The Environmental Mapping and Analysis Programme EnMAP is a hyperspectral satellite mission, supposed to be launched into space
in the near future. EnMAP is designed to be revolutionary in terms of spectral resolution and signal-to-noise ratio. Nevertheless, it will
provide a relatively high spatial resolution also. In order to exploit the capacities of this future mission, its data have been simulated by
other authors in previous work. EnMAP will differ from other spaceborne and airborne hyperspectral sensors. Thus, the assumption
that the standard classification algorithms from other sensors will perform best for EnMAP as well cannot by upheld since proof.
Unfortunately, until today, relatively few studies have been published to investigate classification algorithms for EnMAP. Thus, the
authors of this study, who have provided some insights into classifying simulated EnMAP data before, aim to encourage future studies
by opening the EnMAP contest. The EnMAP contest consists in a benchmark dataset provided for algorithm development, which is
presented herein. For demonstrative purposes, this report also represents two clas ... mehrsification results which have already been realized. It
furthermore provides a roadmap for other scientists interested in taking part in the EnMAP contest.