Teja Kattenborn
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Zitiert von
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UAV-based Photogrammetric Point Clouds – Tree Stem Mapping in open Stands in comparison to Terrestrial Laser Scanner Point Clouds
A Fritz, T Kattenborn, B Koch
ISPRS - International Archives of the Photogrammetry, Remote Sensing and …, 2013
1552013
TRY plant trait database–enhanced coverage and open access
J Kattge, G Bönisch, S Díaz, S Lavorel, IC Prentice, P Leadley, ...
Global change biology 26 (1), 119-188, 2020
1342020
Previsual symptoms of Xylella fastidiosa infection revealed in spectral plant-trait alterations
PJ Zarco-Tejada, C Camino, PSA Beck, R Calderon, A Hornero, ...
Nature Plants 4 (7), 432-439, 2018
932018
Automatic Single Palm Tree Detection in Plantation using UAV-based Photogrammetric Point Clouds
T Kattenborn, M Sperlich, K Bataua, B Koch
Remote Sensing and Spatial Information Sciences 3 (XL-3), 139-146, 2014
70*2014
Building a hybrid land cover map with crowdsourcing and geographically weighted regression
L See, D Schepaschenko, M Lesiv, I McCallum, S Fritz, A Comber, ...
ISPRS Journal of Photogrammetry and Remote Sensing 103, 48-56, 2015
612015
Mapping forest biomass from space – Fusion of hyperspectral EO1-hyperion data and Tandem-X and WorldView-2 canopy height models
T Kattenborn, J Maack, F Faßnacht, F Enßle, J Ermert, B Koch
International Journal of Applied Earth Observation and Geoinformation 35 …, 2014
512014
UAV data as alternative to field sampling to map woody invasive species based on combined Sentinel-1 and Sentinel-2 data
T Kattenborn, J Lopatin, M Förster, AC Braun, FE Fassnacht
Remote sensing of environment 227, 61-73, 2019
422019
Mapping plant species in mixed grassland communities using close range imaging spectroscopy
J Lopatin, FE Fassnacht, T Kattenborn, S Schmidtlein
Remote Sensing of Environment 201, 12-23, 2017
402017
Segmentation of forest to tree objects
B Koch, T Kattenborn, C Straub, J Vauhkonen
Forestry applications of airborne laser scanning, 89-112, 2014
402014
Linking plant strategies and plant traits derived by radiative transfer modelling
T Kattenborn, FE Fassnacht, S Pierce, J Lopatin, JP Grime, S Schmidtlein
Journal of Vegetation Science 28 (4), 717-727, 2017
372017
Differentiating plant functional types using reflectance: which traits make the difference?
T Kattenborn, FF Ewald, S Schmidtlein
Remote Sensing in Ecology and Conservation, 2018
342018
Modeling forest biomass using Very-High-Resolution data—Combining textural, spectral and photogrammetric predictors derived from spaceborne stereo images
J Maack, T Kattenborn, FE Fassnacht, F Enßle, J Hernández, P Corvalán, ...
European Journal of Remote Sensing 48 (1), 245-261, 2015
342015
Chlorophyll content estimation in an open-canopy conifer forest with Sentinel-2A and hyperspectral imagery in the context of forest decline
PJ Zarco-Tejada, A Hornero, PSA Beck, T Kattenborn, P Kempeneers, ...
Remote sensing of environment 223, 320-335, 2019
322019
Convolutional Neural Networks enable efficient, accurate and fine-grained segmentation of plant species and communities from high-resolution UAV imagery
T Kattenborn, J Eichel, FE Fassnacht
Scientific reports 9 (1), 1-9, 2019
312019
Potential of Unmanned Aerial Vehicle Based Photogrammetric Point Clouds for Automatic Single Tree Detection
M Sperlich, T Kattenborn, B Koch, G Kattenborn
DGPF Proceedings; Gemeinsame Tagung 2014 der DGfK, der DGPF, der GfGI und …, 2014
282014
Estimating stand density, biomass and tree species from very high resolution stereo-imagery–towards an all-in-one sensor for forestry applications?
FE Fassnacht, D Mangold, J Schäfer, M Immitzer, T Kattenborn, B Koch, ...
Forestry: An International Journal of Forest Research 90 (5), 613-631, 2017
262017
How canopy shadow affects invasive plant species classification in high spatial resolution remote sensing
J Lopatin, K Dolos, T Kattenborn, FE Fassnacht
Remote Sensing in Ecology and Conservation 5 (4), 302-317, 2019
192019
Convolutional Neural Networks accurately predict cover fractions of plant species and communities in Unmanned Aerial Vehicle imagery
T Kattenborn, J Eichel, S Wiser, L Burrows, Fassnacht, F Ewald, ...
Remote Sensing in Ecology and Conservation, 15, 2020
182020
Detection of Xylella fastidiosa infection symptoms with airborne multispectral and thermal imagery: Assessing bandset reduction performance from hyperspectral analysis
T Poblete, C Camino, PSA Beck, A Hornero, T Kattenborn, M Saponari, ...
ISPRS Journal of Photogrammetry and Remote Sensing 162, 27-40, 2020
102020
Advantages of retrieving pigment content [μg/cm2] versus concentration [%] from canopy reflectance
T Kattenborn, F Schiefer, P Zarco-Tejada, S Schmidtlein
Remote Sensing of Environment 230, 111195, 2019
102019
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