Research Assistant at the Chair of Remote Sensing and Landscape Information Systems (FeLis), Albert-Ludwigs University Freiburg.
2009 - 2012
B.Sc. Environmental Sciences (major) / Hydrology (minor), Albert-Ludwigs University Freiburg / Stellenbosch University, South Africa.
Teaching
Data analysis, Introduction to R, Scientific Research Skills
Grants & Awards
2019 Young Scientist Oral Presentation Award (1st prize) at the IAVS Annual Symposium 2019, Bremen, Germany for the presentation Combining Convolutional Neural Networks and high resolution UAV imagery – a powerful tool for vegetation mapping.
2021 DLR/BMWi-funded research project UAVforSAT - Operationalization of Vegetation Mapping through UAV-based Reference Data Acquisitions and Cloudbased Analysis of Earth Observation Data.
2019 ARCADIS prize for geo- and environmental research for the PhD thesis Linking Plant functioning and Canopy Reflectance with Radiative Transfer Modelling.
2019 Award for the best oral presentation at the EARSel SIG Imaging Spectroscopy Workshop Brno, Czech Republic, for the presentation After this Talk You will always map Leaf Pigment Content and not Concentration.
2014 Fellowship for the project Development of a UAV-Based beach-profile monitoring system on outer islands, Freunde der Universität, Albert-Ludwigs-University Freiburg, Germany.
2014 Karl-Steinbuch-fellowship 2013 for the project Development of a UAV-based Monitoring Workflow for the detection of growth deficiencies and loss on agricultural areas.
2012 DAAD-fellow (PROMOS pogramme) in the cooperation project Assessing Utilization of Lesser Known Species in Colombia, Facultad de Medio Ambiente (Universidad Distrital Francisco José de Caldas, Bogotá / Albert-Ludwigs-University, Freiburg).
Publikationen
Beiträge in referierten Zeitschriften
2020Eichel, J., Draebing, D., Kattenborn, T., Senn, J., Klingbeil, L., Wieland, M., Heinz, E. (2020): Unmanned aerial vehicle-based mapping of turf-banked solifluction lobe movement and its relation to material, geomorphometric, thermal and vegetation properties. Permafrost and Periglacial Processes 31, S. 97–109. 10.1002/ppp.2036 PDF
Kattenborn, T., Eichel, J., Wiser, S. K., Burrows, L., Fassnacht, F. E., Schmidtlein, S. (2020): Convolutional Neural Networks accurately predict cover fractions of plant species and communities in Unmanned Aerial Vehicle imagery. Remote Sensing in Ecology and Conservation (RSEC). 10.1002/rse2.146 PDF
Kattge, J., Bönisch, G., Díaz, S., Lavorel, S., Prentice, I. C., Leadley, P., Tautenhahn, S., Werner, G., ..., .., Kattenborn, T., et al., .. (2020): TRY plant trait database - enhanced coverage and open access. Global Change Biology 26, S. 119–188. 10.1111/gcb.14904 PDF
Poblete, T., Camino, C., Beck, P., Kattenborn, T., Saponari, M., Boscia, D., Navas-Cortes, J., Zarco-Tejada, P. J. (2020): Detection of Xylella fastidiosa infection symptoms with airborne multispectral and thermal imagery: assessing bandset reduction performance from hyperspectral analysis. ISPRS Journal of Photogrammetry and Remote Sensing 162, S. 27–40. 10.1016/j.isprsjprs.2020.02.010 PDF
2019Fassnacht, F. E., Schiller, C., Kattenborn, T., Zhao, X., Qu, J. (2019): A Landsat-based vegetation trend product of the Tibetan Plateau for the time-period 1990–2018. Scientific Data 6(Artikel 78). 10.1038/s41597-019-0075-9
Kattenborn, T., Eichel, J., Fassnacht, F. E. (2019): Convolutional Neural Networks enable efficient, accurate and fine-grained segmentation of plant species and communities from high-resolution UAV imagery. Nature Scientific Reports 9, S. 17656. 10.1038/s41598-019-53797-9 PDF
Kattenborn, T., Lopatin, J., Förster, M., Braun, A. C., Fassnacht, F. E. (2019): UAV data as alternative to field sampling to map woody invasive species based on combined Sentinel-1 and Sentinel-2 data. Remote Sensing of Environment 227, S. 61–73. 10.1016/j.rse.2019.03.025 PDF
Kattenborn, T., Schiefer, F., Zarco-Tejada, P. J., Schmidtlein, S. (2019): Advantages of retrieving pigment content [µg/cm²] versus concentration [%] from canopy reflectance. Remote Sensing of Environment 230(111195). 10.1016/j.rse.2019.05.014 PDF
Kattenborn, T., Schmidtlein, S. (2019): Radiative transfer modelling reveals why canopy reflectance follows function. Nature Scientific Reports. 10.1038/s41598-019-43011-1 PDF
Lopatin, J., Dolos, K., Kattenborn, T., Fassnacht, F. E. (2019): How canopy shadow affects invasive plant species classification in high spatial resolution remote sensing. Remote Sensing in Ecology and Conservation, S. 1–16. 10.1002/rse2.109 PDF
Lopatin, J., Kattenborn, T., Galleguillos, M., Perez-Quezada, J., Schmidtlein, S. (2019): Using aboveground vegetation attributes as proxies for mapping peatland belowground carbon stocks. Remote Sensing of Environment 231, S. 1–14. 10.1016/j.rse.2019.111217 PDF
