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  1. Controls of spatio-temporal patterns of soil respiration in a mixed forest

    Article • January 2026, openRxiv

    Dr Teja Kattenborn

  2. Strong toluene and p-cymene emission from waterlogged hotspots of a temperate mixed-forest soil

    Article • December 2025, Copernicus GmbH

    Dr Teja Kattenborn

  3. Supplementary material to "Strong toluene and p-cymene emission from waterlogged hotspots of a temperate mixed-forest soil"

    Article • December 2025, Copernicus GmbH

    Dr Teja Kattenborn

  4. Global, multi-scale standing deadwood segmentation in centimeter-scale aerial images

    Article • ISPRS Open Journal of Photogrammetry and Remote Sensing, December 2025, Elsevier

    Dr Teja Kattenborn

  5. Automated mask generation in citizen science smartphone photos and their value for mapping plant species in drone imagery

    Article • Biogeosciences, November 2025, Copernicus GmbH

    Dr Teja Kattenborn

  6. Supplementary material to "The ECOSENSE forest: A distributed sensor and data management system for real-time monitoring of ecosystem processes and stresses"

    Article • October 2025, Copernicus GmbH

    Dr Teja Kattenborn

  7. The ECOSENSE forest: A distributed sensor and data management system for real-time monitoring of ecosystem processes and stresses

    Article • October 2025, Copernicus GmbH

    Dr Teja Kattenborn

  8. The seismic fingerprint of wind‐induced tree sway

    Article • Methods in Ecology and Evolution, October 2025, Wiley

    Dr Teja Kattenborn

  9. Unraveling the seasonality of functional diversity through remote sensing

    Article • Communications Earth & Environment, October 2025, Springer Science + Business Media

    Dr Teja Kattenborn

  10. AngleCam V2: Predicting leaf inclination angles across taxa from daytime and nighttime photos

    Article • September 2025, Cold Spring Harbor Laboratory Press

    Dr Teja Kattenborn

  11. Litter vs. Lens: Evaluating LAI from Litter Traps and Hemispherical Photos Across View Zenith Angles and Leaf Fall Phases

    Article • May 2025, Copernicus GmbH

    Dr Teja Kattenborn

  12. Prediction in trait-based ecology: global simulations of specific leaf area using a trait-based dynamic vegetation model

    Article • April 2025, Cold Spring Harbor Laboratory Press

    Dr Teja Kattenborn

  13. Supplementary material to "Uncertainty Assessment in Deep Learning-based Plant Trait Retrievals from Hyperspectral data"

    Article • April 2025, Copernicus GmbH

    Dr Teja Kattenborn

  14. Uncertainty Assessment in Deep Learning-based Plant Trait Retrievals from Hyperspectral data

    Article • April 2025, Copernicus GmbH

    Dr Teja Kattenborn

  15. Forest Dieback in Drinking Water Protection Areas—A Hidden Threat to Water Quality

    Article • Earth s Future, April 2025, American Geophysical Union (AGU)

    Dr Teja Kattenborn

  16. TreeAI: a global database for tree species annotations and high-resolution aerial imagery

    Article • March 2025, Copernicus GmbH

    Dr Teja Kattenborn

  17. Anthropocene Plant Migration: Regional Shifts in Trait Patterns and Functional Diversity

    Article • March 2025, Copernicus GmbH

    Dr Teja Kattenborn

  18. Deep learning for identification of 3D plant growth forms in Fractional Vegetation Cover

    Article • March 2025, Copernicus GmbH

    Dr Teja Kattenborn

  19. Forest Dieback Poses a Hidden Threat to Drinking Water Quality

    Article • March 2025, Copernicus GmbH

    Dr Teja Kattenborn

  20. From satellites to smartphones: harnessing citizen science and Earth observation to unlock global perspectives on plant functional diversity

    Article • March 2025, Copernicus GmbH

    Dr Teja Kattenborn

  21. PlantTraitNet: A Multi-Modal, Multi-Task Approach to Learning Global Plant Trait Patterns Using Citizen Science Data and Noisy Labels

    Article • March 2025, Copernicus GmbH

    Dr Teja Kattenborn

  22. Seasonal and Diurnal Dynamics of Sun-Induced Fluorescence and Photosynthesis in Fagus sylvatica and Tilia cordata.

    Article • March 2025, Copernicus GmbH

    Dr Teja Kattenborn

  23. deadtrees.earth: tree mortality monitoring from local to global scales with AI and remote sensing

