Table of Contents
Remote Sens., Volume 9, Issue 5 (May 2017)
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Cover Story (view full-size image) Passive detection of sun-induced chlorophyll fluorescence has arisen as the most powerful remote [...] Read more. Passive detection of sun-induced chlorophyll fluorescence has arisen as the most powerful remote sensing tool to quantify dynamic changes of photosynthetic activity at large vegetation scales. However, the interpretation of the fluorescence measured at these levels is still constrained by an insufficient understanding of how the vegetation structure affects the distribution patterns of this signal on top of canopy. To answer this question, we designed a novel approach that provided a pixel-based co-registration of sun-induced fluorescence images and a surface model of a sugar beet canopy, both measured at ground level with a high resolution. The results describe for the first time how spatio temporal variations of fluorescence are related to the orientation, inclination and distribution of the leaves in a canopy, in relation to the sun and observer positions. View this paper