Publications

2026

Early detection of rice bacterial leaf blight disease using canopy hyperspectral data and machine learning (2026)International Journal of Applied Earth Observation and Geoinformation (JAG), 153, 105511. Article 105511. Wang, Z., Darvishzadeh, R., Castilla, N. P., Laborte, A. G. & Nelson, A. D.https://doi.org/10.1016/j.jag.2026.105511A mechanistic model integrating multi-source data for operational prediction of rice sheath blight at regional scale (2026)Pest Management Science. Tian, Y., Jin, Z., Darvishzadeh, R., Laborte, A. G., Yuan, L., Zhang, J. & Ma, H.https://doi.org/10.1002/ps.71147Estimating Leaf Area Index of Hyrcanian forests using Landsat-8 and Sentinel-2 Data (2026)Forest Science, 72(4), 559-584. Mousavi, S. Z., Mohammadi, J., Shataee, S., Ghorbani, K., Rahmani, R. & Darvishzadeh, R.https://doi.org/10.1007/s44391-026-00067-7Multi-temporal, multi-modal UAV and machine learning framework for early detection and mapping of Bacterial Leaf Blight in Rice (2026)In XXV ISPRS Congress 2026: From Imagery to Understanding - Commission III (pp. 1451-1456) (International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives). Copernicus. Doddamani, M., Wang, Z., Ellsäßer, F. J., Castilla, N. P., Laborte, A. G., Nelson, A. D., Klassen, S. & Darvishzadeh, R.https://doi.org/10.5194/isprs-archives-XLIX-B3-2026-1451-2026Multi-temporal, multi-modal UAV and machine learning framework for early detection and mapping of Bacterial Leaf Blight in Rice (2026)[Contribution to conference › Poster] 25th ISPRS Congress 2026 . Doddamani, M., Wang, Z., Ellsäßer, F. J., Castilla, N. P., Laborte, A. G., Nelson, A. D., Klassen, S. & Darvishzadeh, R.Remote sensing of maize physiological and nutrient dynamics in response to Fall Armyworm infestation (2026)In ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences: XXV ISPRS Congress 2026 “From Imagery to Understanding”, Commission III (pp. 973-979) (ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences). Copernicus. Dzurume, T., Darvishzadeh, R., Dube, T., Isleem, W. R. S., Ibrahim, I. & Nelson, A. D.https://doi.org/10.5194/isprs-annals-XI-3-2026-973-2026Advancing remote sensing of ecosystem functioning and health under climate change (2026)[Contribution to conference › Poster] 4th World Biodiversity Forum, WBF 2026. Sun, Q., Neinavaz, E., Dou, Y. & Darvishzadeh, R.Fusing airborne VNIR–SWIR–thermal data for early detection of European spruce bark beetle green attack (2026)[Contribution to conference › Abstract] 14th EARSeL Workshop on Imaging Spectroscopy. Abdullah, H., Skidmore, A. K., Darvishzadeh, R., Neinavaz, E., Huesca Martinez, M., Reusen, I. & Heurich, M.Hyperspectral assessment of bacterial leaf blight disease in young rice canopies (2026)[Contribution to conference › Poster] 14th EARSeL Workshop on Imaging Spectroscopy. Wang, Z., Darvishzadeh, R., Castilla, N. P., Laborte, A. G. & Nelson, A. D.Uncertainty budget in in-situ field measurements and its propagation in remote sensing-derived biodiversity products (2026)[Contribution to conference › Poster] 14th EARSeL Workshop on Imaging Spectroscopy. Raghu, D., Darvishzadeh, R., Neinavaz, E. & Abdullah, H.

Research profiles

Courses academic year 2026/2027

Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.

Courses academic year 2025/2026

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EO4 Crop Response to Stress: https://www.itc.nl/news/2023/5/670428/monitoring-crop-response-to-multiple-stressors-using-new-earth-observation-satellite-data-eo4cerealstress

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Netherlands

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