作者: Peiqi Yang , Christiaan van der Tol , Wout Verhoef , Alexander Damm , Anke Schickling
DOI: 10.1016/J.RSE.2018.11.039
关键词: Chemistry 、 Remote sensing 、 Vegetation (pathology) 、 Reflectivity 、 Atmospheric sciences 、 Photosynthesis 、 Chlorophyll fluorescence
摘要: Abstract The growing availability of global measurements sun-induced chlorophyll fluorescence (SIF) can help in improving crop monitoring, especially the monitoring photosynthetic activity. However, variations top-of-canopy (TOC) SIF cannot be directly interpreted as physiological changes because confounding effects vegetation biochemistry (i.e. pigments, dry matter and water) structure. In this study, we propose an approach using radiative transfer models (RTMs) TOC reflectance to estimate biochemical structural on SIF, a necessary step retrieving information from SIF. was assessed by airborne (HyPlant) data acquired over agricultural experimental farm Germany two days, before during heat event summer 2015 with maximum temperatures 27°C 34°C, respectively. results show that 76% variation among different crops observations explained addition, structure much 73% between days far-red 40% red remaining unexplained mostly attributed variability status. We conclude provides valuable account for advance analysis observations. combination RTMs, opens new pathways detect biochemical, changes.