Expertises
Earth and Planetary Sciences
- Crop Yield
- MODIS
- Photosynthetically Active Radiation
- Comparative Analysis
- Explainable Artificial Intelligence
- Sentinel-2
Agricultural and Biological Sciences
- Annuals
- Crops
Organisaties
Publicaties
2026
Global near real-time 500 m 10 d FPAR dataset from MODIS and VIIRS for operational agricultural monitoring and crop yield forecasting (2026)Earth system science data, 18(1), 309-331. Seguini, L., Klisch, A., Meroni, M., Vrieling, A., Manfron, G., Atzberger, C. & Rembold, F.https://doi.org/10.5194/essd-18-309-2026
2025
Expert-driven explainable artificial intelligence models can detect multiple climate hazards relevant for agriculture (2025)Communications Earth & Environment, 6(1). Article 207. Hrast Essenfelder, A., Toreti, A. & Seguini, L.https://doi.org/10.1038/s43247-024-01987-3A global near real-time filtered 500m 10-day FPAR dataset from MODIS and VIIRS instruments, suited for operational agricultural monitoring and crop yield forecasting (2025)[Dataset Types › Dataset]. Joint Research Centre. Seguini, L., Vrieling, A., Klisch, A., Meroni, M., Manfron, G., Atzberger, C. & Rembold, F.https://doi.org/10.2905/1aac79d8-0d68-4f1c-a40f-b6e362264e50From MODIS to Sentinel-2: A regional comparative analysis of crop-yield prediction with matched spatiotemporal data (2025)IEEE Journal of selected topics in applied earth observations and remote sensing, 18, 27663-27683. Article 21. Adriko, K., Sedona, R., Seguini, L., Riedel, M., Cavallaro, G. & Paris, C.https://doi.org/10.1109/JSTARS.2025.3624046
2024
Annual winter crop distribution from MODIS NDVI timeseries to improve yield forecasts for Europe (2024)International Journal of Applied Earth Observation and Geoinformation (JAG), 130. Article 103898. Seguini, L., Vrieling, A., Meroni, M. & Nelson, A.https://doi.org/10.1016/j.jag.2024.103898
Onderzoeksprofielen
Adres
Universiteit Twente
Langezijds
Postbus 217
7500 AE Enschede
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