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Due to the current situation, the offices are currently not staffed. However, the department is reachable via email.
Start of the BioS research project
- DJI M300 UAV with LiDAR sensor in burned forest stand, Yakutia
[2]- © 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 [3] and the Ammosov North-Eastern Federal University (NEFU) [4] 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 [8]. 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 [9]. Proc. SPIE 11856, Remote Sensing for Agriculture, Ecosystems, and Hydrology XXIII
Office EB5
Straße des 17. Juni 145
D - 10623 Berlin
Phone: +49 (0)30 314 - 73 29 0
Fax: +49 (0)30 314 - 23 50 7
e-mail query [10]
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