Marcel Schwieder

发表

Monitoring Natural Ecosystem and Ecological Gradients: Perspectives with EnMAP

Patrick Hostert, Lênio Soares Galvão, Pedro J. Leitão, 2015, Remote. Sens..

Unsupervised Parameterization for Optimal Segmentation of Agricultural Parcels from Satellite Images in Different Agricultural Landscapes

Stefan Erasmi, Marcel Schwieder, Gideon Okpoti Tetteh, 2020, Remote. Sens..

Mapping Ecosystem Transitions With Enmap Data and Machine Learning Algorithms

Patrick Hostert, Pedro J. Leitão, Akpona Okujeni, 2015 .

Using Class Probabilities to Map Gradual Transitions in Shrub Vegetation from Simulated EnMAP Data

Patrick Hostert, Pedro J. Leitão, Akpona Okujeni, 2015, Remote. Sens..

The EnMAP-Box - A Toolbox and Application Programming Interface for EnMAP Data Processing

Patrick Hostert, Pedro J. Leitão, Akpona Okujeni, 2015, Remote. Sens..

Comparing Phenometrics Extracted From Dense Landsat-Like Image Time Series for Crop Classification

Patrick Hostert, Pedro J. Leitão, Leila Maria Garcia Fonseca, 2019, IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium.

Estimating Fractional Shrub Cover Using Simulated EnMAP Data: A Comparison of Three Machine Learning Regression Techniques

Patrick Hostert, Pedro J. Leitão, Marcel Schwieder, 2014, Remote. Sens..

Mapping Brazilian savanna vegetation gradients with Landsat time series

Patrick Hostert, Pedro J. Leitão, Andreas Rabe, 2016, Int. J. Appl. Earth Obs. Geoinformation.

Ground-Based Hyperspectral Characterization of Alaska Tundra Vegetation along Environmental Gradients

Marcel Schwieder, Howard E. Epstein, Birgit Heim, 2013, Remote. Sens..

Detailed agricultural land classification in the Brazilian cerrado based on phenological information from dense satellite image time series

Patrick Hostert, Pedro J. Leitão, Leila Maria Garcia Fonseca, 2019, Int. J. Appl. Earth Obs. Geoinformation.

sgdm: An R Package for Performing Sparse Generalized Dissimilarity Modelling with Tools for gdm

Pedro J. Leitão, Marcel Schwieder, Cornelius Senf, 2017, ISPRS Int. J. Geo Inf..

Evaluation of Sentinel-1 and Sentinel-2 Feature Sets for Delineating Agricultural Fields in Heterogeneous Landscapes

Christopher Conrad, Stefan Erasmi, Marcel Schwieder, 2021, IEEE Access.

Mapping Cerrado physiognomies using Landsat time series based phenological profiles

Patrick Hostert, Pedro J. Leitão, Andreas Rabe, 2015 .