Marlon Nuske

Orcid: 0000-0002-0651-0664

According to our database1, Marlon Nuske authored at least 21 papers between 2023 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2023
2024
2025
0
5
10
1
5
2
6
7

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Explainability of Subfield Level Crop Yield Prediction Using Remote Sensing.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

2024
Common Practices and Taxonomy in Deep Multiview Fusion for Remote Sensing Applications.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Data-Centric Machine Learning for Earth Observation: Necessary and Sufficient Features.
CoRR, 2024

Explainability of Sub-Field Level Crop Yield Prediction using Remote Sensing.
CoRR, 2024

Adaptive Fusion of Multi-view Remote Sensing data for Optimal Sub-field Crop Yield Prediction.
CoRR, 2024

Q-Seg: Quantum Annealing-Based Unsupervised Image Segmentation.
IEEE Computer Graphics and Applications, 2024

Qubit-Efficient Variational Quantum Algorithms for Image Segmentation.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024

Quantum Annealing-Based Algorithm for Efficient Coalition Formation Among LEO Satellites.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024

Assessment of Sentinel-2 Spatial and Temporal Coverage Based on the Scene Classification Layer.
Proceedings of the IGARSS 2024, 2024

Xai-Guided Enhancement of Vegetation Indices for Crop Mapping.
Proceedings of the IGARSS 2024, 2024

Multi-Modal Fusion Methods with Local Neighborhood Information for Crop Yield Prediction at Field and Subfield Levels.
Proceedings of the IGARSS 2024, 2024

Impact Assessment of Missing Data in Model Predictions for Earth Observation Applications.
Proceedings of the IGARSS 2024, 2024

2023
On the Importance of Feature Representation for Flood Mapping using Classical Machine Learning Approaches.
CoRR, 2023

Common Practices and Taxonomy in Deep Multi-view Fusion for Remote Sensing Applications.
CoRR, 2023

Fusing Digital Elevation Maps with Satellite Imagery for Flood Mapping.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Influence of Data Cleaning Techniques on Sub-Field Yield Predictions.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Predicting Crop Yield with Machine Learning: An Extensive Analysis of Input Modalities and Models on a Field and Sub-Field Level.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Feature Attribution Methods for Multivariate Time-Series Explainability in Remote Sensing.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Effect Of Terrain Information On Multimodal Deep Learning For Flood Disaster Detection.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

A Comparative Assessment of Multi-View Fusion Learning For Crop Classification.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Crop Yield Prediction: An Operational Approach to Crop Yield Modeling on Field and Subfield Level with Machine Learning Models.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023


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