Publications

2026

Remote sensing of pre-planting and post-harvesting agricultural practices (2026)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). Fikriyah, V. N.https://doi.org/10.3990/1.9789036573009Tillage Practice Discrimination Using High-Resolution PlanetScope and Sentinel-2 Imagery (2026)Photonirvachak = Journal of the Indian society of remote sensing. Fikriyah, V. N., Darvishzadeh, R., Haefele, S. M. & Nelson, A. D.https://doi.org/10.1007/s12524-026-02580-1Uncertainties in optical remote sensing of plant diversity (2026)Remote sensing of environment, 348. Article 115688 (E-pub ahead of print/First online). Rossi, C., Hueni, A., Koch, T. L., Pacheco-Labrador, J., Karaman, K., Abdullah, H., Darvishzadeh, R., Gholizadeh, H., Féret, J.-B., Torresani, M., Vihervaara, P. & Santos, M. J.https://doi.org/10.1016/j.rse.2026.115688Early 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.2026.105511WhiteML-Box: An open-source graphical toolbox for spectral machine-learning-based vegetation trait modelling and mapping (2026)[Dataset Types › Software]. Zenodo. Abdullah, H., Neinavaz, E. & Darvishzadeh, R.https://doi.org/10.5281/zenodo.21914301A 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-3-2026-973-2026

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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