Abstract
Abstract. 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 classification results which have already been realized. It furthermore provides a roadmap for other scientists interested in taking part in the EnMAP contest.
Highlights
The Environmental Mapping and Analysis Programme, acronym EnMAP, is a spaceborne hyperspectral sensor to be launched during the forthcoming years (Kaufmann et al, 2008; Stuffler et al, 2009)
In the scope of this paper, we focus on a supervised classification of individual pixels by using the training data in order to train a classifier which should afterwards be able to generalize to new, unseen data
This contribution has elaborated a benchmark dataset for hyperspectral simulated EnMAP data
Summary
The Environmental Mapping and Analysis Programme, acronym EnMAP, is a spaceborne hyperspectral sensor to be launched during the forthcoming years (Kaufmann et al, 2008; Stuffler et al, 2009). EnMAP offers a spectral range provided by two instruments from 420 nm to 1000 nm (VNIR) and from 900 nm to 2450 nm (SWIR). One important property is the high radiometric resolution and stability in both instruments. Its swath width is 30 km at a spatial resolution of 30 m × 30 m, which is high for a spaceborne hyperspectral instrument but low in comparison to airborne instruments. EnMAP will have a fast target revisit of only 4 days (Stuffler et al, 2007; Kaufmann et al, 2006)
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