Abstract
The growing availability of global measurements of sun-induced chlorophyll fluorescence (SIF) can help in improving crop monitoring, especially the monitoring of photosynthetic activity. However, variations in top-of-canopy (TOC) SIF cannot be directly interpreted as physiological changes because of the confounding effects of vegetation biochemistry (i.e. pigments, dry matter and water) and structure. In this study, we propose an approach of using radiative transfer models (RTMs) and TOC reflectance to estimate the biochemical and structural effects on TOC SIF, as a necessary step in retrieving physiological information from TOC SIF. The approach was assessed by using airborne (HyPlant) reflectance and SIF data acquired over an agricultural experimental farm in Germany on two days, before and during a heat event in summer 2015 with maximum temperatures of 27°C and 34°C, respectively. The results show that over 76% variation among different crops in SIF observations was explained by variation in vegetation biochemistry and structure. In addition, the changes of vegetation biochemistry and structure explained as much as 73% variation between the two days in far-red SIF, and 40% variation in red SIF. The remaining unexplained variation was mostly attributed to the variability in physiological status. We conclude that reflectance provides valuable information to account for biochemical and structural effects on SIF and to advance analysis of SIF observations. The combination of RTMs, reflectance and SIF opens new pathways to detect vegetation biochemical, structural and physiological changes.
Original language | English |
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Article number | 110996 |
Number of pages | 11 |
Journal | Remote sensing of environment |
Volume | 231 |
Early online date | 6 Dec 2018 |
DOIs | |
Publication status | Published - 15 Sep 2019 |
Keywords
- Airborne
- Canopy structure
- Chlorophyll fluorescence
- HyPlant
- Radiative transfer models
- Reflectance
- ITC-ISI-JOURNAL-ARTICLE
- 22/4 OA procedure
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Airborne HyPlant dataset before and during a heat wave in 2015 in Germany : Reflectance and sun-induced chlorophyll maps for crops before and during a heat wave
Yang, P. (Creator), van der Tol, C. (Contributor) & Rascher, U. (Data Collector), University of Twente, 16 Nov 2019
DOI: 10.17026/dans-x5g-jey5, https://www.persistent-identifier.nl/urn:nbn:nl:ui:13-b0-fdnl
Dataset