Teja Kattenborn

According to our database, Teja Kattenborn authored at least 12 papers between 2015 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

PlantTraitNet: An Uncertainty-Aware Multimodal Framework for Global-Scale Plant Trait Inference from Citizen Science Data.

Ayushi Sharma, Johanna Trost, Daniel Lusk, Johannes Dollinger, Julian Schrader, Christian Rossi, Javier Lopatin, Etienne Laliberté, Simon Haberstroh, Jana Eichel, Daniel Mederer, Jose Miguel Cerda-Paredes, Shyam S. Phartyal, Lisa-Maricia Schwarz, Anja Linstädter, Maria Conceição Caldeira, Teja Kattenborn

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

GreenHyperSpectra: A multi-source hyperspectral dataset for global vegetation trait prediction.

Eya Cherif, Arthur Ouaknine, Luke A. Brown, Phuong D. Dao, Kyle R. Kovach, Bing Lu, Daniel Mederer, Hannes Feilhauer, Teja Kattenborn, David Rolnick

CoRR, July, 2025

DivShift: Exploring Domain-Specific Distribution Shifts in Large-Scale, Volunteer-Collected Biodiversity Datasets.

Elena Sierra, Lauren E. Gillespie, Salim Soltani, Moisés Expósito-Alonso, Teja Kattenborn

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

DivShift: Exploring Domain-Specific Distribution Shift in Volunteer-Collected Biodiversity Datasets.

Elena Sierra, Lauren E. Gillespie, Salim Soltani, Moisés Expósito-Alonso, Teja Kattenborn

CoRR, 2024

Earth System Data Cubes: Avenues for advancing Earth system research.

David Montero, Guido Kraemer, Anca Anghelea, César Aybar, Gunnar Brandt, Gustau Camps-Valls, Felix Cremer, Ida Flik, Fabian Gans, Sarah Habershon, Chaonan Ji, Teja Kattenborn, Laura Martínez-Ferrer, Francesco Martinuzzi, Martin Reinhardt, Maximilian Söchting, Khalil Teber, Miguel D. Mahecha

CoRR, 2024

2023

OpenForest: A data catalogue for machine learning in forest monitoring.

Arthur Ouaknine, Teja Kattenborn, Etienne Laliberté, David Rolnick

CoRR, 2023

2021

Explaining Sentinel 2-based dNBR and RdNBR variability with reference data from the bird's eye (UAS) perspective.

Fabian Ewald Fassnacht, Ephraim Schmidt-Riese, Teja Kattenborn, Jaime Hernández

Int. J. Appl. Earth Obs. Geoinformation, 2021

2018

Modis-Based Grassland Trends Within and Around the Kekexili Core Protection Zone of the Sanjiangyuan Nature Reserve.

Fabian Ewald Fassnacht, Christopher Schiller, Jiapeng Qu, Teja Kattenborn, Xinquan Zhao

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017

Detecting the spread of invasive species in central Chile with a Sentinel-2 time-series.

Michael Förster, Tobias Schmidt, Roman Wolf, Birgit Kleinschmit, Fabian Ewald Fassnacht, Julian Cabezas, Teja Kattenborn

Proceedings of the 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images, 2017

2016

Linking plant strategies (CSR) and remotely sensed plant traits.

Teja Kattenborn, Javier Lopatin, Fabian Faßnacht, Sebastian Schmidtlein

Proceedings of the 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2016

2015

Corrigendum to "Mapping forest biomass from space - Fusion of hyperspectralEO1-hyperion data and Tandem-X and WorldView-2 canopy heightmodels" [Int. J. Appl. Earth Obs. Geoinfation 35 (2015) 359-367].

Teja Kattenborn, Joachim Maack, Fabian Faßnacht, Fabian Enßle, Jörg Ermert, Barbara Koch

Int. J. Appl. Earth Obs. Geoinformation, 2015

Mapping forest biomass from space - Fusion of hyperspectral EO1-hyperion data and Tandem-X and WorldView-2 canopy height models.

Teja Kattenborn, Joachim Maack, Fabian Faßnacht, Fabian Enßle, Jörg Ermert, Barbara Koch

Int. J. Appl. Earth Obs. Geoinformation, 2015