Asmaa Abdelbaki#
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2022#
Asmaa Abdelbaki and Thomas Udelhoven (2022): A Review of Hybrid Approaches for Quantitative Assessment of Crop Traits Using Optical Remote Sensing: Research Trends and Future Directions. Remote Sensing. https://doi.org/10.3390/rs14153515, Open Access ✔️.
Katja Berger, Miriam Machwitz, Marlena Kycko, Shawn C. Kefauver, Shari Van Wittenberghe, Max Gerhards, Jochem Verrelst, Clement Atzberger, Christiaan van der Tol, Alexander Damm, Uwe Rascher, Ittai Herrmann, Veronica Sobejano Paz, Sven Fahrner, Roland Pieruschka, Egor Prikaziuk, Ma. Luisa Buchaillot, Andrej Halabuk, Marco Celesti, Gerbrand Koren, Esra Tunc Gormus, Micol Rossini, Michael Foerster, Bastian Siegmann, Asmaa Abdelbaki, Giulia Tagliabue, Tobias Hank, Roshanak Darvishzadeh, Helge Aasen, Monica Garcia, Isabel Pôças, Subhajit Bandopadhyay, Mauro Sulis, Enrico Tomelleri, Offer Rozenstein, Lachezar Filchev, Gheorghe Stancile, and Martin Schlerf (2022): Multi-sensor spectral synergies for crop stress detection and monitoring in the optical domain: A review. Remote Sensing of Environment, 280, 113198. https://doi.org/10.1016/j.rse.2022.113198, Open Access ✔️.
2021#
Asmaa Abdelbaki, Martin Schlerf, Rebecca Retzlaff, Miriam Machwitz, Jochem Verrelst, and Thomas Udelhoven (2021): Comparison of Crop Trait Retrieval Strategies Using UAV-Based VNIR Hyperspectral Imaging. Remote Sensing, 13(9), 1748. https://doi.org/10.3390/rs13091748, Open Access ✔️.
2019#
Asmaa Abdelbaki, Martin Schlerf, Wout Verhoef, and Thomas Udelhoven (2019): Introduction of Variable Correlation for the Improved Retrieval of Crop Traits Using Canopy Reflectance Model Inversion. Remote Sensing, 11(22), 2681. https://doi.org/10.3390/rs11222681, Open Access ✔️.