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Stefan Süß
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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
2432015
Estimating fractional shrub cover using simulated EnMAP data: A comparison of three machine learning regression techniques
M Schwieder, PJ Leitão, S Suess, C Senf, P Hostert
Remote Sensing 6 (4), 3427-3445, 2014
662014
Ensemble learning from synthetically mixed training data for quantifying urban land cover with support vector regression
A Okujeni, S van der Linden, S Suess, P Hostert
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2016
562016
Characterizing 32 years of shrub cover dynamics in southern Portugal using annual Landsat composites and machine learning regression modeling
S Suess, S van der Linden, A Okujeni, P Griffiths, PJ Leitão, M Schwieder, ...
Remote Sensing of Environment 219, 353-364, 2018
502018
The value of satellite-based active fire data for monitoring, reporting and verification of REDD+ in the Lao PDR
D Müller, S Suess, AA Hoffmann, G Buchholz
Human ecology 41, 7-20, 2013
492013
Monitoring natural ecosystem and ecological gradients: perspectives with EnMAP
PJ Leitão, M Schwieder, S Suess, A Okujeni, LS Galvão, S Linden, ...
Remote Sensing 7 (10), 13098-13119, 2015
312015
Mapping beta diversity from space: Sparse Generalised Dissimilarity Modelling (SGDM) for analysing high‐dimensional data
PJ Leitao, M Schwieder, S Suess, I Catry, EJ Milton, F Moreira, ...
Methods in Ecology and Evolution 6 (7), 764-771, 2015
282015
Using class probabilities to map gradual transitions in shrub vegetation from simulated EnMAP data
S Suess, S Van der Linden, A Okujeni, PJ Leitão, M Schwieder, P Hostert
Remote Sensing 7 (8), 10668-10688, 2015
252015
Import vector machines for quantitative analysis of hyperspectral data
S Suess, S van der Linden, PJ Leitão, A Okujeni, B Waske, P Hostert
IEEE Geoscience and Remote Sensing Letters 11 (2), 449-453, 2013
202013
imageSVM regression, application manual: imageSVM Version 2.1
S van der Linden, A Rabe, F Wirth, S Suess, A Okujeni, P Hostert
Humboldt-Universität zu Berlin, Germany, 2010
18*2010
Can the MODIS active fire hotspots be used to monitor vegetation fires in the Lao PDR
D Müller, S Suess
Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) Climate …, 2011
82011
Data from: Mapping beta diversity from space: Sparse Generalized Dissimilarity Modelling (SGDM) for analysing high-dimensional data
PJ Leitão, S Suess, M Schwieder, I Catry, E Milton, F Moreira, PE Osborne, ...
DRYAD, 2016
12016
Mapping Spatial and Temporal Transitions in Shrublands with Cover Fractions from Space
S Süß
Humboldt-Universität zu Berlin, 2019
2019
Hyperspectral satellite data for modelling spatial beta diversity patterns of birds along an environmental gradient
PJ Leitao, S Suess, M Schwieder, EJ Milton, S van der Linden, P Hostert
2013
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