystem
well beyond the lifetime of this project. To this end we are creating the
densest spatiotemporal training sets ever by fusing open satellite data with
Planet imagery at as many as 500,000 patch locations over Europe and delivering
high resolution daily time series at all locations. We plan to open source
these datasets for the benefit of the entire remote sensing community.
