Παρακολούθηση
Felix Schiefer
Felix Schiefer
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα kit.edu - Αρχική σελίδα
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Παρατίθεται από
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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
13702021
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
3052020
Spatially autocorrelated training and validation samples inflate performance assessment of convolutional neural networks
T Kattenborn, F Schiefer, J Frey, H Feilhauer, MD Mahecha, CF Dormann
ISPRS Open Journal of Photogrammetry and Remote Sensing 5, 100018, 2022
722022
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
612019
The retrieval of plant functional traits from canopy spectra through RTM-inversions and statistical models are both critically affected by plant phenology
F Schiefer, S Schmidtlein, T Kattenborn
Ecological Indicators 121, 107062, 2021
502021
UAV-based reference data for the prediction of fractional cover of standing deadwood from Sentinel time series
F Schiefer, S Schmidtlein, A Frick, J Frey, R Klinke, K Zielewska-Büttner, ...
ISPRS Open Journal of Photogrammetry and Remote Sensing 8, 100034, 2023
372023
Transferability of species distribution models for the detection of an invasive alien bryophyte using imaging spectroscopy data
S Skowronek, R Van De Kerchove, B Rombouts, R Aerts, M Ewald, ...
International Journal of Applied Earth Observation and Geoinformation 68, 61-72, 2018
312018
Forest practitioners’ requirements for remote sensing-based canopy height, wood-volume, tree species, and disturbance products
FE Fassnacht, C Mager, LT Waser, U Kanjir, J Schäfer, AP Buhvald, ...
Forestry: An International Journal of Forest Research, cpae021, 2024
42024
Large-scale remote sensing reveals that tree mortality in Germany appears to be greater than previously expected
F Schiefer, S Schmidtlein, H Hartmann, F Schnabel, T Kattenborn
Forestry: An International Journal of Forest Research, cpae062, 2024
12024
Forest disturbance detection in Central Europe using transformers and Sentinel-2 time series
C Schiller, J Költzow, S Schwarz, F Schiefer, FE Fassnacht
Remote Sensing of Environment 315, 114475, 2024
12024
deadtrees. earth-An Open-Access and Interactive Database for Centimeter-Scale Aerial Imagery to Uncover Global Tree Mortality Dynamics
C Mosig, J Vajna-Jehle, MD Mahecha, Y Cheng, H Hartmann, D Montero, ...
bioRxiv, 2024.10. 18.619094, 2024
2024
deadtrees. earth-an open, dynamic database for accessing, contributing, analyzing, and visualizing remote sensing-based tree mortality data.
T Kattenborn, C Mosig, K Pratima, J Frey, O Perez-Priego, F Schiefer, ...
EGU24, 2024
2024
Deep Learning and Remote Sensing for Detecting Tree Mortality Patterns
F Schiefer
2024
FORTRESS - Forest Tree Species Segmentation in very-high resolution UAV-based orthomosaics
F Schiefer, J Frey, T Kattenborn
https://doi.org/10.35097/538, 2022
2022
Predicting fractional cover of standing deadwood at landscape level based on long short-term memory networks and Sentinel time series
F Schiefer, A Frick, J Frey, B Koch, K Zielewska-Büttner, S Junttila, ...
Living Planet Symposium (2022), Bonn, Deutschland, 23.05. 2022–27.05. 2022, 2022
2022
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