TK
Teja Kattenborn
cs.CVEnvironmental MonitoringEnvironmental SciencesComputer SciencesEarth SciencesecologyPhysical Sciences and MathematicsPlantsArtificial Intelligence and RoboticsBiogeochemistry
On Valency
published · living versionsW_xbcpb9k9·v1 · currentpublished
3Dtrees.earth: community research infrastructure for tree and forest analysis using close-range LiDAR data
with Janusch Vajna-Jehle, Kilian Gerberding, Daniel Lusk, Julia Sophie Gäßler +273
1 version
W_52yy48ct·v1published
Preprints & journals
35 papers in the corpus · 2018–2026AerialStamp: dating aerial orthophotos from visual cues and Sentinel-2 time seriesx5sz4q · Clemens Mosig, David Montero Loaiza, Miguel Mahecha et al.2026 · 0 citationsEarthArXiv
Turning spectra into images improves plant trait retrieval with 2D-CNNs2608.16661v1 · Javier Lopatin, Teja Kattenborn, Eya Cherif et al.2026 · 0 citationsarXivon Valency
Introducing GalaxyR: an easy-to-use R implementation of the Galaxy API.42581344 · Frey, Julian, Schindler, Zoe, Ali, Muhammad et al.2026 · 1 citationBMC bioinformatics. 2026;27(1)
Spectrally structured CNN encoding for interpretable and edgeready fractional vegetation cover mapping using UAS multispectral and imaging spectroscopyx5pv20 · Laura Sotomayor, Arko Lucieer, Ryan Haynes et al.2026 · 0 citationsEarthArXiv
deadtrees.earth-aerial: A Multi-Resolution Aerial Image Dataset for Tree Cover and Mortality Detection2605.19605v2 · Ayushi Sharma, Clemens Mosig, Lukas Drees et al.2026 · 0 citationsarXiv
Remote sensing and deep learning for standing dead-tree detection and mapping: A review of advances, challenges, and future directionsx5bz05 · Anwarul Islam Chowdhury, Mirela Beloiu, Teja Kattenborn et al.2026 · 0 citationsEarthArXiv
From 2D labels to 3D structure: Scalable label transfer and benchmarking of 3D vegetation models in rangeland ecosystemsx5948m · Laura Sotomayor, Arko Lucieer, Darren Turner et al.2026 · 0 citationsEarthArXiv
Leveraging remote sensing and crowd-sourced biodiversity data for enhanced plant functional trait mapping.42014391 · Moreno-Martínez, Álvaro, Muñoz-Marí, Jordi, Adsuara, Jose E et al.2026 · 0 citationsNature communications. 2026;17(1)
Global Convergence of Plant Functional Trait Composition in the Anthropocene10.64898/2026.03.27.714725v1 · Wolf, S., Svidzinska, D., Schellenberger Costa, D. et al.2026 · 0 citationsbioRxiv
Advances in tree species identification from high-resolution aerial imagery and deep learningx5rf47 · Zhongyu Xia, Teja Kattenborn, Jan Wegner et al.2026 · 0 citationsEarthArXiv
Nationwide deadwood mapping reveals rising mountain forests vulnerabilityx59j3v · Luca Ferrari, Lars Waser, Achilleas Psomas et al.2026 · 0 citationsEarthArXiv
Sub-pixel mapping of disturbance and tree mortality dynamics from Sentinel-2 time series around the globex5b18w · Clemens Mosig, Teja Kattenborn, David Montero Loaiza et al.2026 · 4 citationsEarthArXiv
Accelerated north-east shift of the global green wave trajectory.41730109 · Mahecha, Miguel D, Kraemer, Guido, Reinhardt, Martin et al.2026 · 2 citationsProceedings of the National Academy of Sciences of the United States of America. 2026;123(9):e2515835123
Crowdsourced biodiversity monitoring fills gaps in global plant trait mapping.41617716 · Lusk, Daniel, Wolf, Sophie, Svidzinska, Daria et al.2026 · 8 citationsNature communications. 2026;17(1):1203
Predictions of spatio-temporal patterns of soil respiration in a mixed forest: Downscaled meteorological data outperform local parameters10.64898/2026.01.21.700858v3 · Brzozon, J., Lang, F., Schwarzkopf, P. et al.2026 · 0 citationsbioRxiv
PlantTraitNet: An Uncertainty-Aware Multimodal Framework for Global-Scale Plant Trait Inference from Citizen Science Data2511.06943v3 · Ayushi Sharma, Johanna Trost, Daniel Lusk et al.2025 · 2 citationsarXiv
Insights from the Unseen - Occlusion in Forest Laser Scanningx5n16x · Daniel Kükenbrink, Matthias Gassilloud, Benjamin Brede et al.2025 · 1 citationEarthArXiv