    Article • March 2025, Copernicus GmbH

    Dr Teja Kattenborn

  24. Elucidating spatio-temporal throughfall dynamics with ULS derived forest structure density metrics

    Article • March 2025, Copernicus GmbH

    Dr Teja Kattenborn

  25. Mapping Fractional Tree Mortality and Tree Cover at Global Scale Using Sentinel-1 and 2

    Article • March 2025, Copernicus GmbH

    Dr Teja Kattenborn

  26. Mapping Tree Hydraulics and Assemblages at Continental Scale

    Article • March 2025, Copernicus GmbH

    Dr Teja Kattenborn

  27. Plant macrophenological dynamics - variations in plant group behaviour revealed by citizen science data

    Article • March 2025, Copernicus GmbH

    Dr Teja Kattenborn

  28. The Seismic Fingerprint of Tree Sway

    Article • March 2025, Copernicus GmbH

    Dr Teja Kattenborn

  29. From Ground Photos to Aerial Insights: Automating Citizen Science Labeling for Tree Species Segmentation in UAV Images

    Article • February 2025, Copernicus GmbH

    Dr Teja Kattenborn

  30. Large-scale remote sensing reveals that tree mortality in Germany appears to be greater than previously expected

    Article • Forestry An International Journal of Forest Research, December 2024, Oxford University Press (OUP)

    Dr Teja Kattenborn

  31. Plant trait retrieval from hyperspectral data: Collective efforts in scientific data curation outperform simulated data derived from the PROSAIL model

    Article • ISPRS Open Journal of Photogrammetry and Remote Sensing, December 2024, Elsevier

    Dr Teja Kattenborn

  32. Crowd-sourced trait data can be used to delimit global biomes

    Article • Biogeosciences, November 2024, Copernicus GmbH

    Dr Teja Kattenborn

  33. Large-scale remote sensing reveals that tree mortality in Germany appears to be greater than previously expected

    Article • November 2024, Cold Spring Harbor Laboratory Press

    Dr Teja Kattenborn

  34. Temporal dynamics in vertical leaf angles can confound vegetation indices widely used in Earth observations

    Article • Communications Earth & Environment, October 2024, Springer Science + Business Media

    Dr Teja Kattenborn

  35. Forest dieback in drinking water protection areas – a hidden threat to water quality

    Article • August 2024, Cold Spring Harbor Laboratory Press

    Dr Teja Kattenborn

  36. Macrophenological dynamics from citizen science plant occurrence data

    Article • Methods in Ecology and Evolution, July 2024, Wiley

    Dr Teja Kattenborn

  37. From simple labels to semantic image segmentation: leveraging citizen science plant photographs for tree species mapping in drone imagery

    Article • Biogeosciences, June 2024, Copernicus GmbH

    Dr Teja Kattenborn

  38. DeepFeatures: Remote sensing beyond spectral indices

    Article • March 2024, Copernicus GmbH

    Dr Teja Kattenborn

  39. High-resolution mapping of tree mortality in European forests

    Article • March 2024, Copernicus GmbH

    Dr Teja Kattenborn

  40. Plant macrophenological dynamics - from individuals to plant group behaviour using citizen science data

    Article • March 2024, Copernicus GmbH

    Dr Teja Kattenborn

  41. Global-scale plant trait-environment relationships based on sPlotOpen and TRY data

    Article • March 2024, Copernicus GmbH

    Dr Teja Kattenborn

  42. deadtrees.earth - an open, dynamic database for accessing, contributing, analyzing, and visualizing remote sensing-based tree mortality data.

    Article • March 2024, Copernicus GmbH

    Dr Teja Kattenborn

  43. Combining citizen science and Earth observation data to produce global maps of 31 plant traits

    Article • March 2024, Copernicus GmbH

    Dr Teja Kattenborn

  44. How trees sway and what it tells us about their overall vitality

    Article • March 2024, Copernicus GmbH

    Dr Teja Kattenborn

  45. Investigating Deep Learning Techniques to Estimate Fractional Vegetation Cover in the Australian Semi-arid Ecosystems combining Drone-based RGB imagery, multispectral Imagery and LiDAR data.

