Max Planck Gesellschaft

--- Former member ---

Paul Bodesheim

PostDoc in the research group: Empirical Inference of the Earth System

Room: C2.010 (tower)

Phone: +49 3641 576221

Fax: +49 3641 577200

Email: pbodes(at)

Research interests:

  • Large-scale regression, multi-output regression, tree-based machine learning
  • Detection of extremes, events, anomalies, abnormalities, outliers, changes, ...
  • Pattern recognition and machine learning in computer vision
  • Object detection and object recognition
  • Object discovery, novelty detection, and one-class classification

Actual projects:

BACI: "Detecting changes in essential ecosystem and biodiversity properties - towards a Biosphere Atmosphere Change Index" is funded by the European Union's Horizon 2020 research and innovation programme (2015-2019)

Peer-reviewed publications:


Flurin Babst and Benjamin Poulter and Paul Bodesheim and Miguel D. Mahecha and David C. Frank: Improved tree-ring archives will support earth-system science. Nature Ecology & Evolution 1. January 2017. DOI: 10.1038/s41559-016-0008


Sebastian Sippel and Holger Lange and Miguel D. Mahecha and Michael Hauhs and Paul Bodesheim and Thomas Kaminski and Fabian Gans and Osvaldo A. Rosso: Diagnosing the Dynamics of Observed and Simulated Ecosystem Gross Primary Productivity with Time Causal Information Theory Quantifiers. PLOS ONE 11(10). October 2016. DOI: 10.1371/journal.pone.0164960

Erik Rodner and Björn Barz and Yanira Guanche-Garcia and Milan Flach and Miguel D. Mahecha and Paul Bodesheim and Markus Reichstein and Joachim Denzler: Maximally Divergent Intervals for Anomaly Detection. ICML Workshop on Anomaly Detection. New York, USA. June 2016. Best Paper Award


Gustau Camps-Valls and Martin Jung and Kazuhito Ichii and Dario Papale and Gianluca Tramontana and Paul Bodesheim and Christopher Schwalm and Jakob Zscheischler and Miguel D. Mahecha and Markus Reichstein: Ranking drivers of global carbon and energy fluxes over land. IEEE International Symposium on Geoscience and Remote Sensing (IGARSS). 2015. pp. 4416--4419. DOI: 10.1109/IGARSS.2015.7326806

In addition:

Please also refer to my old web page at the Computer Vision Group of the FSU Jena:

Further contributions

(technical reports, discussion papers in open access review, abstracts, posters, talks, ...)


Milan Flach and Fabian Gans and Alexander Brenning and Joachim Denzler and Markus Reichstein and Erik Rodner and Sebastian Bathiany and Paul Bodesheim and Yanira Guanche-Garcia and Sebastian Sippel and Miguel D. Mahecha: Multivariate Anomaly Detection for Earth Observations: A Comparison of Algorithms and Feature Extraction Techniques. Earth System Dynamics Discussions. November 2016. (in review) DOI: 10.5194/esd-2016-51

Milan Flach and Miguel D. Mahecha and Fabian Gans and Erik Rodner and Paul Bodesheim and Yanira Guanche-Garcia and Alexander Brenning and Joachim Denzler and Markus Reichstein: Using Statistical Process Control for detecting anomalies in multivariate spatiotemporal Earth Observations. European Geosciences Union General Assembly (EGU). Vienna, Austria. April 2016. Oral presentation: Vol. 18, EGU2016-7948-2

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