| 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 | 764 | 2020 |
| Review on Convolutional Neural Networks (CNN) in vegetation remote sensing T Kattenborn, J Leitloff, F Schiefer, S Hinz ISPRS Journal of Photogrammetry and Remote Sensing 173, 24-49, 2021 | 332 | 2021 |
| 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 | 205* | 2018 |
| 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 | 197 | 2013 |
| 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), 17656, 2019 | 138 | 2019 |
| 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 | 137 | 2019 |
| Mapping forest tree species in high resolution UAV-based RGB-imagery by means of convolutional neural networks F Schiefer, T Kattenborn, A Frick, J Frey, P Schall, B Koch, S Schmidtlein ISPRS Journal of Photogrammetry and Remote Sensing 170, 205-215, 2020 | 118 | 2020 |
| 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 | 105 | 2015 |
| 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 | 96* | 2014 |
| 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 | 95 | 2019 |
| Differentiating plant functional types using reflectance: which traits make the difference? T Kattenborn, FF Ewald, S Schmidtlein Remote Sensing in Ecology and Conservation, 2018 | 80 | 2018 |
| 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 | 78 | 2017 |
| 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 | 71 | 2014 |
| 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 | 70 | 2020 |
| 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 | 57 | 2017 |
| Segmentation of forest to tree objects B Koch, T Kattenborn, C Straub, J Vauhkonen Forestry applications of airborne laser scanning: Concepts and case studies …, 2014 | 57 | 2014 |
| 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 | 50 | 2019 |
| 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 | 46 | 2020 |
| 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 | 44 | 2015 |
| 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 | 42 | 2017 |
Fabian Ewald FassnachtProfessor, Freie Universität BerlinBestätigte E-Mail-Adresse bei fu-berlin.de
