Teja Kattenborn
Researcher Next ID · RN-031947
Researcher · Earth and Planetary Sciences
Freiburg im Breisgau, United Kingdom
- Works count
- 1,156
- Citation count
- 8,130
- H-index
- 34
- i10-index
- 54
Research interests
Publications
Spatially autocorrelated training and validation samples inflate performance assessment of convolutional neural networks
ISPRS Open Journal of Photogrammetry and Remote Sensing · 2022 · 10.1016/j.ophoto.2022.100018
Review on Convolutional Neural Networks (CNN) in vegetation remote sensing
ISPRS Journal of Photogrammetry and Remote Sensing · 2021 · https://doi.org/10.1016/j.isprsjprs.2020.12.010
Convolutional Neural Networks accurately predict cover fractions of plant species and communities in Unmanned Aerial Vehicle imagery
Remote Sensing in Ecology and Conservation · 2020 · 10.1002/rse2.146
Mapping forest tree species in high resolution UAV-based RGB-imagery by means of convolutional neural networks
ISPRS Journal of Photogrammetry and Remote Sensing · 2020 · https://doi.org/10.1016/j.isprsjprs.2020.10.015
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 · 2019 · https://doi.org/10.1016/j.rse.2019.03.025
Convolutional Neural Networks enable efficient, accurate and fine-grained segmentation of plant species and communities from high-resolution UAV imagery
Scientific Reports · 2019 · https://doi.org/10.1038/s41598-019-53797-9
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 · 2019 · 10.1016/j.rse.2019.01.031
Previsual symptoms of Xylella fastidiosa infection revealed in spectral plant-trait alterations
Nature Plants · 2018 · https://doi.org/10.1038/s41477-018-0189-7
Building a hybrid land cover map with crowdsourcing and geographically weighted regression
ISPRS Journal of Photogrammetry and Remote Sensing · 2014 · 10.1016/j.isprsjprs.2014.06.016
UAV-BASED PHOTOGRAMMETRIC POINT CLOUDS – TREE STEM MAPPING IN OPEN STANDS IN COMPARISON TO TERRESTRIAL LASER SCANNER POINT CLOUDS
The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences · 2013 · 10.5194/isprsarchives-xl-1-w2-141-2013
Current projects
No projects listed.