Publikationen

2026

YieldSAT: A Multimodal Benchmark Dataset for High-Resolution Crop Yield Prediction

M. Miranda, D. Pathak, P. Helber, B. Bischke, H. Najjar, F. Mena, C. Sanchez, A. Pai, D. Arenas, M. Valdenegro, M. Charfuelan, M. Nuske, A. Dengel

CVPR 2026 - The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2026 · 2026

ArticleGitHub, Dataset, Notebook, ML-Tutorial

2025

Deep learning emulators for large-scale, high-resolution urban pluvial flood prediction

D. K. Natarajan, R. Mukherjee, M. Charfuelan, M. Nuske and A. Dengel

KI2025, German Conference on Artificial Intelligence · 2025

Article

Estimating Evapotranspiration using Physics-Informed Learning Enables Accurate Yield Prediction at Subfield Resolution

M. Miranda, M. Charfuelan, M. Valdenegro-Toro, and A. Dengel

ECAI 2025-2025 European Conference on Artificial Intelligence · 2025

Article

i-QLS: Quantum-supported Algorithm for Least Squares Optimization in Non-Linear Regression

S. M. Venkatesh, A. Macaluso, D. Arenas, M. Klusch, A. Dengel

Conference: 25th International Conference on Computational Science (ICCS'25) · 2025

ArticleGitHubPre-print

REGDIFF: Regression diffusion for Earth Observation

M. Miranda, A. Dinesh, D. Nicolas Lesmes-Leon, F. Mena, M. Charfuelan, A. Dengel

IGARSS 2025 - 2025 IEEE International Geoscience and Remote Sensing Symposium · 2025

Article

Missing Data as Augmentation in the Earth Observation Domain: A Multi-View Learning Approach

F. Mena, D. Arenas, A. Dengel

Neurocomputing, Volume 638 · 2025

ArticleGitHub

Can multitask learning enhance model intrinsic interpretability?

H. Najjar, B. Alshbib, A. Dengel

DAGM German Conference on Pattern Recognition GCPR 2025 · 2025

Article

A Multi-Modal co-learning model with shared and specific features for land-cover classification

F. Mena, D. Ienco, C. Dantas, R. Interdonato, A. Dengel

IGARSS 2025 - 2025 IEEE International Geoscience and Remote Sensing Symposium · 2025

ArticlePre-print

Multi-sensor Model for Earth Observation Robust to Missing Data via Sensor Dropout and Mutual Distillation

F. Mena, D. Ienco, C. Dantas, R. Interdonato, A. Dengel

IEEE Access Society Sections, 13, IEEE Geoscience and Remote Sensing Society Section · 2025

Article

REGDIFF: Regression diffusion for Earth Observation

M. Miranda, A. Dinesh, D. Nicolas Lesmes-Leon, F. Mena, M. Charfuelan, A. Dengel

IGARSS 2025 - 2025 IEEE International Geoscience and Remote Sensing Symposium · 2025

Article

An Analysis of Temporal Dropout in Earth Observation Time Series for Regression Tasks

M. Miranda, F. Mena, A. Dengel

Advances in Intelligent Data Analysis XXIII (IDA 2025) · 2025

ArticleGitHub

On what depends the robustness of multi-source models to missing data in Earth Observation?

F. Mena, D. Arenas, M. Miranda, A. Dengel

IGARSS 2025 - 2025 IEEE International Geoscience and Remote Sensing Symposium · 2025

ArticlePre-print

Explainability of Sub-Field Level Crop Yield Prediction using Remote Sensing

H. Najjar, M. Miranda, M. Nuske, R. Roscher, A. Dengel

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2025 (JSTARS) · 2025

ArticlePre-print

2024

Explainable MultiModal Learning in Remote Sensing: Challenges and Future Directions

A. Günther, H. Najjar, A. Dengel

In IEEE Geoscience and Remote Sensing Letters. 2024 · 2024

Article

Increasing the Robustness of Model Predictions to Missing Sensors in Earth Observation

F. Mena, D. Arenas, A. Dengel

MACLEAN workshop at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database (ECML-PKDD). 2024 · 2024

Article

Opening the Black Box: A systematic review on explainable artificial intelligence in remote sensing

A. Höhl, I. Obadic, M. A. Fernandez-Torres, H. Najjar, D. A. Borges Oliveira, Z. Akata, A. Dengel, and X. X. Zhu

In IEEE Geoscience and Remote Sensing Letters. 2024 · 2024

Article

Exploring Physics-Informed Neural Networks for Crop Yield Loss Forecasting

M. Miranda, M. Charfuelan, and A. Dengel

In NeurIPS 2024 Workshop on Tackling Climate Change with Machine Learning, 2024 · 2024

ArticleVideo

Assessment of Sentinel-2 spatial and temporal coverage based on the scene classification layer

C. Sanchez, F. Mena, M. Charfuelan, M. Nuske, A. Dengel

2024 IEEE International Symposium on Geoscience and Remote Sensing (IGARSS) · 2024

ArticlePre-print

Common Practices and Taxonomy in Deep Multi-view Fusion for Remote Sensing Applications

F. Mena, D. Arenas, M. Nuske, A. Dengel

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS) · 2024

ArticlePre-print

Multi-Modal Fusion Methods with Local Neighborhood Information for Crop Yield Prediction at Field and Subfield Levels