Zarco-Tejada, P. J., Hornero, A., Beck, P., Kattenborn, T., Kempeneers, P., Hernández-Clemente, R. (2019): Chlorophyll content estimation in an open-canopy conifer forest with Sentinel-2A and hyperspectral imagery in the context of forest decline. Remote Sensing of Environment 223, S. 320–355. 10.1016/j.rse.2019.01.031 PDF
2018Kattenborn, T., Fassnacht, F. E., Schmidtlein, S. (2018): Differentiating plant functional types using reflectance: Which traits make the difference? Remote Sensing in Ecology and Conservation 5(1). 10.1002/rse2.86 PDF
Kattenborn, T., Hernández, J., Lopatin, J., Kattenborn, G., Fassnacht, F. E. (2018): Pilot study on the retrieval of DBH and diameter distribution of deciduous forest stands using cast shadows in UAV-based orthomosaics. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, S. 93–99. 10.5194/isprs-annals-IV-1-93-2018 PDF
Zarco-Tejada, P. J., Camino, C., Beck, P., Calderon, R., Hornero, A., Hernández-Clemente, R., Kattenborn, T., Montes-Borrego, M., Susca, L., Morelli, M., Gonzalez-Dugo, V., North, P., Landa, B., Boscia, D., Saponari, M., Navas-Cortes, J. (2018): Previsual symptoms of Xylella fastidiosa infection revealed in spectral plant-trait alterations. Nature Plants 4(7). 10.1038/s41477-018-0189-7
2017Fassnacht, F. E., Mangold, D., Schäfer, J., Immitzer, M., Kattenborn, T., Koch, B., Latifi, H. (2017): Estimating stand density, biomass and tree species from very high resolution stereo-imagery – towards an all-in-one sensor for forestry applications? Forestry 90, S. 613–631. 10.1093/forestry/cpx014 PDF
Kattenborn, T., Fassnacht, F. E., Pierce, S., Lopatin, J., Grime, J. P., Schmidtlein, S. (2017): Linking plant strategies and plant traits derived by radiative transfer modelling. Journal of Vegetation Science 28, S. 717–727. 10.1111/jvs.12525
Lopatin, J., Fassnacht, F. E., Kattenborn, T., Schmidtlein, S. (2017): Mapping plant species in mixed grassland communities using close range imaging spectroscopy. Remote Sensing of Environment 201, S. 12–23. 10.1016/j.rse.2017.08.031 PDF
2015Kattenborn, T., Maack, J., Fassnacht, F. E., Enßle, F., Ermert, J., Koch, B. (2015): Mapping forest biomass from space – Fusion of hyperspectral EO1-hyperion data and Tandem-X and WorldView-2 canopy height models. International Journal of Applied Earth Observation and Geoinformation 35, S. 359–367. 10.1016/j.jag.2014.10.008 PDF
Maack, J., Kattenborn, T., Fassnacht, F. E., Enßle, F., Hernández, J., Corvalán, P., Koch, B. (2015): Modeling forest biomass using Very-High-Resolution data - Combining textural, spectral and photogrammetric predictors derived from spaceborne stereo images. European Journal of Remote Sensing 48, S. 245–261. PDF
2014Kattenborn, T., Sperlich, M., Bataua, K., Koch, B. (2014): Automatic single palm tree detection in plantations using UAV-based photogrammetric point clouds. International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences. 10.5194/isprsarchives-XL-3-139-2014 PDF
2013Fritz, A., Kattenborn, T., Koch, B. (2013): UAV-based photogrammetric point clouds - Tree stem mapping in open stands in comparison to terrestrial laser scanner point clouds. Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. 40, S. 141–146. 10.5194/isprsarchives-xl-1-w2-141-2013 PDF
Beiträge in Zeitschriften und Reihen (nicht referiert)
2015Fassnacht, F. E., Kattenborn, T. (2015): Von Flughunden und Drohnen. Forum der Geoökologie 26, S. 15–18.
Buchkapitel
2014Koch, B., Kattenborn, T., Straub, C., Vauhkonen, J. (2014): Segmentation of forest to tree objects. S. 89–112. In: Maltamo, M., Næsset, E., Vauhkonen, J. (Hrsg.): Forestry Applications of Airborne Laser Scanning: Concepts and Case Studies.
Tagungsbände
2017Lopatin, J., Fassnacht, F. E., Kattenborn, T., Schmidtlein, S. (2017): Hyperspectral classification of grassland species: towards a UAS application for semi-automatic field surveys. Presented at EGU, Vienna, Austria, 08-13 April. Oral presentation. 10.13140/RG.2.2.25184.79361
Lopatin, J., Fassnacht, F. E., Kattenborn, T., Galleguillos, M., Jorge, P., Schmidtlein, S. (2017): Mapping peatland carbon stock: a structural equation modeling approach. Presented at IAVS, Palermo, Italy, 20-24 June. Oral presentation. 10.13140/rg.2.2.15118.46406 PDF
Veröffentlichungen in Tagungsbänden
2014Sperlich, M., Kattenborn, T., Koch, B., Kattenborn, G. (2014): Potential of Unmanned Aerial Vehicle Based Photogrammetric Point Clouds for Automatic Single Tree Detection. In: Seyfert, E., Gülch, E., Heipke, C., Schiewe, J., Sester, M. (Hrsg.): DGPF Tagungsband - Gemeinsame Tagung 2014 der DGfK, der DGPF, der GfGI und des GiN.
2013Kattenborn, T. (2013): Forest Change Assessment and Corresponding Driver Analysis in the Magdalena Department, Colombia (1985-2010). In: Seyfert, E., Gülch, E., Heipke, C., Schiewe, J., Sester, M. (Hrsg.): Tagungsband der 33. Wissenschaftlich-Technische Jahrestagung der DGPF 27.02 - 1.03. 2013.
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