Crop Yield Prediction: An Operational Approach to Crop Yield Modeling on Field and Subfield Level with Machine Learning Models. - Patrick Helber; Benjamin Bischke; Peter Habelitz; Cristhian Sanchez; Deepak Pathak; Miro Miranda; Hiba Najjar; Francisco Alejandro Mena; Jayanth Siddamsetty; Diego Arenas; Michaela Vollmer; Marcela Charfuelan; et al. (IGARSS, 2023)

A Comparative Assessment of Multi-View Fusion Learning For Crop Classification. - Francisco Alejandro Mena; Diego Arenas; Marlon Nuske; Andreas Dengel 001 (IGARSS, 2023)

Effect Of Terrain Information On Multimodal Deep Learning For Flood Disaster Detection. - Takashi Miyamoto; Marco Stricker; Jun Ogishima; Kevin Iselborn; Marlon Nuske; Andreas Dengel 001 (IGARSS, 2023)

Feature Attribution Methods for Multivariate Time-Series Explainability in Remote Sensing. - Hiba Najjar; Patrick Helber; Benjamin Bischke; Peter Habelitz; Cristhian Sanchez; Francisco Alejandro Mena; Miro Miranda; Deepak Pathak; Jayanth Siddamsetty; Diego Arenas; Michaela Vollmer; Marcela Charfuelan; et al. (IGARSS, 2023)

Predicting Crop Yield with Machine Learning: An Extensive Analysis of Input Modalities and Models on a Field and Sub-Field Level. - Deepak Pathak; Miro Miranda; Francisco Alejandro Mena; Cristhian Sanchez; Patrick Helber; Benjamin Bischke; Peter Habelitz; Hiba Najjar; Jayanth Siddamsetty; Diego Arenas; Michaela Vollmer; Marcela Charfuelan; et al. (IGARSS, 2023)

Influence of Data Cleaning Techniques on Sub-Field Yield Predictions. - Cristhian Sanchez; Deepak Pathak; Miro Miranda; Marcela Charfuelan; Patrick Helber; Marlon Nuske; Benjamin Bischke; Peter Habelitz; Nafisur Rahman; Francisco Alejandro Mena; Hiba Najjar; Jayanth Siddamsetty; et al. (IGARSS, 2023)

Fusing Digital Elevation Maps with Satellite Imagery for Flood Mapping. - Marco Stricker; Takashi Miyamoto; Kevin Iselborn; Marlon Nuske; Andreas Dengel 001 (IGARSS, 2023)

Common Practices and Taxonomy in Deep Multi-view Fusion for Remote Sensing Applications. - Francisco Alejandro Mena; Diego Arenas; Marlon Nuske; Andreas Dengel 001 (CoRR, 2023)

On the Importance of Feature Representation for Flood Mapping using Classical Machine Learning Approaches. - Kevin Iselborn; Marco Stricker; Takashi Miyamoto; Marlon Nuske; Andreas Dengel 001 (CoRR, 2023)

Impact Assessment of Missing Data in Model Predictions for Earth Observation Applications. - Francisco Alejandro Mena; Diego Arenas; Marcela Charfuelan; Marlon Nuske; Andreas Dengel 001 (IGARSS, 2024)

Multi-Modal Fusion Methods with Local Neighborhood Information for Crop Yield Prediction at Field and Subfield Levels. - Miro Miranda; Deepak Pathak; Marlon Nuske; Andreas Dengel 001 (IGARSS, 2024)

Xai-Guided Enhancement of Vegetation Indices for Crop Mapping. - Hiba Najjar; Francisco Alejandro Mena; Marlon Nuske; Andreas Dengel 001 (IGARSS, 2024)

Assessment of Sentinel-2 Spatial and Temporal Coverage Based on the Scene Classification Layer. - Cristhian Sanchez; Francisco Alejandro Mena; Marcela Charfuelan; Marlon Nuske; Andreas Dengel 001 (IGARSS, 2024)

Quantum Annealing-Based Algorithm for Efficient Coalition Formation Among LEO Satellites. - Supreeth Mysore Venkatesh; Antonio Macaluso; Marlon Nuske; Matthias Klusch; Andreas Dengel 001 (QCE, 2024)

Qubit-Efficient Variational Quantum Algorithms for Image Segmentation. - Supreeth Mysore Venkatesh; Antonio Macaluso; Marlon Nuske; Matthias Klusch; Andreas Dengel 001 (QCE, 2024)

Q-Seg: Quantum Annealing-Based Unsupervised Image Segmentation. - Supreeth Mysore Venkatesh; Antonio Macaluso; Marlon Nuske; Matthias Klusch; Andreas Dengel 001 (IEEE Computer Graphics and Applications, 2024)

Adaptive Fusion of Multi-view Remote Sensing data for Optimal Sub-field Crop Yield Prediction. - Francisco Alejandro Mena; Deepak Pathak; Hiba Najjar; Cristhian Sanchez; Patrick Helber; Benjamin Bischke; Peter Habelitz; Miro Miranda; Jayanth Siddamsetty; Marlon Nuske; Marcela Charfuelan; Diego Arenas; et al. (CoRR, 2024)

Explainability of Sub-Field Level Crop Yield Prediction using Remote Sensing. - Hiba Najjar; Miro Miranda; Marlon Nuske; Ribana Roscher; Andreas Dengel 001 (CoRR, 2024)

Data-Centric Machine Learning for Earth Observation: Necessary and Sufficient Features. - Hiba Najjar; Marlon Nuske; Andreas Dengel 001 (CoRR, 2024)

Common Practices and Taxonomy in Deep Multiview Fusion for Remote Sensing Applications. - Francisco Alejandro Mena; Diego Arenas; Marlon Nuske; Andreas Dengel 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Deep Learning Emulators for Large-Scale, High-Resolution Urban Pluvial Flood Prediction. - Dinesh Krishna Natarajan; Marco Stricker; Rushan Mukherjee; Marcela Charfuelan; Marlon Nuske; Andreas Dengel 001 (KI, 2025)

Explainability of Subfield Level Crop Yield Prediction Using Remote Sensing. - Hiba Najjar; Miro Miranda; Marlon Nuske; Ribana Roscher; Andreas Dengel 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Intrinsic Explainability of Multimodal Learning for Crop Yield Prediction. - Hiba Najjar; Deepak Pathak; Marlon Nuske; Andreas Dengel 001 (CoRR, 2025)