    Article • March 2024, Copernicus GmbH

    Dr Teja Kattenborn

  46. Leveraging Crowd-sourced Biodiversity Data for an Enhanced Plant Functional Trait Mapping

    Article • March 2024, Copernicus GmbH

    Dr Teja Kattenborn

  47. TRY - Plant Trait Database

    Article • March 2024, Copernicus GmbH

    Dr Teja Kattenborn

  48. Crowd-sourced trait data can be used to delimit global biomes

    Article • February 2024, Copernicus GmbH

    Dr Teja Kattenborn

  49. Supplementary material to "Crowd-sourced trait data can be used to delimit global biomes"

    Article • February 2024, Copernicus GmbH

    Dr Teja Kattenborn

  50. Intercomparison of global foliar trait maps reveals fundamental differences and limitations of upscaling approaches

    Article • December 2023, California Digital Library (CDL)

    Dr Teja Kattenborn

  51. From simple labels to semantic image segmentation: Leveraging citizen science plant photographs for tree species mapping in drone imagery

    Article • December 2023, Copernicus GmbH

    Dr Teja Kattenborn

  52. Biodiversity and climate extremes: known interactions and research gaps

    Article • September 2023, Authorea, Inc.

    Claudia Guimaraes-Steinicke, Dr Teja Kattenborn

  53. Pattern to process, research to practice: remote sensing of plant invasions

    Article • Biological Invasions, August 2023, Springer Science + Business Media

    Dr Teja Kattenborn

  54. Data Cubes for Earth System Research: Challenges Ahead

    Article • July 2023, California Digital Library (CDL)

    Dr Teja Kattenborn

  55. Monitoring solifluction movement in space and time: A semi-automated high-resolution approach

    Article • Geomorphology, July 2023, Elsevier

    Dr Teja Kattenborn

  56. UAV-based reference data for the prediction of fractional cover of standing deadwood from Sentinel time series

    Article • ISPRS Open Journal of Photogrammetry and Remote Sensing, April 2023, Elsevier

    Dr Teja Kattenborn

  57. AngleCam - Tracking leaf angle distributions through time with image series and deep learning

    Article • February 2023, Copernicus GmbH

    Dr Teja Kattenborn

  58. From spectra to functional plant traits: Transferable multi-trait models from heterogeneous and sparse data

    Article • February 2023, Copernicus GmbH

    Dr Teja Kattenborn

  59. Transfer learning from citizen science photos enables plantspecies identification in UAV imagery

    Article • February 2023, Copernicus GmbH

    Dr Teja Kattenborn

  60. Citizen science observations capture global patterns of plant traits

    Article • February 2023, Copernicus GmbH

    Dr Teja Kattenborn

  61. Citizen science plant observations encode global trait patterns

    Article • Nature Ecology & Evolution, October 2022, Springer Science + Business Media

    Dr Teja Kattenborn

  62. AngleCam : Predicting the temporal variation of leaf angle distributions from image series with deep learning

    Article • Methods in Ecology and Evolution, October 2022, Wiley

    Dr Teja Kattenborn, Claudia Guimaraes-Steinicke

  63. Spatially autocorrelated training and validation samples inflate performance assessment of convolutional neural networks

    Article • ISPRS Open Journal of Photogrammetry and Remote Sensing, June 2022, Elsevier

    Dr Teja Kattenborn

  64. Review on Convolutional Neural Networks (CNN) in vegetation remote sensing

    Article • ISPRS Journal of Photogrammetry and Remote Sensing, March 2021, Elsevier

    Dr Teja Kattenborn

  65. The retrieval of plant functional traits from canopy spectra through RTM-inversions and statistical models are both critically affected by plant phenology

    Article • Ecological Indicators, February 2021, Elsevier

    Dr Teja Kattenborn

  66. Mapping forest tree species in high resolution UAV-based RGB-imagery by means of convolutional neural networks

    Article • ISPRS Journal of Photogrammetry and Remote Sensing, December 2020, Elsevier

    Dr Teja Kattenborn

  67. Convolutional Neural Networks accurately predict cover fractions of plant species and communities in Unmanned Aerial Vehicle imagery

    Article • Remote Sensing in Ecology and Conservation, February 2020, Wiley

    Dr Teja Kattenborn

  68. Unmanned aerial vehicle-based mapping of turf-banked solifluction lobe movement and its relation to material, geomorphometric, thermal and vegetation properties

