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Prof. Dr. Paul Magdon
Prof. Dr. Paul Magdon
University of Applied Sciences and Arts (HAWK), Göttingen
Verified email at hawk.de
Title
Cited by
Cited by
Year
Estimating aboveground carbon in a catchment of the Siberian forest tundra: Combining satellite imagery and field inventory
H Fuchs, P Magdon, C Kleinn, H Flessa
Remote Sensing of Environment 113 (3), 518-531, 2009
2322009
Understanding forest health with remote sensing-part I—a review of spectral traits, processes and remote-sensing characteristics
A Lausch, S Erasmi, DJ King, P Magdon, M Heurich
Remote Sensing 8 (12), 1029, 2016
2012016
Understanding forest health with remote sensing-part II—A review of approaches and data models
A Lausch, S Erasmi, DJ King, P Magdon, M Heurich
Remote Sensing 9 (2), 129, 2017
1592017
Heterogeneity–diversity relationships differ between and within trophic levels in temperate forests
L Heidrich, S Bae, S Levick, S Seibold, W Weisser, P Krzystek, P Magdon, ...
Nature Ecology & Evolution 4 (9), 1204-1212, 2020
1102020
Radar vision in the mapping of forest biodiversity from space
S Bae, SR Levick, L Heidrich, P Magdon, BF Leutner, S Wöllauer, ...
Nature Communications 10 (1), 4757, 2019
852019
Landscape controls of CH4 fluxes in a catchment of the forest tundra ecotone in northern Siberia
H Flessa, A Rodionov, G Guggenberger, H Fuchs, P Magdon, ...
Global Change Biology 14 (9), 2040-2056, 2008
572008
Translating criteria of international forest definitions into remote sensing image analysis
P Magdon, C Fischer, H Fuchs, C Kleinn
Remote Sensing of Environment 149, 252-262, 2014
452014
Canopy penetration depth estimation with TanDEM-X and its compensation in temperate forests
M Schlund, D Baron, P Magdon, S Erasmi
ISPRS journal of photogrammetry and remote sensing 147, 232-241, 2019
442019
Deriving stand structural complexity from airborne laser scanning data—what does it tell us about a forest?
D Seidel, P Annighöfer, M Ehbrecht, P Magdon, S Wöllauer, C Ammer
Remote Sensing 12 (11), 1854, 2020
292020
Canopy height estimation with TanDEM-X in temperate and boreal forests
M Schlund, P Magdon, B Eaton, C Aumann, S Erasmi
International Journal of Applied Earth Observation and Geoinformation 82, 101904, 2019
282019
Uncertainties of forest area estimates caused by the minimum crown cover criterion: —a scale issue relevant to forest cover monitoring
P Magdon, C Kleinn
Environmental monitoring and assessment 185, 5345-5360, 2013
282013
On the site-level suitability of biomass models
C Pérez-Cruzado, L Fehrmann, P Magdon, I Cañellas, H Sixto, C Kleinn
Environmental Modelling & Software 73, 14-26, 2015
252015
Predicting plant biomass and species richness in temperate grasslands across regions, time, and land management with remote sensing and deep learning
J Muro, A Linstädter, P Magdon, S Wöllauer, FA Männer, LM Schwarz, ...
Remote Sensing of Environment 282, 113262, 2022
222022
Individual tree crown delineation in high-resolution remote sensing images based on U-Net
M Freudenberg, P Magdon, N Nölke
Neural Computing and Applications 34 (24), 22197-22207, 2022
182022
Analyzing the relationship between historic canopy dynamics and current plant species diversity in the herb layer of temperate forests using long-term Landsat time series
W Graf, C Kleinn, P Schall, T Nauss, F Detsch, P Magdon
Remote Sensing of Environment 232, 111305, 2019
152019
A range of earth observation techniques for assessing plant diversity
A Lausch, M Heurich, P Magdon, D Rocchini, K Schulz, J Bumberger, ...
Remote sensing of plant biodiversity, 309-348, 2020
142020
High‐resolution 3D forest structure explains ecomorphological trait variation in assemblages of saproxylic beetles
L Drag, RC Burner, JG Stephan, T Birkemoe, I Doerfler, MM Gossner, ...
Functional Ecology 37 (1), 150-161, 2023
132023
Scale-guided mapping of forest stand structural heterogeneity from airborne LiDAR
CB Kukunda, P Beckschäfer, P Magdon, P Schall, C Wirth, C Kleinn
Ecological indicators 102, 410-425, 2019
132019
Evaluating the potential of ALS data to increase the efficiency of aboveground biomass estimates in tropical peat–swamp forests
P Magdon, E González-Ferreiro, C Pérez-Cruzado, ES Purnama, ...
Remote Sensing 10 (9), 1344, 2018
132018
Land-use intensity and landscape structure drive the acoustic composition of grasslands
S Müller, MM Gossner, C Penone, K Jung, SC Renner, A Farina, ...
Agriculture, ecosystems & environment 328, 107845, 2022
112022
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