Multi-sensor spectral synergies for crop stress detection and monitoring in the optical domain: A review

Berger, Katja; Machwitz, Miriam; Kycko, Marlena; C. Kefauver, Shawn; Van Wittenberghe, Shari; Gerhards, Max; Verrelst, Jochem; Atzberger, Clement; van der Tol, Christiaan; Damm, Alexander; Rascher, Uwe; Herrmann, Ittai; Sobejano Paz, Verónica; Fahrner, Sven; Pieruschka, Roland; Prikaziuk, Egor; Luisa Buchaillot, Ma.; Halabuk, Andrej; Celesti, Marco; Koren, Gerbrand; Tunç Görmüş, Esra; Rossini, Micol; Foerster, Michael; Siegmann, Bastian; Abdelbaki, Asmaa; Tagliabue, Giulia; Hank, Tobias; Darvishzadeh, Roshanak; Aasen, Helge; García, Mónica; Pôças, Isabel; Bandopadhyay, Subhajit; Sulis, Mauro; Tomelleri, Enrico; Rozenstein, Offer; Filchev, Lachezar; Stancile, Gheorghe; Schlerf, Martin

doi:10.1016/j.rse.2022.113198

Public

Multi-sensor spectral synergies for crop stress detection and monitoring in the optical domain: A review

Published in Remote Sensing of Environment • Aug 4, 2022

Authors:

Katja Berger

Miriam Machwitz

Marlena Kycko

Abstract

Remote detection and monitoring of the vegetation responses to stress became relevant for sustainable agriculture. Ongoing developments in optical remote sensing technologies have provided tools to increase our understanding of stress-related physiological processes. Therefore, this study aimed to p...

Subject

Remote sensing

Environmental science

Radiance

Finding related papers...

Discussions

(0)

No comments yet

Be the first to share your thoughts!