Book Chapter (8)
481.
Book Chapter
Reichstein, M.). John Wiley & Sons Ltd, Hoboken, New Jersey (2021)
Generative adversarial networks in the Geosciences. In: Deep Learning for the Earth Sciences: A Comprehensive Approach to Remote Sensing, Climate Science, and Geosciences, pp. 24 - 36 (Eds. Camps-Valls, G.; Tuia, D.; Zhu, X. X.; 482.
Book Chapter
Reichstein, M.). John Wiley & Sons Ltd, Hoboken, New Jersey (2021)
Spatio-temporal Autoencoders in Weather and Climate Research. In: Deep Learning for the Earth Sciences: A Comprehensive Approach to Remote Sensing, Climate Science, and Geosciences, pp. 186 - 203 (Eds. Camps-Valls, G.; Tuia, D.; Zhu, X. X.; 483.
Book Chapter
Detection of gas molecules by means of spectrometric and spectroscopic methods. In: Advanced Nanostructures for Environmental Health, pp. 251 - 294 (Eds. Baia, L.; Pap, Z.; Hernadi, K.; Baia, M.). Elsevier, Amsterdam (2020)
484.
Book Chapter
Data challenges limit our global understanding of humanitarian disasters triggered by climate extremes. In: Climate Extremes and Their Implications for Impact and Risk Assessment, pp. 243 - 256 (Eds. Sillmann, J.; Sippel, S.; Russo, S.). Elsevier, Amsterdam (2019)
485.
Book Chapter
Predicting landscapes from environmental conditions using generative networks. In: Pattern Recognition, DAGM GCPR 2019, pp. 203 - 217 (Eds. FInk, G. A.; Frintrop, S.; Jiang, X.). Springer, Cham (2019)
486.
Book Chapter
Recurrence quantification and recurrence network analysis of global photosynthetic activity. In: Recurrence Quantification Analysis: Theory and Best Practices, pp. 349 - 374 (Eds. Webber, C. L.; Marwan, N.). Springer, Cham [u.a.] (2014)
487.
Book Chapter
Árvore: crescimento, desenvolvimento e sua identificação. In: A floresta amazônica e suas múltiplas dimensões: uma proposta de educação ambiental. 2ed. (Eds. Higuchi, M. I. G.; Higuchi, N.). Manaus, Brasil (2012)
Conference Paper (12)
488.
Conference Paper
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)
489.
Conference Paper
Microbial methane oxidation in groundwater ecosystems. In: Conference: International Symposium of CRC 1076 AquaDiva. Conference: International Symposium of CRC 1076 AquaDiva, Jena, Germany, June 06, 2024 - June 07, 2024. (2024)
490.
Conference Paper
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)
491.
Conference Paper
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)
492.
Conference Paper
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)
493.
Conference Paper
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)
494.
Conference Paper
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)
495.
Conference Paper
Modelling landsurface time-series with recurrent neural nets. In: 2018 IEEE International geoscience and remote sensing symposium (IGARSS), pp. 7640 - 7643. Valencia, 2018 (2018)
496.
Conference Paper
Predicting landscapes as seen from space from environmental conditions. In: 2018 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 1768 - 1771. (2018)
497.
Conference Paper
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)
498.
Conference Paper
Ranking drivers of global carbon and energy fluxes over land. In: IEEE International Symposium on Geoscience and Remote Sensing IGARSS, pp. 4416 - 4419. (2015)
499.
Conference Paper
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)
Thesis - PhD (91)
500.
Thesis - PhD
Investigation of nitrogen cycle processes using enhanced Raman spectroscopy. Dissertation, Friedrich Schiller University Jena, Jena (2024)