    Article • Permafrost and Periglacial Processes, January 2020, Wiley

    Dr Teja Kattenborn

  69. Deep Learning enables to identify plant species in aerial imagery

    Article • Scientific Reports, November 2019, Springer Science + Business Media

    Dr Teja Kattenborn

  70. Advantages of retrieving pigment content [μg/cm2] versus concentration [%] from canopy reflectance

    Article • Remote Sensing of Environment, September 2019, Elsevier

    Dr Teja Kattenborn

  71. Using aboveground vegetation attributes as proxies for mapping peatland belowground carbon stocks

    Article • Remote Sensing of Environment, September 2019, Elsevier

    Dr Teja Kattenborn

  72. UAV data as alternative to field sampling to map woody invasive species based on combined Sentinel-1 and Sentinel-2 data

    Article • Remote Sensing of Environment, June 2019, Elsevier

    Dr Teja Kattenborn

  73. A Landsat-based vegetation trend product of the Tibetan Plateau for the time-period 1990–2018

    Article • Scientific Data, May 2019, Springer Science + Business Media

    Dr Teja Kattenborn

  74. The functioning of plants determines how they reflect light

    Article • Scientific Reports, April 2019, Springer Science + Business Media

    Dr Teja Kattenborn

  75. Chlorophyll content estimation in an open-canopy conifer forest with Sentinel-2A and hyperspectral imagery in the context of forest decline

    Article • Remote Sensing of Environment, March 2019, Elsevier

    Dr Teja Kattenborn

  76. Proximal VIS-NIR spectrometry to retrieve substance concentrations in surface waters using partial least squares modelling

    Article • Water Science & Technology Water Supply, October 2018, IWA Publishing

    Dr Teja Kattenborn

  77. PILOT STUDY ON THE RETRIEVAL OF DBH AND DIAMETER DISTRIBUTION OF DECIDUOUS FOREST STANDS USING CAST SHADOWS IN UAV-BASED ORTHOMOSAICS

    Article • ISPRS Annals of the Photogrammetry Remote Sensing and Spatial Information Sciences, September 2018, Copernicus GmbH

    Dr Teja Kattenborn

  78. Differentiating plant functional types using reflectance: which traits make the difference?

    Article • Remote Sensing in Ecology and Conservation, July 2018, Wiley

    Dr Teja Kattenborn

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

    Article • July 2018, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Teja Kattenborn

  80. Previsual symptoms of Xylella fastidiosa infection revealed in spectral plant-trait alterations

    Article • Nature Plants, June 2018, Springer Science + Business Media

    Dr Teja Kattenborn

  81. Mapping plant species in mixed grassland communities using close range imaging spectroscopy

    Article • Remote Sensing of Environment, November 2017, Elsevier

    Dr Teja Kattenborn

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

    Article • June 2017, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Teja Kattenborn

  83. Linking plant strategies and plant traits derived by radiative transfer modelling

    Article • Journal of Vegetation Science, April 2017, Wiley

    Dr Simon Pierce, Dr Teja Kattenborn

  84. Estimating stand density, biomass and tree species from very high resolution stereo-imagery – towards an all-in-one sensor for forestry applications?

    Article • Forestry An International Journal of Forest Research, March 2017, Oxford University Press (OUP)

    Dr Teja Kattenborn

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

    Article • August 2016, Institute of Electrical & Electronics Engineers (IEEE)

    Dr Teja Kattenborn

  86. 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. Geoinf. Issue no. 35 (2015) 359-367]

    Article • International Journal of Applied Earth Observation and Geoinformation, September 2015, Elsevier

    Dr Teja Kattenborn

  87. Building a hybrid land cover map with crowdsourcing and geographically weighted regression

    Article • ISPRS Journal of Photogrammetry and Remote Sensing, May 2015, Elsevier

    Dr Teja Kattenborn

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

    Article • International Journal of Applied Earth Observation and Geoinformation, March 2015, Elsevier

    Dr Teja Kattenborn

  89. Modeling forest biomass using Very-High-Resolution data—Combining textural, spectral and photogrammetric predictors derived from spaceborne stereo images

    Article • European Journal of Remote Sensing, January 2015, Taylor & Francis

    Dr Teja Kattenborn

  90. Automatic Single Tree Detection in Plantations using UAV-based Photogrammetric Point clouds

    Article • August 2014, Copernicus GmbH

    Dr Teja Kattenborn

  91. Segmentation of Forest to Tree Objects

    Article • March 2013, Springer Science + Business Media

    Dr Teja Kattenborn