| 1 | A data cube of big satellite image time-series for agriculture monitoring | 2022 | 5 | |
| 2 | A Data Cube of Big Satellite Image Time-Series for Agriculture Monitoring | 2022 | 4 | |
| 3 | Monitoring digestate application on agricultural crops using Sentinel-2 Satellite imagery | 2025 | 3 | |
| 4 | Remote sensing of grasslands: Performance comparison of radar and optical data in machine learning classification | 2025 | 3 | |
| 5 | Semi-supervised deep learning for change detection in agricultural fields using sentinel-2 imagery | 2024 | 3 | |
| 6 | Deep-learning-based grassland mapping with Sentinel-2: prioritizing key spectral bands and time periods | 2025 | 1 | |
| 7 | Mapping of Weed Management Methods in Orchards using Sentinel-2 and PlanetScope Data | 2025 | 1 | |
| 8 | Estimation of Agricultural Intensification Through Semi-Supervised Deep Learning on Sentinel-2 Imagery | 2025 | 0 | |
| 9 | Cloud gap-filling with deep learning for improved grassland monitoring | 2024 | 0 | |
| 10 | Semi-Supervised Deep Learning for Change Detection in Agricultural Fields Using Sentinel-2 Imagery | 2024 | 0 | |
| 11 | Mowing detection intercomparison exercise-MODCiX | 2023 | 0 | |
| 12 | MODCiX–Mowing detection intercomparison exercise | 2023 | 0 | |
| 13 | Deep Learning for Event Detection on Grasslands | 2021 | 0 | |
| 14 | Deep Learning-Based Grassland Classification Using Multi-Modal Sentinel-1, Sentinel-2, and Street-Level Imagery | -1 | 0 | |
| 15 | Mowing Detection Intercomparison Exercise (MODCiX)–A Cross-European Evaluation of Grassland Mowing Detection Algorithms | -1 | 0 | |