Ground-Based Hyperspectral Characterization of Alaska Tundra Vegetation along Environmental Gradients. - Marcel Buchhorn; Donald A. Walker; Birgit Heim; Martha K. Raynolds; Howard E. Epstein; Marcel Schwieder (Remote. Sens., 2013)

Estimating Fractional Shrub Cover Using Simulated EnMAP Data: A Comparison of Three Machine Learning Regression Techniques. - Marcel Schwieder; Pedro J. Leitão; Stefan Suess; Cornelius Senf; Patrick Hostert (Remote. Sens., 2014)

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)

Mapping Brazilian savanna vegetation gradients with Landsat time series. - Marcel Schwieder; Pedro J. Leitão; Mercedes Maria da Cunha Bustamante; Laerte Guimarães Ferreira; Andreas Rabe; Patrick Hostert (Int. J. Appl. Earth Obs. Geoinformation, 2016)

sgdm: An R Package for Performing Sparse Generalized Dissimilarity Modelling with Tools for gdm. - Pedro J. Leitão; Marcel Schwieder; Cornelius Senf (ISPRS Int. J. Geo Inf., 2017)

Comparing Phenometrics Extracted From Dense Landsat-Like Image Time Series for Crop Classification. - Hugo do Nascimento Bendini; Leila Maria Garcia Fonseca; Marcel Schwieder; Thales Sehn Körting; Philippe Rufin; Ieda Del'Arco Sanches; Pedro J. Leitão; Patrick Hostert (IGARSS, 2019)

Detailed agricultural land classification in the Brazilian cerrado based on phenological information from dense satellite image time series. - Hugo do Nascimento Bendini; Leila Maria Garcia Fonseca; Marcel Schwieder; Thales Sehn Körting; Philippe Rufin; Ieda Del'Arco Sanches; Pedro J. Leitão; Patrick Hostert (Int. J. Appl. Earth Obs. Geoinformation, 2019)

Applying A Phenological Object-Based Image Analysis (Phenobia) for Agricultural Land Classification: A Study Case in the Brazilian Cerrado. - Hugo N. Bendini; Leila M. G. Fonseca; Anderson Reis Soares; Philippe Rufin; Marcel Schwieder; Marcos A. Rodrigues 002; Raian Vargas Maretto; Thales Sehn Körting; Pedro J. Leitão; Ieda Del'Arco Sanches; Patrick Hostert (IGARSS, 2020)

Unsupervised Parameterization for Optimal Segmentation of Agricultural Parcels from Satellite Images in Different Agricultural Landscapes. - Gideon Okpoti Tetteh; Alexander Gocht; Marcel Schwieder; Stefan Erasmi; Christopher Conrad (Remote. Sens., 2020)

Evaluation of Sentinel-1 and Sentinel-2 Feature Sets for Delineating Agricultural Fields in Heterogeneous Landscapes. - Gideon Okpoti Tetteh; Alexander Gocht; Stefan Erasmi; Marcel Schwieder; Christopher Conrad (IEEE Access, 2021)

Multi-Modal Vision Transformers for Crop Mapping from Satellite Image Time Series. - Theresa Follath; David Mickisch; Jan Hemmerling; Stefan Erasmi; Marcel Schwieder; Begüm Demir (IGARSS, 2024)

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)