AI4EO :: Publications

Publications

2025

Conferences

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

Article Pre-print
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

Pre-print
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

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

Article
Informed learning for efficient crop yield prediction

M. Miranda, F. Mena, M. Charfuelan, A. Dengel

IGARSS 2025 - 2025 IEEE International Geoscience and Remote Sensing Symposium

Article
Can multitask learning enhance model intrinsic interpretability?

H. Najjar, B. Alshbib, A. Dengel

DAGM German Conference on Pattern Recognition GCPR 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

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)

GitHub Pre-print
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)

Article GitHub
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

Article

Publications

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

F. Mena, D. Arenas, A. Dengel

Neurocomputing, Volume 638

Article GitHub
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)

Article Pre-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

Article

2024

Conferences

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

Article Video
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)

Article Pre-print
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)

Article Pre-print GitHub
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)

Article Pre-print
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)

Article Pre-print GitHub
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)

Article Pre-print GitHub
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)

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

Pre-print
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)

Article

Publications

Explainable MultiModal Learning in Remote Sensing: Challenges and Future Directions

A. Günther, H. Najjar, A. Dengel

In IEEE Geoscience and Remote Sensing Letters. 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

Article
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)

Article Pre-print
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

Pre-print GitHub
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

Article Pre-print GitHub

2023

Conferences

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

Article
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)

Article Pre-print GitHub
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)

Article
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)

Article Pre-print
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)

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)

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)

Article GitHub
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)

Article
Controlled Multi-modal Image Generation for Plant Growth Modeling

M. Miranda, L. Drees, R. Roscher

2022 26th International Conference on Pattern Recognition (ICPR)

Article

Publications

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

Article Pre-print
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

Pre-print GitHub

Publications

2025

Conferences

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

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

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

REGDIFF: Regression diffusion for Earth Observation

Informed learning for efficient crop yield prediction

Can multitask learning enhance model intrinsic interpretability?

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

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

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

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

Publications

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

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

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

2024

Conferences

Exploring Physics-Informed Neural Networks for Crop Yield Loss Forecasting

XAI-Guided Enhancement of Vegetation Indices for Crop Mapping

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

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

Qubit-Efficient Variational Quantum Algorithms for Image Segmentation

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

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

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

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

Publications

Explainable MultiModal Learning in Remote Sensing: Challenges and Future Directions

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

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

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

Q-Seg: Quantum Annealing-Based Unsupervised Image Segmentation

2023

Conferences

Inter-region Transfer Learning for Land Use Land Cover Classification

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

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

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

Influence of Data Cleaning Techniques on Sub-Field Yield Predictions

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

Fusing Digital Elevation Maps with Satellite Imagery for Flood Mapping

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

Controlled Multi-modal Image Generation for Plant Growth Modeling

Publications

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

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