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Sebastian van der Linden
Sebastian van der Linden
Verified email at uni-greifswald.de
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Cited by
Year
The EnMAP spaceborne imaging spectroscopy mission for earth observation
L Guanter, H Kaufmann, K Segl, S Foerster, C Rogass, S Chabrillat, ...
Remote Sensing 7 (7), 8830-8857, 2015
5152015
Cross-border comparison of post-socialist farmland abandonment in the Carpathians
T Kuemmerle, P Hostert, VC Radeloff, S van der Linden, K Perzanowski, ...
Ecosystems 11 (4), 614-628, 2008
3442008
Sensitivity of support vector machines to random feature selection in classification of hyperspectral data
B Waske, S van der Linden, JA Benediktsson, A Rabe, P Hostert
IEEE Transactions on Geoscience and Remote Sensing 48 (7), 2880-2889, 2010
2982010
A pixel-based Landsat compositing algorithm for large area land cover mapping
P Griffiths, SVD Linden, T Kuemmerle, P , Hostert
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2013
2782013
Mapping megacity growth with multi-sensor data
P Griffiths, P Hostert, O Gruebner, S van der Linden
Remote Sensing of Environment 114 (2), 426-439, 2010
2772010
A pixel-based Landsat compositing algorithm for large area land cover mapping
P Griffiths, S van der Linden, T Kuemmerle, P Hostert
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2013
2742013
Remote sensing of sun‐induced fluorescence to improve modeling of diurnal courses of gross primary production (GPP)
A Damm, JAN Elbers, A Erler, B Gioli, K Hamdi, R Hutjes, M Kosvancova, ...
Global Change Biology 16 (1), 171-186, 2010
2742010
Classifying multilevel imagery from SAR and optical sensors by decision fusion
B Waske, S van der Linden
IEEE Transactions on Geoscience and Remote Sensing 46 (5), 1457-1466, 2008
2212008
Multi-source land cover classification for forest fire management based on imaging spectrometry and LiDAR data
B Koetz, F Morsdorf, S Van der Linden, T Curt, B Allgöwer
Forest Ecology and Management 256 (3), 263-271, 2008
2082008
The EnMAP-Box—A toolbox and application programming interface for EnMAP data processing
S Van der Linden, A Rabe, M Held, B Jakimow, PJ Leitão, A Okujeni, ...
Remote Sensing 7 (9), 11249-11266, 2015
2022015
CEFLES2: the remote sensing component to quantify photosynthetic efficiency from the leaf to the region by measuring sun-induced fluorescence in the oxygen absorption bands
U Rascher, G Agati, L Alonso, G Cecchi, S Champagne, R Colombo, ...
Biogeosciences 6 (7), 1181-1198, 2009
1622009
Mapping land cover in complex Mediterranean landscapes using Landsat: Improved classification accuracies from integrating multi-seasonal and synthetic imagery
C Senf, PJ Leitão, D Pflugmacher, S van der Linden, P Hostert
Remote Sensing of Environment 156, 527-536, 2015
1542015
Support vector regression and synthetically mixed training data for quantifying urban land cover
A Okujeni, S van der Linden, L Tits, B Somers, P Hostert
Remote Sensing of Environment 137, 184-197, 2013
1332013
Mapping rubber plantations and natural forests in Xishuangbanna (Southwest China) using multi-spectral phenological metrics from MODIS time series
C Senf, D Pflugmacher, S Van der Linden, P Hostert
Remote Sensing 5 (6), 2795-2812, 2013
1162013
Classifying segmented hyperspectral data from a heterogeneous urban environment using support vector machines
S Van der Linden, A Janz, B Waske, M Eiden, P Hostert
Journal of Applied Remote Sensing 1 (1), 013543, 2007
1122007
ImageRF–A user-oriented implementation for remote sensing image analysis with Random Forests
B Waske, S van der Linden, C Oldenburg, B Jakimow, A Rabe, P Hostert
Environmental modelling & software 35, 192-193, 2012
1092012
The influence of urban structures on impervious surface maps from airborne hyperspectral data
S Van der Linden, P Hostert
Remote Sensing of Environment 113 (11), 2298-2305, 2009
1012009
Detecting Alpine landforms from remotely sensed imagery. A pilot study in the Bavarian Alps
NJ Schneevoigt, S van der Linden, HP Thamm, L Schrott
Geomorphology 93 (1-2), 104-119, 2008
1002008
Correcting brightness gradients in hyperspectral data from urban areas
S Schiefer, P Hostert, A Damm
Remote sensing of environment 101 (1), 25-37, 2006
792006
Extending the vegetation–impervious–soil model using simulated EnMAP data and machine learning
A Okujeni, S van der Linden, P Hostert
Remote Sensing of Environment 158, 69-80, 2015
752015
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