Multi-sensor Spectral Synergies for Crop Stress Detection and Monitoring in the Optical Domain: A Review
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 Pocas,Subhajit Bandopadhyay,Mauro Sulis,Enrico Tomelleri,Offer Rozenstein,Lachezar Filchev, Gheorghe Stancile,Martin Schlerf Remote Sensing of Environment(2022)
Key words
Precision agriculture multi-modal solar-induced fluorescence satellite hyperspectral,multispectral biotic and abiotic stress
AI Read Science
Must-Reading Tree
Example

Generate MRT to find the research sequence of this paper