Articles | Volume 8, issue 3
Earth Syst. Dynam., 8, 677–696, 2017
https://doi.org/10.5194/esd-8-677-2017
Earth Syst. Dynam., 8, 677–696, 2017
https://doi.org/10.5194/esd-8-677-2017

Research article 08 Aug 2017

Research article | 08 Aug 2017

Multivariate anomaly detection for Earth observations: a comparison of algorithms and feature extraction techniques

Milan Flach et al.

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Latest update: 27 Jul 2021
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Short summary
Anomalies and extremes are often detected using univariate peak-over-threshold approaches in the geoscience community. The Earth system is highly multivariate. We compare eight multivariate anomaly detection algorithms and combinations of data preprocessing. We identify three anomaly detection algorithms that outperform univariate extreme event detection approaches. The workflows have the potential to reveal novelties in data. Remarks on their application to real Earth observations are provided.
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