Publikationen von Martin Jung

Markus Reichstein, Simon Besnard, Nuno Carvalhais, Fabian Gans, Martin Jung, Basil Kraft, and Miguel D. Mahecha, "Modelling landsurface time-series with recurrent neural nets", in 2018 IEEE International geoscience and remote sensing symposium (IGARSS), (Valencia, 2018, 2018), pp. 7640-7643.

G. Vaglio Laurin, C. Vittucci, G. Tramontana, Paul Bodesheim, P. Ferrazzoli, L. Guerriero, Martin Jung, Miguel D. Mahecha, and D. Papale, "SMOS vegetation optical depth and ecosystem functional properties: Exploring their relationships in tropical forests", in IEEE International Geoscience and Remote Sensing Symposium 2018, (2018), pp. 5891-5894.

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

M. Schultz, N. E. Tsendbazar, M. Herold, Martin Jung, P. Mayaux, and H. Goehmann, "Utilizing the global land cover 2000 reference dataset for a comparative accuracy assessment of 1 km global land cover maps", in International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences, edited by G. Schreier, P. E. Skrovseth, and H. Staudenrausch (2015), Vol. 47, pp. 503-510.

N. Gobron, Martin Jung, A. Belward, F.a Mélin, B. Pinty, M. Robustelli, and M. Taberner, "Overview and relevance of the ESA-JRC FAPAR products for land applications", in Sustaining the millennium development goals: proceedings; 33rd International Symposium on Remote Sensing of Environment, ISRSE-33, (International Symposium on Remote Sensing of Environment, Stresa, 2009), Vol. 1, pp. 21-24.

H. Göhmann, M. Herold, Martin Jung, M. Schulz, and C. Schmullius, "Prototyping a probability-based Best Map Approach for global land cover datasets at 1km resolution using MODIS, GLC2000, UMD and IGBP", in Sustaining the millennium development goals: proceedings; 33rd International Symposium on Remote Sensing of Environment, ISRSE-33, (International Symposium on Remote Sensing of Environment, Stresa, 2009), pp. 404-407.

Martin Jung, Uncertainties of terrestrial carbon cycle modelling; studies on gross carbon uptake of Europe, PhD Thesis, University of Hamburg, 2008.

Javier Pacheco-Labrador, Ulisse Gomarasca, Daniel E. Pabon-Moreno, Wantong Li, Mirco Migliavacca, Martin Jung, and Gregory Duveiller, "BOSSE v1.0: the Biodiversity Observing System Simulation Experiment", in EGUsphere, (2025).

Zavud Baghirov, Martin Jung, Markus Reichstein, Marco Körner, and Basil Kraft, "H2MV (v1.0): Global physically-constrained deep learning water cycle model with vegetation", in EGUsphere, (2024).

Eva-Marie Metz, Sanam Noreen Vardag, Sourish Basu, Martin Jung, and André Butz, "Seasonal and inter-annual variability of carbon fluxes in southern Africa seen by GOSAT", in EGUsphere, (2024).