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Marcel Schwieder
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2020 – today
- 2024
- [j11]Vu-Dong Pham
, Gideon Okpoti Tetteh
Temporally transferable crop mapping with temporal encoding and deep learning augmentations. Int. J. Appl. Earth Obs. Geoinformation 129: 103867 (2024) - [c3]Theresa Follath, David Mickisch, Jan Hemmerling, Stefan Erasmi, Marcel Schwieder, Begüm Demir:
Multi-Modal Vision Transformers for Crop Mapping from Satellite Image Time Series. IGARSS 2024: 1937-1941 - [i1]Theresa Follath, David Mickisch, Jan Hemmerling, Stefan Erasmi, Marcel Schwieder, Begüm Demir:
Multi-Modal Vision Transformers for Crop Mapping from Satellite Image Time Series. CoRR abs/2406.16513 (2024) - 2021
- [j10]Gideon Okpoti Tetteh
Evaluation of Sentinel-1 and Sentinel-2 Feature Sets for Delineating Agricultural Fields in Heterogeneous Landscapes. IEEE Access 9: 116702-116719 (2021) - 2020
- [j9]Gideon Okpoti Tetteh
Unsupervised Parameterization for Optimal Segmentation of Agricultural Parcels from Satellite Images in Different Agricultural Landscapes. Remote. Sens. 12(18): 3096 (2020) - [c2]Hugo N. Bendini, Leila M. G. Fonseca, Anderson Reis Soares, Philippe Rufin
Applying A Phenological Object-Based Image Analysis (Phenobia) for Agricultural Land Classification: A Study Case in the Brazilian Cerrado. IGARSS 2020: 1078-1081
2010 – 2019
- 2019
- [j8]Hugo do Nascimento Bendini
Detailed agricultural land classification in the Brazilian cerrado based on phenological information from dense satellite image time series. Int. J. Appl. Earth Obs. Geoinformation 82 (2019) - [c1]Hugo do Nascimento Bendini, Leila Maria Garcia Fonseca
Comparing Phenometrics Extracted From Dense Landsat-Like Image Time Series for Crop Classification. IGARSS 2019: 469-472 - 2017
- [j7]Pedro J. Leitão
sgdm: An R Package for Performing Sparse Generalized Dissimilarity Modelling with Tools for gdm. ISPRS Int. J. Geo Inf. 6(1): 23 (2017) - 2016
- [j6]Marcel Schwieder
Mapping Brazilian savanna vegetation gradients with Landsat time series. Int. J. Appl. Earth Obs. Geoinformation 52: 361-370 (2016) - 2015
- [j5]Stefan Suess, Sebastian van der Linden
Using Class Probabilities to Map Gradual Transitions in Shrub Vegetation from Simulated EnMAP Data. Remote. Sens. 7(8): 10668-10688 (2015) - [j4]Sebastian van der Linden
The EnMAP-Box - A Toolbox and Application Programming Interface for EnMAP Data Processing. Remote. Sens. 7(9): 11249-11266 (2015) - [j3]Pedro J. Leitão
Monitoring Natural Ecosystem and Ecological Gradients: Perspectives with EnMAP. Remote. Sens. 7(10): 13098-13119 (2015) - 2014
- [j2]Marcel Schwieder
Estimating Fractional Shrub Cover Using Simulated EnMAP Data: A Comparison of Three Machine Learning Regression Techniques. Remote. Sens. 6(4): 3427-3445 (2014) - 2013
- [j1]Marcel Buchhorn
Ground-Based Hyperspectral Characterization of Alaska Tundra Vegetation along Environmental Gradients. Remote. Sens. 5(8): 3971-4005 (2013)
Coauthor Index
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