M. Miranda; D. Pathak; M. Nuske; A. Dengel

2024 IEEE International Geosciences and Remote Sensing Symposium (IGARSS) · 2024

Article

An Operational Approach to Large-Scale Crop Yield Prediction with Spatio-Temporal Machine Learning Models

P. Helber, B. Bischke, C. Packbier, P. Habelitz, F. Seefeldt

2024 IEEE International Geosciences and Remote Sensing Symposium (IGARSS) · 2024

Article

Impact Assessment of Missing Data in Model Predictions for Earth Observation Applications

F. Mena, D. Arenas, M. Charfuelan, M. Nuske, A. Dengel

2024 IEEE International Geosciences and Remote Sensing Symposium (IGARSS) · 2024

ArticlePre-printGitHub

Quantum Annealing-Based Algorithm for Efficient Coalition Formation Among LEO Satellites

S. M. Venkatesh, A. Macaluso, M. Nuske, M. Klusch and A. Dengel

2024 IEEE International Conference on Quantum Computing and Engineering (QCE) · 2024

ArticlePre-printGitHub

In the Search for Optimal Multi-View Learning Models for Crop Classification with Global Remote Sensing Data

F. Mena, D. Arenas, M. Nuske, A. Dengel

In review · 2024

ArticlePre-printGitHub

Q-Seg: Quantum Annealing-Based Unsupervised Image Segmentation

S. M. Venkatesh, A. Macaluso, M. Nuske, M. Klusch and A. Dengel

IEEE Computer Graphics and Applications · 2024

ArticlePre-printGitHub

Qubit-Efficient Variational Quantum Algorithms for Image Segmentation

S. M. Venkatesh, A. Macaluso, M. Nuske, M. Klusch and A. Dengel

2024 IEEE International Conference on Quantum Computing and Engineering (QCE) · 2024

ArticlePre-printGitHub

XAI-Guided Enhancement of Vegetation Indices for Crop Mapping

H. Najjar, F. Mena, M. Nuske, A. Dengel

2024 IEEE International Geosciences and Remote Sensing Symposium (IGARSS) · 2024

ArticlePre-print

2023

Adaptive Fusion of Multi-Modal Remote Sensing data for Optimal Sub-field Crop Yield Prediction

F. Mena, D. Pathak, H. Najjar, C. Sanchez, P. Helber, B. Bischke, P. Habelitz, M. Miranda, J. Siddamsetty, M. Nuske, M. Charfuelan, D. Arenas, M. Vollmer, A. Dengel

Remote Sensing of Environment, 318:114547, 2025 · 2023

ArticlePre-print

A Comparative Assessement of Multi-View Fusion Learning for Crop Classification

F. Mena, D. Arenas, M. Nuske, A. Dengel

2023 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · 2023

ArticlePre-printGitHub

Controlled Multi-modal Image Generation for Plant Growth Modeling

M. Miranda, L. Drees, R. Roscher

2022 26th International Conference on Pattern Recognition (ICPR) · 2023

Article

Crop Yield Prediction: an Operational Approach to Crop Yield Modeling on Field and Sub-Field Level with Machine Learning Models

P. Helber, B. Bischke, P. Habelitz, C. Sanchez, D. Pathak, M. Miranda, H. Najjar, F. Mena, J. Siddamsetty, D. Arenas, M. Vollmer, M. Charfuelan, M. Nuske, A. Dengel

2023 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · 2023

Article

Effect of Terrain Information on Multimodel Deep Learning for Flood Disaster Detection

T. Miyamoto, M. Stricker, J. Ogishima, K. Iselborn, M. Nuske, A. Dengel

2023 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · 2023

Article

Feature Attribution Methods for Multivariate Time-Series Explainability in Remote Sensing

H. Najjar, P. Helber, B. Bischke, P. Habelitz, C. Sanchez, F. Mena, M. Miranda, D. Pathak, J. Siddamsetty, D. Arenas, M. Vollmer, M. Charfuelan, M. Nuske, A. Dengel

2023 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · 2023

Article

Fusing Digital Elevation Maps with Satellite Imagery for Flood Mapping

M. Stricker, T. Miyamoto, K. Iselborn, M. Nuske, A. Dengel

2023 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · 2023

ArticleGitHub

Influence of Data Cleaning Techniques on Sub-Field Yield Predictions

C. Sanchez, D. Pathak, M. Miranda, M. Charfuelan, P. Helber, M. Nuske, B. Bischke, P. Habelitz, N. Rahman, F. Mena, H. Najjar, J. Siddamsetty, D. Arenas, M. Vollmer, A. Dengel

2023 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · 2023

Article

Inter-region Transfer Learning for Land Use Land Cover Classification

J. Siddamsetty, M. Stricker, M. Charfuelan, M. Nuske, A. Dengel

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences · 2023

Article

On the Importance of Feature Representation for Flood Mapping using Classical Machine Learning Approaches

K. Iselborn, M. Stricker, T. Miyamoto, M. Nuske, A. Dengel

Under Review · 2023

ArticleGitHub

Predicting Crop Yield with Machine Learning: an extensive Analysis of Input Modalities and Models on a Field and Sub-Field Level

D. Pathak, M. Miranda, F. Mena, C. Sanchez, P. Helber, B. Bischke, P. Habelitz, H. Najjar, J. Siddamsetty, D. Arenas, M. Vollmer, M. Charfuelan, M. Nuske, A. Dengel

2023 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · 2023

ArticlePre-print