Comparison of Vegetation Phenology Derived from Solar-Induced Chlorophyll Fluorescence and Enhanced Vegetation Index, and Their Relationship with Climatic Limitations

Satellite-based vegetation datasets enable phenology detection at large scales, among which Solar-Induced Chlorophyll Fluorescence (SIF) and Enhanced Vegetation Index (EVI) are widely used proxies for detecting from photosynthesis greenness perspectives, respectively. Recent studies have revealed the divergent performances of SIF EVI estimating different metrics, i.e., start season (SOS) end (EOS); however, underlying mechanisms unclear. In this study, we compared SOS EOS natural ecosystems derived in China explored by investigating relationships between differences climatic limiting factors (i.e., temperature, water radiation). The results showed that generated using were diverse space, had a close relationship with limitations. increasing limitation index could result larger each dominant climate-limited area. extracted was more correlated than EVI, especially water-limited areas, making it main cause difference EVI. These findings highlight impact on improve our understanding land surface perspectives.