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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
2412015
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
522016
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
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
472018
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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