Hi there, I am glad you found me! 🙋‍♂️

I am a PhD student developing a data fusion framework to estimate high-resolution subsurface soil moisture through machine learning using multi-source data from high-resolution remote sensing and cosmic-ray neutron sensing. This project is part of the PhD cohort MoDEV.

Since 2021, I am a member of the research group Terrestrial Water Dynamics at the Department of Remote Sensing at Helmholtz-Centre for Environmental Research (UFZ) Leipzig, Germany. The department is also embedded in the Remote Sensing Centre for Earth System Research (RSC4Earth), jointly founded with the Faculty of Physics and Earth Sciences at the University of Leipzig.

Interests at a glance: remote sensing, data science, data fusion, machine learning, Python, data visualization

Publications


Comprehensive quality assessment of satellite- and model-based soil moisture products against the COSMOS network in Germany


Toni Schmidt, Martin Schrön, Zhan Li, Till Francke, Steffen Zacharias, Anke Hildebrandt, Jian Peng

Remote Sensing of Environment, vol. 301, 2024, p. 113930


Potential of Optical Spaceborne Sensors for the Differentiation of Plastics in the Environment


Toni Schmidt, Theres Kuester, Taylor Smith, Mathias Bochow

Remote Sensing, vol. 15(8), 2023


Soil moisture products underestimated plant-relevant dry-down during the recent drought in Germany


Toni Schmidt, Martin Schrön, Zhan Li, Till Francke, Steffen Zacharias, Anke Hildebrandt, Jian Peng

EGU23-14842, EGU General Assembly 2023, Vienna, Austria, 2023 Apr 28


Intercomparison of current soil moisture products from remote sensing and modeling over COSMOS field sites in Germany


Toni Schmidt, Martin Schrön, Zhan Li, Jian Peng

EGU22-10336, EGU General Assembly 2022, Vienna, Austria, 2022 May 23


Moisture origin as a driver of temporal variabilities of the water vapour isotopic composition in the Lena River Delta, Siberia


Jean-Louis Bonne, Hanno Meyer, Melanie Behrens, Julia Boike, Sepp Kipfstuhl, Benjamin Rabe, Toni Schmidt, Lutz Schönicke, Hans Christian Steen-Larsen, Martin Werner

Atmospheric Chemistry and Physics, vol. 20(17), 2020, pp. 10493–10511

Projects




AI-Based Profile Soil Moisture


Using AI to fuse multi-source data from high-resolution remote and in-situ sensing




15 Soil Moisture Products: Microwaves vs. Cosmic Rays


Intercomparison of current soil moisture products from remote sensing and modeling over COSMOS-Europe field sites in Germany

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