Hasil Pencarian - Teja Kattenborn

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  1. 1
    The retrieval of plant functional traits from canopy spectra through RTM-inversions and statistical models are both critically affected by plant phenology

    The retrieval of plant functional traits from canopy spectra through RTM-inversions and statistical models are both critically affected by plant phenology oleh Felix Schiefer, Sebastian Schmidtlein, Teja Kattenborn

    Diterbitkan 2021-02-01
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  2. 2
    Transfer learning from citizen science photographs enables plant species identification in UAV imagery

    Transfer learning from citizen science photographs enables plant species identification in UAV imagery oleh Salim Soltani, Hannes Feilhauer, Robbert Duker, Teja Kattenborn

    Diterbitkan 2022-08-01
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  3. 3
    How canopy shadow affects invasive plant species classification in high spatial resolution remote sensing

    How canopy shadow affects invasive plant species classification in high spatial resolution remote sensing oleh Javier Lopatin, Klara Dolos, Teja Kattenborn, Fabian E. Fassnacht

    Diterbitkan 2019-12-01
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  4. 4
    Automated mapping of Portulacaria afra canopies for restoration monitoring with convolutional neural networks and heterogeneous unmanned aerial vehicle imagery

    Automated mapping of Portulacaria afra canopies for restoration monitoring with convolutional neural networks and heterogeneous unmanned aerial vehicle imagery oleh Nicholas C. Galuszynski, Robbert Duker, Alastair J. Potts, Teja Kattenborn

    Diterbitkan 2022-10-01
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  5. 5
    Explaining Sentinel 2-based dNBR and RdNBR variability with reference data from the bird’s eye (UAS) perspective

    Explaining Sentinel 2-based dNBR and RdNBR variability with reference data from the bird’s eye (UAS) perspective oleh Fabian Ewald Fassnacht, Ephraim Schmidt-Riese, Teja Kattenborn, Jaime Hernández

    Diterbitkan 2021-03-01
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  6. 6
    Deep learning and citizen science enable automated plant trait predictions from photographs

    Deep learning and citizen science enable automated plant trait predictions from photographs oleh Christopher Schiller, Sebastian Schmidtlein, Coline Boonman, Alvaro Moreno-Martínez, Teja Kattenborn

    Diterbitkan 2021-08-01
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  7. 7
    Assessment of camera focal length influence on canopy reconstruction quality

    Assessment of camera focal length influence on canopy reconstruction quality oleh Martin Denter, Julian Frey, Teja Kattenborn, Holger Weinacker, Thomas Seifert, Barbara Koch

    Diterbitkan 2022-12-01
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  8. 8
    Spatially autocorrelated training and validation samples inflate performance assessment of convolutional neural networks

    Spatially autocorrelated training and validation samples inflate performance assessment of convolutional neural networks oleh Teja Kattenborn, Felix Schiefer, Julian Frey, Hannes Feilhauer, Miguel D. Mahecha, Carsten F. Dormann

    Diterbitkan 2022-08-01
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  9. 9
    Evaluating different methods for retrieving intraspecific leaf trait variation from hyperspectral leaf reflectance

    Evaluating different methods for retrieving intraspecific leaf trait variation from hyperspectral leaf reflectance oleh Kenny Helsen, Leonardo Bassi, Hannes Feilhauer, Teja Kattenborn, Hajime Matsushima, Elisa Van Cleemput, Ben Somers, Olivier Honnay

    Diterbitkan 2021-11-01
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  10. 10
    UAV-based reference data for the prediction of fractional cover of standing deadwood from Sentinel time series

    UAV-based reference data for the prediction of fractional cover of standing deadwood from Sentinel time series oleh Felix Schiefer, Sebastian Schmidtlein, Annett Frick, Julian Frey, Randolf Klinke, Katarzyna Zielewska-Büttner, Samuli Junttila, Andreas Uhl, Teja Kattenborn

    Diterbitkan 2023-04-01
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  11. 11
    Macrophenological dynamics from citizen science plant occurrence data

    Macrophenological dynamics from citizen science plant occurrence data oleh Karin Mora, Michael Rzanny, Jana Wäldchen, Hannes Feilhauer, Teja Kattenborn, Guido Kraemer, Patrick Mäder, Daria Svidzinska, Sophie Wolf, Miguel D. Mahecha

    Diterbitkan 2024-08-01
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  12. 12
    Temporal dynamics in vertical leaf angles can confound vegetation indices widely used in Earth observations

    Temporal dynamics in vertical leaf angles can confound vegetation indices widely used in Earth observations oleh Teja Kattenborn, Sebastian Wieneke, David Montero, Miguel D. Mahecha, Ronny Richter, Claudia Guimarães-Steinicke, Christian Wirth, Olga Ferlian, Hannes Feilhauer, Lena Sachsenmaier, Nico Eisenhauer, Benjamin Dechant

    Diterbitkan 2024-10-01
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