Marcel Schwieder

According to our database, Marcel Schwieder authored at least 14 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

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

Multi-Modal Vision Transformers for Crop Mapping from Satellite Image Time Series.

Theresa Follath, David Mickisch, Jan Hemmerling, Stefan Erasmi, Marcel Schwieder, Begüm Demir

Proceedings of the IGARSS 2024, 2024

2021

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

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

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, Raian Vargas Maretto, Thales Sehn Körting, Pedro J. Leitão, Ieda Del'Arco Sanches, Patrick Hostert

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

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

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

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2017

<i>sgdm</i>: An R Package for Performing Sparse Generalized Dissimilarity Modelling with Tools for <i>gdm</i>.

Pedro J. Leitão, Marcel Schwieder, Cornelius Senf

ISPRS Int. J. Geo Inf., 2017

2016

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

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

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

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

2014

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

2013

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