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Due to the current situation, the offices are currently not staffed. However, the department is reachable via email.
research colloquium WiTe 20/21
15:30 - via Zoom
Start of the project FirST 2.0
The chair of Geoinformation in Environmental Planning is part of the new joint project “FirSt 2.0 - SaaS product development for cross-scale continuous vitality and forest damage analysis using multi sensor Earth observation data and artificial intelligence” funded by the Federal Ministry of Transport and Digital Infrastructure (BMVi) for the period 2020-2023. The lead of the project is the LUP GmbH. The further project partners are: LiveEO, Ororatech, the Landesforst Mecklenburg-Vorpommern, the Nationalpark Bayerischer Wald, the Thünen-Institut für Waldökosysteme, the Landesbetrieb Wald und Holz Nordrhein-Westfalen and the Waldbesitzerverband Niedersachsen.
Start of the TreeSatAI research project
- © TreeSat AI
The chair of Geoinformation in Environmental Planning is leading the new joint project “TreeSatAI - Artificial Intelligence with Earth observation and multi-source geodata for infrastructure, nature conservation and forest monitoring” funded by the Federal Ministry of Education and Research for the period 2020-2022. The project partners are: Remote Sensing Image Analysis Group of TU Berlin, LiveEO, LUP, DFKI and Vision Impulse.
2021
Rocchini, D., Salvatori, N., Beierkuhnlein, C., Chiarucci, A., de Boissieu, F., Förster, M., Garzon-Lopez, C., Gillespie, T. W., Hauffe, H., He, K., Kleinschmit, B., Lenoir, J., Malavasi, M., Moudrý, V., Nagendra, H., Payne, D., Šímová, P., Torresani, M., Wegmann, M. and Féret, J.-B. (2021). From local spectral species to global spectral communities: A benchmark for ecosystem diversity estimate by remote sensing.. Ecological Informatics. Elsevier, 1-10.
2020
Fersch, B., Francke, T., Heistermann, M., Schrön, M., Döpper, V., Jakobi, J., Baroni, G., Blume, T., Bogena, H., Budach, C., Gränzig, T., Förster, M., Güntner, A., Hendricks Franssen, H., Kasner, M., Köhli, M., Kleinschmit, B., Kunstmann, H., Patil, A., Rasche, D., Scheiffele, L., Schmidt, U., Szulc-Seyfried, S., Weimar, J., Zacharias, S., Zreda, M., Heber, B., Kiese, R., Mares, V., Mollenhauer, H., Völksch, I. and Oswald, S. (2020). A dense network of cosmic-ray neutron sensors for soil moisture observation in a highly instrumented pre-Alpine headwater catchment in Germany. Earth System Science Data, 2289-2309.
Holtgrave, A., Röder, N., Ackermann, A., Erasmi, S. and Kleinschmit, B. (2020). Comparing Sentinel-1 and -2 Data and Indices for Agricultural Land Use Monitoring. remote sensing, 1-27.
Döpper, V., Gränzig, T., Kleinschmit, B. and Förster, M. (2020). Challenges in UAS-Based TIR Imagery Processing: Image Alignment and Uncertainty Quantification.. remote sensing