Random Feature Selection for Decision Tree Classification of Multi-temporal SAR Data. - Björn Waske; Sebastian Schiefer; Matthias H. Braun (IGARSS, 2006)

Land-Cover Classification of Hypertemporal Data using Ensemble Systems. - Thomas Udelhoven; Björn Waske; Sebastian van der Linden; Sonia Heitz (IGARSS (3), 2008)

Classifying Multilevel Imagery From SAR and Optical Sensors by Decision Fusion. - Björn Waske; Sebastian van der Linden (IEEE Trans. Geosci. Remote. Sens., 2008)

Simplifying Support Vector Machines for Regression analysis of hyperspectral imagery. - Andreas Rabe; Sebastian van der Linden; Patrick Hostert (WHISPERS, 2009)

Impact of different morphological profiles on the classification accuracy of urban hyperspectral data. - Björn Waske; Sebastian van der Linden; Jón Atli Benediktsson; Andreas Rabe; Patrick Hostert (WHISPERS, 2009)

Hypertemporal Classification of Large Areas Using Decision Fusion. - Thomas Udelhoven; Sebastian van der Linden; Björn Waske; Marion Stellmes; Lucien Hoffmann (IEEE Geosci. Remote. Sens. Lett., 2009)

Simplifying Support Vector Machines for classification of hyperspectral imagery and selection of relevant features. - Andreas Rabe; Sebastian van der Linden; Patrick Hostert (WHISPERS, 2010)

Sensitivity of Support Vector Machines to Random Feature Selection in Classification of Hyperspectral Data. - Björn Waske; Sebastian van der Linden; Jón Atli Benediktsson; Andreas Rabe; Patrick Hostert (IEEE Trans. Geosci. Remote. Sens., 2010)

Using MODIS time series and random forests classification for mapping land use in South-East Asia. - Cornelius Senf; Patrick Hostert; Sebastian van der Linden (IGARSS, 2012)

imageRF - A user-oriented implementation for remote sensing image analysis with Random Forests. - Björn Waske; Sebastian van der Linden; Carsten Oldenburg; Benjamin Jakimow; Andreas Rabe; Patrick Hostert (Environ. Model. Softw., 2012)

Mapping Rubber Plantations and Natural Forests in Xishuangbanna (Southwest China) Using Multi-Spectral Phenological Metrics from MODIS Time Series. - Cornelius Senf; Dirk Pflugmacher; Sebastian van der Linden; Patrick Hostert (Remote. Sens., 2013)

A Pixel-Based Landsat Compositing Algorithm for Large Area Land Cover Mapping. - Patrick Griffiths; Sebastian van der Linden; Tobias Kuemmerle; Patrick Hostert (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2013)

On the use of collaborative sparse regression in hyperspectral unmixing chains. - Marian-Daniel Iordache; Akpona Okujeni; Sebastian van der Linden; José M. Bioucas-Dias; Antonio Plaza; Ben Somers (WHISPERS, 2014)

Import Vector Machines for Quantitative Analysis of Hyperspectral Data. - Stefan Suess; Sebastian van der Linden; Pedro J. Leitão; Akpona Okujeni; Björn Waske; Patrick Hostert (IEEE Geosci. Remote. Sens. Lett., 2014)

A Comparison of Advanced Regression Algorithms for Quantifying Urban Land Cover. - Akpona Okujeni; Sebastian van der Linden; Benjamin Jakimow; Andreas Rabe; Jochem Verrelst; Patrick Hostert (Remote. Sens., 2014)

Analyzing Hyperspectral and Hypertemporal Data by Decoupling Feature Redundancy and Feature Relevance. - Matthias Held; Andreas Rabe; Cornelius Senf; Sebastian van der Linden; Patrick Hostert (IEEE Geosci. Remote. Sens. Lett., 2015)

The EnMAP Spaceborne Imaging Spectroscopy Mission for Earth Observation. - Luis Guanter; Hermann Kaufmann 001; Karl Segl; Saskia Foerster; Christian Rogaß; Sabine Chabrillat; Theres Küster; André Hollstein; Godela Rossner; Christian Chlebek; Christoph Straif; Sebastian Fischer 003; et al. (Remote. Sens., 2015)

