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Paul Magdon
ORCID
Publication Activity (10 Years)
Years Active: 2015-2022
Publications (10 Years): 7
Top Topics
Spectral Data
Tree Crown
Remotely Sensed Imagery
Digital Image Analysis
Top Venues
Remote. Sens.
Neural Comput. Appl.
Environ. Model. Softw.
Int. J. Appl. Earth Obs. Geoinformation
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Publications
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Maximilian Freudenberg
,
Paul Magdon
,
Nils Nölke
Individual tree crown delineation in high-resolution remote sensing images based on U-Net.
Neural Comput. Appl.
34 (24) (2022)
César Pérez-Cruzado
,
Christoph Kleinn
,
Paul Magdon
,
Juan Gabriel Álvarez-González
,
Steen Magnussen
,
Lutz Fehrmann
,
Nils Nölke
The Horizontal Distribution of Branch Biomass in European Beech: A Model Based on Measurements and TLS Based Proxies.
Remote. Sens.
13 (5) (2021)
Dominik Seidel
,
Peter Annighöfer
,
Martin Ehbrecht
,
Paul Magdon
,
Stephan Wöllauer
,
Christian Ammer
Deriving Stand Structural Complexity from Airborne Laser Scanning Data - What Does It Tell Us about a Forest?
Remote. Sens.
12 (11) (2020)
Michael Schlund
,
Paul Magdon
,
Brian Eaton
,
Craig A. Aumann
,
Stefan Erasmi
Canopy height estimation with TanDEM-X in temperate and boreal forests.
Int. J. Appl. Earth Obs. Geoinformation
82 (2019)
Paul Magdon
,
Eduardo González-Ferreiro
,
César Pérez-Cruzado
,
Edwine Setia Purnama
,
Damayanti Sarodja
,
Christoph Kleinn
Evaluating the Potential of ALS Data to Increase the Efficiency of Aboveground Biomass Estimates in Tropical Peat-Swamp Forests.
Remote. Sens.
10 (9) (2018)
Angela Lausch
,
Stefan Erasmi
,
Douglas J. King
,
Paul Magdon
,
Marco Heurich
Understanding Forest Health with Remote Sensing-Part II - A Review of Approaches and Data Models.
Remote. Sens.
9 (2) (2017)
Angela Lausch
,
Stefan Erasmi
,
Douglas J. King
,
Paul Magdon
,
Marco Heurich
Understanding Forest Health with Remote Sensing -Part I - A Review of Spectral Traits, Processes and Remote-Sensing Characteristics.
Remote. Sens.
8 (12) (2016)
César Pérez-Cruzado
,
Lutz Fehrmann
,
Paul Magdon
,
Isabel Cañellas
,
Hortensia Sixto
,
Christoph Kleinn
On the site-level suitability of biomass models.
Environ. Model. Softw.
73 (2015)