Dr Teja Kattenborn

  • Karlsruhe Institute of Technology (KIT)
  • Germany

My co-authors include

Dr Simon Pierce

Find me at

My Publications

Deep Learning enables to identify plant species in aerial imagery

  • Scientific Reports
  • November 2019
  • In many disciplines (e.g. forestry, nature conservation or agriculture) there is an interest to know the location of certain plant species or communities. Aerial Imagery derived from airplanes or U...

The functioning of plants determines how they reflect light

  • Scientific Reports
  • April 2019
  • The physiology and structure of vascular plant canopies are primarily optimized towards two functions: The absorption of solar energy using the photosynthetic machinery and the assimilation of carb...

Citizen science plant observations encode global trait patterns

  • Nature Ecology & Evolution
  • October 2022

<scp>AngleCam</scp> : Predicting the temporal variation of leaf angle distr...

  • Methods in Ecology and Evolution
  • October 2022

Spatially autocorrelated training and validation samples inflate performance assessment...

  • ISPRS Open Journal of Photogrammetry and Remote Sensing
  • June 2022

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

  • ISPRS Journal of Photogrammetry and Remote Sensing
  • March 2021

The retrieval of plant functional traits from canopy spectra through RTM-inversions and...

  • Ecological Indicators
  • February 2021

Mapping forest tree species in high resolution UAV-based RGB-imagery by means of convol...

  • ISPRS Journal of Photogrammetry and Remote Sensing
  • December 2020

Convolutional Neural Networks accurately predict cover fractions of plant species and c...

  • Remote Sensing in Ecology and Conservation
  • February 2020

Unmanned aerial vehicle-based mapping of turf-banked solifluction lobe movement and its...

  • Permafrost and Periglacial Processes
  • January 2020

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

  • Remote Sensing of Environment
  • September 2019

Using aboveground vegetation attributes as proxies for mapping peatland belowground car...

  • Remote Sensing of Environment
  • September 2019

UAV data as alternative to field sampling to map woody invasive species based on combin...

  • Remote Sensing of Environment
  • June 2019

A Landsat-based vegetation trend product of the Tibetan Plateau for the time-period 199...

  • Scientific Data
  • May 2019

Chlorophyll content estimation in an open-canopy conifer forest with Sentinel-2A and hy...

  • Remote Sensing of Environment
  • March 2019

Proximal VIS-NIR spectrometry to retrieve substance concentrations in surface waters us...

  • Water Science & Technology Water Supply
  • October 2018

PILOT STUDY ON THE RETRIEVAL OF DBH AND DIAMETER DISTRIBUTION OF DECIDUOUS FOREST STAND...

  • ISPRS Annals of the Photogrammetry Remote Sensing and Spatial Information Sciences
  • September 2018

Differentiating plant functional types using reflectance: which traits make the differe...

  • Remote Sensing in Ecology and Conservation
  • July 2018

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

  • July 2018

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

  • Nature Plants
  • June 2018

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

  • Remote Sensing of Environment
  • November 2017

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

  • June 2017

Linking plant strategies and plant traits derived by radiative transfer modelling

  • Journal of Vegetation Science
  • April 2017

Estimating stand density, biomass and tree species from very high resolution stereo-ima...

  • Forestry An International Journal of Forest Research
  • March 2017

Linking plant strategies (CSR) and remotely sensed plant traits

  • August 2016

Corrigendum to “Mapping forest biomass from space – Fusion of hyperspectralEO1-hyperion...

  • International Journal of Applied Earth Observation and Geoinformation
  • September 2015

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

  • ISPRS Journal of Photogrammetry and Remote Sensing
  • May 2015

Mapping forest biomass from space – Fusion of hyperspectral EO1-hyperion data and Tande...

  • International Journal of Applied Earth Observation and Geoinformation
  • March 2015

Modeling forest biomass using Very-High-Resolution data—Combining textural, spectral an...

  • European Journal of Remote Sensing
  • January 2015

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

  • August 2014

Segmentation of Forest to Tree Objects

  • March 2013