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Please note!
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Due to the current situation, the offices are currently not staffed. However, the department is reachable via email.
Job announcement: Research Associate* (d/m/w).
Geoecology, Physical Geography, Hydrology, Environmental Sciences or a related field for a research project within the DFG FG Cosmic Sense
100% TV-L E13 as soon as possible, temporary until 28.02.2025.
Application deadline: 14.04.2022.
The complete job and project description can be found on the TU-Berlin job portal
Latest publications
Aljoumani, B.; Sanchez-Espigares, J.A.; Kluge, B.; Wessolek, G.; Kleinschmit, B. Analyzing Temporal Trends of Urban Evaporation Using Generalized Additive Models. Land 2022, 11, 508. doi.org/10.3390/land11040508
Vallentin, C., Harfenmeister, K., Itzerott, S.m Kleinschmit, B., Conrad, C., Spengler, D. (2022): Suitability of satellite remote sensing data for yield estimation in northeast Germany. Precision Agric 23, 52–82. doi.org/10.1007/s11119-021-09827-6
Duarte Rocha, A., Vulova, S., van der Tol, C., Förster, M., and Kleinschmit, B. (2022): Modelling hourly evapotranspiration in urban environments with SCOPE using open remote sensing and meteorological data, Hydrol. Earth Syst. Sci., doi.org/10.5194/hess-26-1111-2022
Schulz, C., Holtrave, A.K., Kleinschmit, B. (2021): Large-scale winter catch crop monitoring with Sentinel-2 time series and machine learning–An alternative to on-site controls? Computers and Electronics in Agriculture 186(8):106173. DOI: https://doi.org/10.1016/j.compag.2021.106173
Start of the BioS research project
- DJI M300 UAV with LiDAR sensor in burned forest stand, Yakutia
- © R. Jackisch
The Department of Geoinformation in Environmental Planning coordinates the new research project 'BioS - Monitoring and Modeling of the Critical Balance of Biomass and Biodiversity in Siberia with Remote Sensing Methods', funded by the Research Fund Pro Nachhaltigkeit of TU Berlin, together with the partners of the Alfred Wegener Institute (AWI), Helmholtz Centre for Polar and Marine Research Potsdam and the Ammosov North-Eastern Federal University (NEFU) in Yakutsk, Russia.
Research Colloquium – Winter Term 2021/22
3.30 pm - via Zoom-Meeting
| 11.11.2021 | Christian Schulz | The spectral-temporal profiling of forest tree stands in Lower Saxony - How does SAR contribute to species mapping? |
|---|---|---|
| 24.11.2021 | Lukas Blickensdörfer (Thünen Institut) | Remote Sensing Based Tree Species Mapping for Germany: Discussion of First Results and State of Progress |
| 09.12.2021 | Felix Lobert (Thünen Institut) | Mowing event detection with CNNs and Sentinel-1, Sentinel-2, and Landsat 8 time series |
| 12.01.2022 | Robert Jackisch | First results of an integrated UAV-based multispectral and LiDAR survey to investigate the boreal forest in Central Yakutia, Russia |
| 26.01.2022 | Steve Ahlswede | Deep Learning for Forest Monitoring via Multi-Modal Data |
| 09.02.2022 | Paul Magdon (Uni Göttingen) | Development of an open reference database for remote sensing tree species classification based on the German National Forest Inventory |
| 02.03.2022 | Alby Duarte Rocha | R-INLA applied to Remote Sensing - spatial and spatial-temporal Bayesian models |
| 16.03.2022 | Ann-Kathrin Holtgrave | Current state of research on satellite-based detection of grassland use intensities and its implication for the new CopGrün project |
2021
Vulova, S., Meier, F., Rocha, A. D., Quanz, J., Nouri, H. and and Kleinschmit, B. (2021). Modeling urban evapotranspiration using remote sensing, flux footprints, and artificial intelligence. Science of The Total Environment
Döpper, V. U., Rocha, A. D., Gränzig, T., Kleinschmit, B. and Förster, M. (2021). Using radiative transfer models for mapping soil moisture content under grassland with UAS-borne hyperspectral data. Proc. SPIE 11856, Remote Sensing for Agriculture, Ecosystems, and Hydrology XXIII