Affiliation:
1. Key Laboratory for Geographical Process Analysis & Simulation of Hubei Province School of Urban and Environmental Sciences Central China Normal University Wuhan China
2. Faculty of Geosciences and Environmental Engineering Southwest Jiaotong University Chengdu China
3. School of Engineering The University of Western Australia Perth WA Australia
4. Macro Agriculture Research Institute College of Resource and Environment Huazhong Agricultural University Wuhan China
5. CIDE CSIC‐UV‐GV València Spain
6. CREAF Barcelona Spain
7. CSIC Global Ecology Unit CREAF‐CSIC‐UAB Barcelona Spain
Abstract
AbstractRemote sensing detection of autumn phenology is challenging and highly uncertain, as exemplified by the observed divergence in autumn phenology extracted from different proxies. Here, we compared the autumn phenology derived from Solar‐Induced chlorophyll Fluorescence (SIF), Chlorophyll/Carotenoid Index (CCI), Enhanced Vegetation Index (EVI), and Normalized Difference Vegetation Index (NDVI) over deciduous forest sites. We observed a clear temporal sequence in the derived autumn phenology from various proxies: SIF < CCI < EVI < NDVI. Comparison with field measurements supported that SIF, EVI, and NDVI can successfully capture the attenuation of photosynthetic activity, leaf coloration, and leaf fall, respectively. The sequence among the autumn phenology derived from those proxies was also consistent with their responses to climate cues, where SIF had the highest partial correlation coefficient to solar radiation in autumn, followed by CCI, EVI, and NDVI, while NDVI was more correlated with temperature, followed by EVI, CCI, and SIF.
Publisher
American Geophysical Union (AGU)