Monitoring Natural Ecosystem and Ecological Gradients: Perspectives with EnMAP. - Pedro J. Leitão; Marcel Schwieder; Stefan Suess; Akpona Okujeni; Lênio Soares Galvão; Sebastian van der Linden; Patrick Hostert (Remote. Sens., 2015)

The EnMAP-Box - A Toolbox and Application Programming Interface for EnMAP Data Processing. - Sebastian van der Linden; Andreas Rabe; Matthias Held; Benjamin Jakimow; Pedro J. Leitão; Akpona Okujeni; Marcel Schwieder; Stefan Suess; Patrick Hostert (Remote. Sens., 2015)

Using Class Probabilities to Map Gradual Transitions in Shrub Vegetation from Simulated EnMAP Data. - Stefan Suess; Sebastian van der Linden; Akpona Okujeni; Pedro J. Leitão; Marcel Schwieder; Patrick Hostert (Remote. Sens., 2015)

Global Urban Monitoring and Assessment Through Earth Observation, Qihao Weng. Taylor & Francis Series in Remote Sensing Applications, CRC Press, Boca Raton (2014). 440 pp., ISBN: 978-1-4665-6449-7. - Sebastian van der Linden (Int. J. Appl. Earth Obs. Geoinformation, 2016)

Optimizing mixed spectra generation for regression-based unmixing of land cover in urban areas. - Frederik Priem; Frank Canters; Akpona Okujeni; Sebastian van der Linden (JURSE, 2017)

Thermal evaluation of the local climate zone scheme in Belgium. - Marie-Leen Verdonck; Frieke Van Coillie; Robert R. de Wulf; Akpona Okujeni; Sebastian van der Linden; Matthias Demuzere; Hans Hooyberghs (JURSE, 2017)

Influence of neighbourhood information on 'Local Climate Zone' mapping in heterogeneous cities. - Marie-Leen Verdonck; Akpona Okujeni; Sebastian van der Linden; Matthias Demuzere; Robert R. De Wulf; Frieke Van Coillie (Int. J. Appl. Earth Obs. Geoinformation, 2017)

A Novel Spectral Library Pruning Technique for Spectral Unmixing of Urban Land Cover. - Jeroen Degerickx; Akpona Okujeni; Marian-Daniel Iordache; Martin Hermy; Sebastian van der Linden; Ben Somers (Remote. Sens., 2017)

Ensemble Learning From Synthetically Mixed Training Data for Quantifying Urban Land Cover With Support Vector Regression. - Akpona Okujeni; Sebastian van der Linden; Stefan Suess; Patrick Hostert (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017)

EnMAP-Box 3 a free and open source Python plug-in for QGIS. - Andreas Rabe; Benjamin Jakimow; Fabian Thiel; Patrick Hostert; Sebastian van der Linden (IGARSS, 2018)

Comparing map-based and library-based training approaches for urban land-cover fraction mapping from Sentinel-2 imagery. - Frederik Priem; Akpona Okujeni; Sebastian van der Linden; Frank Canters (Int. J. Appl. Earth Obs. Geoinformation, 2019)

Visualizing and labeling dense multi-sensor earth observation time series: The EO Time Series Viewer. - Benjamin Jakimow; Sebastian van der Linden; Fabian Thiel; David Frantz; Patrick Hostert (Environ. Model. Softw., 2020)

Combining simulated hyperspectral EnMAP and Landsat time series for forest aboveground biomass mapping. - Sam Cooper; Akpona Okujeni; Dirk Pflugmacher; Sebastian van der Linden; Patrick Hostert (Int. J. Appl. Earth Obs. Geoinformation, 2021)

Revisiting the Past: Replicability of a Historic Long-Term Vegetation Dynamics Assessment in the Era of Big Data Analytics. - David Frantz; Patrick Hostert; Philippe Rufin; Stefan Ernst; Achim Röder; Sebastian van der Linden (Remote. Sens., 2022)

EnMAP-Box: Imaging spectroscopy in QGIS. - Benjamin Jakimow; Andreas Janz; Fabian Thiel; Akpona Okujeni; Patrick Hostert; Sebastian van der Linden (SoftwareX, 2023)

Temporally transferable crop mapping with temporal encoding and deep learning augmentations. - Vu-Dong Pham; Gideon Okpoti Tetteh; Fabian Thiel; Stefan Erasmi; Marcel Schwieder; David Frantz; Sebastian van der Linden (Int. J. Appl. Earth Obs. Geoinformation, 2024)