Benson, V.; Robin, C.; Requena Mesa, C.; Alonso, L.; Carvalhais, N.; Cortés, J.; Gao, Z.; Linscheid, N.; Weynants, M.; Reichstein, M.: Multi-modal learning for geospatial vegetation forecasting. In: 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle , June 17, 2024 - June 21, 2024. (2024)

Hellwig, F. M.; Jagdhuber, T.; Fluhrer, A.; Dubois, C.; Chaparro, D.; Schellenberg, K.; Piles, M.; Schmullius, C.; Entekhabi, D.: Multi-frequency radiometry for multi-year monitoring of relative water content in a temperate forest. In: IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, pp. 2739 - 2742. IGARSS 2023, Pasadena, CA, USA , July 16, 2023 - July 21, 2023. (2023)

Jagdhuber, T.; Fluhrer, A.; Chaparro, D.; Dubois, C.; Hellwig, F. M.; Bayat, B.; Montzka, C.; Baur, M. J.; Ramati, M.; Kübert, A. et al.; Mueller, M. M.; Schellenberg, K.; Boehm, M.; Jonard, F.; Steele-Dunne, S.; Piles, M.; Entekhabi, D.: On the potential of active and passive microwave remote sensing for tracking seasonal dynamics of evapotranspiration. In: IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, pp. 2610 - 2613. IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Pasadena, CA, USA, July 16, 2023 - July 21, 2023. IEEE (2023)

Urban, M.; Hirner, A.; Ziemer, J.; Mueller, M. M.; Gessner, U.; Baade, J.; Mogonong, B.; Morgenthal, T.; Feig, G.; Ramoelo, A. et al.; Heckel, K.; Nghiyalwa, H. S.; Schmullius, C.: Sentinel-1 and Sentinel-2 time series breakpoint detection as part of the south African land degradation monitor (SALDI). In: 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, pp. 1997 - 2000. 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, Brussels, Belgium , July 11, 2021 - July 16, 2021. IEEE, Brüssel, Belgien (2021)

Requena Mesa, C.; Benson, V.; Reichstein, M.; Runge, J.; Denzler, J.: EarthNet2021: A large-scale dataset and challenge for Earth surface forecasting as a guided video prediction task. In: 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Nashville, TN, USA , June 19, 2021 - June 25, 2021. IEEE, Nashville, TN, USA (2021)

Adsuara, J. E.; Perez-Suay, A.; Moreno-Martınez, A.; Camps-Valls, G.; Kraemer, G.; Reichstein, M.; Mahecha, M. D.: Discovering differential equations from earth observation data. In: IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, pp. 3999 - 4002. IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, Waikoloa, HI, USA, September 26, 2020 - October 02, 2020. IEEE (2021)

Reichstein, M.; Besnard, S.; Carvalhais, N.; Gans, F.; Jung, M.; Kraft, B.; Mahecha, M. D.: Modelling landsurface time-series with recurrent neural nets. In: 2018 IEEE International geoscience and remote sensing symposium (IGARSS), pp. 7640 - 7643. Valencia, 2018 (2018)

Requena-Mesa, C.; Reichstein, M.; Mahecha, M. D.; Kraft, B.; Denzler, J.: Predicting landscapes as seen from space from environmental conditions. In: 2018 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 1768 - 1771. (2018)

Guanche Garcia, Y.; Rodner, E.; Flach, M.; Sippel, S.; Mahecha, M. D.; Denzler, J.: Detecting multivariate biosphere extremes. In: Proceedings of the 6th International Workshop on Climate Informatics: CI2016: NCAR Technical Note NCAR/TN-529+PROC, pp. 9 - 12 (Eds. Banerjee, A.; Ding, W.; Dy, V.). Climate Informatics Workshop 2016, Colorado (USA), September 22, 2016 - September 23, 2016. National Center for Atmospheric Research, Boulder (2016)

Camps-Valls, G.; Jung, M.; Ichii, K.; Papale, D.; Tramontana, G.; Bodesheim, P.; Schwalm, C.; Zscheischler, J.; Mahecha, M. D.; Reichstein, M.: Ranking drivers of global carbon and energy fluxes over land. In: IEEE International Symposium on Geoscience and Remote Sensing IGARSS, pp. 4416 - 4419. (2015)

Zscheischler, J.; Janzing, D.; Zhang, K.: Testing whether linear equations are causal: A free probability theory approach. In: Proceedings of the 27th Conference on Uncertainty in Artificial Intelligence (UAI). AUAI Press. (2011)

Triches, N. Y.: Revealing drivers of nitrous oxide (N2O) fluxes in a thawing sub-Arctic permafrost peatland. Dissertation, University of Helsinki, Helsinki (2026)

Bramble, D. S.: Formation of mineral-associated organic matter in soils: Role of land use and mineral type. Dissertation, Friedrich Schiller University Jena, Jena (2025)

Fan, N.: Climate Controls on Ecosystem Carbon Turnover: Identifying Robust Features amidst Uncertainty. Dissertation, Friedrich Schiller University Jena, Jena (2025)

Heinze, B.: Ancient carbon in sedimentary rocks drives modern groundwater microbiomes. Dissertation, Friedrich Schiller University Jena, Jena (2025)

Hellmann, S.: Application of single particle / single cell ICP-MS to geotechnical and biogeochemical suspensions. Dissertation, Friedrich Schiller University Jena, Jena (2025)

Ho, D.: Ensemble simulation of greenhouse gas distributions for remote sensing data assimilation. Dissertation, Friedrich Schiller University Jena, Jena (2025)

Linscheid, N.: Understanding ecosystem-climate interaction across timescales. Dissertation, Technical University of Munich, München (2025)

Paulus, S.: A novel framework for assessing the spatiotemporal dynamics of soil water vapor adsorption using a global observation network. Dissertation, Friedrich Schiller University Jena, Jena (2025)

Robin, M.: Isoprene emissions differentially mediate defense responses in brevideciduous and evergreen central Amazon Forest trees. Dissertation, Friedrich Schiller University Jena, Jena (2025)