Integrate the Canopy SIF and Its Derived Structural and Physiological Components for Wheat Stripe Rust Stress Monitoring

Solar-induced chlorophyll fluorescence (SIF) has great advantages in the remote sensing detection of crop stress. However, under stripe rust stress, effects canopy structure and leaf physiology on variations SIF are unclear, these influencing factors entangled during development disease, resulting an unclear coupling relationship between SIFcanopy severity level (SL) which affects accuracy wheat rust. In this study, observed was decomposed into NIRVP, can characterize structure, SIFtot, sensitively reflect physiological status crops. Additionally, main driving different disease severities were analyzed, response characteristics SIFcanopy, SIFtot to SL stress studied. The results showed that when lower than 20%, NIRVP more sensitive variation correlation 6.6% higher SIFcanopy. Using component allows one detect state plants before vegetation area index realize early diagnosis diseases. When moderate incidence (20% < ≤ 45%), affected by both for better components. reached a severe (SL > highly significant with SL, could severity. research analyzing using signals effectively capture additional information about plant physiology, pathological caused earlier accurately, promote monitoring progress.