AngleCam V2: Predicting leaf inclination angles across taxa from daytime and nighttime photos10.1101/2025.09.17.676742v1 · Kremer, L., Pisek, J., Richter, R. et al.2025 · 1 citationbioRxiv
The Seismic Fingerprint of Tree Swayx5zj0m · Josefine Umlauft, Karin Mora, Fabian Limberger et al.2025 · 0 citationsEarthArXiv
GreenHyperSpectra: A multi-source hyperspectral dataset for global vegetation trait prediction2507.06806v3 · Eya Cherif, Arthur Ouaknine, Luke A. Brown et al.2025 · 2 citationsarXiv
Large-scale remote sensing reveals that tree mortality in Germany appears to be greater than previously expected10.1101/2024.11.10.622853v1 · Schiefer, F., Schmidtlein, S., Hartmann, H. et al.2024 · 17 citationsbioRxiv
DivShift: Exploring Domain-Specific Distribution Shifts in Large-Scale, Volunteer-Collected Biodiversity Datasets2410.19816v5 · Elena Sierra, Lauren E. Gillespie, Salim Soltani et al.2024 · 9 citationsProceedings of the AAAI Conference on Artificial Intelligence 39(27) 28386-28396 (2025)
Forest dieback in drinking water protection areas - a hidden threat to water quality10.1101/2024.08.07.606951v1 · Winter, C., Mueller, S., Kattenborn, T. et al.2024 · 11 citationsbioRxiv
Earth System Data Cubes: Avenues for advancing Earth system research2408.02348v1 · David Montero, Guido Kraemer, Anca Anghelea et al.2024 · 29 citationsEnviron. Data Science 3 (2024) e27
OpenForest: A data catalogue for machine learning in forest monitoring2311.00277v3 · Arthur Ouaknine, Teja Kattenborn, Etienne Lalibert'e et al.2023 · 5 citationsarXiv
Intercomparison of global foliar trait maps reveals fundamental differences and limitations of upscaling approachesx58s97 · Benjamin Dechant, Jens Kattge, Ryan Pavlick et al.2023 · 12 citationsEarthArXiv
Citizen science plant observations encode global trait patterns.36266458 · Wolf, Sophie, Mahecha, Miguel D, Sabatini, Francesco Maria et al.2022 · 63 citationsNature ecology & evolution. 2022;6(12):1850-1859
Automated mapping of Portulacaria afra canopies for restoration monitoring with convolutional neural networks and heterogeneous unmanned aerial vehicle imagery.36262418 · Galuszynski, Nicholas C, Duker, Robbert, Potts, Alastair J et al.2023 · 8 citationsPeerJ. 2022;10:e14219
Deep learning and citizen science enable automated plant trait predictions from photographs.34385494 · Schiller, Christopher, Schmidtlein, Sebastian, Boonman, Coline et al.2021 · 61 citationsScientific reports. 2021;11(1):16395
TRY plant trait database - enhanced coverage and open access.31891233 · Kattge, Jens, Bönisch, Gerhard, Díaz, Sandra et al.2020 · 2,101 citationsGlobal change biology. 2020;26(1):119-188
Convolutional Neural Networks enable efficient, accurate and fine-grained segmentation of plant species and communities from high-resolution UAV imagery.31776370 · Kattenborn, Teja, Eichel, Jana, Fassnacht, Fabian Ewald2020 · 261 citationsScientific reports. 2019;9(1):17656
A Landsat-based vegetation trend product of the Tibetan Plateau for the time-period 1990-2018.31148554 · Fassnacht, Fabian Ewald, Schiller, Christopher, Kattenborn, Teja et al.2020 · 58 citationsScientific data. 2019;6(1):78
Radiative transfer modelling reveals why canopy reflectance follows function.31024052 · Kattenborn, Teja, Schmidtlein, Sebastian2020 · 33 citationsScientific reports. 2019;9(1):6541
Chlorophyll content estimation in an open-canopy conifer forest with Sentinel-2A and hyperspectral imagery in the context of forest decline.31007289 · Zarco-Tejada, P J, Hornero, A, Beck, P S A et al.2020 · 188 citationsRemote sensing of environment. 2019;223:320-335
Previsual symptoms of Xylella fastidiosa infection revealed in spectral plant-trait alterations.29942047 · Zarco-Tejada, P J, Camino, C, Beck, P S A et al.2019 · 384 citationsNature plants. 2018;4(7):432-439
Career total: 809 works. 35 are in this corpus.
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