My PhD topic is about rice health assessment using remote sensing, particularly focusing on rice bacterial leaf blight (BLB) disease. I use field hyperspectral measurements, drone imagery and satellite imagery to detect BLB on different spatial scales. I aim to diagnose rice disease and guide management practices based on multi-source remote sensing and other relevant agricultural information.
Expertise
Computer Science
- Hyperspectral Data
- Data Sharing
- Data Source
- Optical Spectrum
- Policy Decision
Earth and Planetary Sciences
- Spectral Band
- Remote Sensing
- Spectral Signature
Organisations
Publications
2026
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.Remote sensing-based rice stress and health assessment: current and future perspectives (2026)International journal of remote sensing, 47(4), 1759-1808. Wang, Z., Darvishzadeh, R. & Nelson, A. D.https://doi.org/10.1080/01431161.2026.2612851
2025
Rice bacterial leaf blight detection using canopy hyperspectral data with spectral transformation methods (2025)[Contribution to conference › Poster] Living Planet Symposium 2025. Wang, Z., Darvishzadeh, R., Castilla, N. P., Laborte, A. G. & Nelson, A. D.
2024
Understanding the effects of bacterial leaf blight on rice spectral signature (2024)[Contribution to conference › Abstract] 13th EARSeL Workshop on Imaging Spectroscopy 2024. Wang, Z., Darvishzadeh, R., Castilla, N. P., Laborte, A. G. & Nelson, A. D.https://is.earsel.org/workshop/13-IS-Valencia2024/
2023
Understanding the effects of bacterial leaf blight disease on rice spectral signature (2023)[Contribution to conference › Poster] 6th International Rice Congress 2023. Wang, Z., Darvishzadeh, R., Laborte, A. G., Castilla, N. P. & Nelson, A. D.
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