Exploring the spatial relationship between airborne-derived red and far-red sun-induced fluorescence and process-based GPP estimates in a forest ecosystem

Tagliabue, Giulia; Panigada, Cinzia; Dechant, Benjamin; Baret, Frédéric; Cogliati, Sergio; Colombo, R.; Migliavacca, Mirco; Rademske, Patrick; Schickling, Anke; Schüttemeyer, Dirk; Verrelst, Jochem; Rascher, Uwe; Ryu, Youngryel; Rossini, Micol

doi:10.1016/j.rse.2019.111272

Cited by 40 publications

(31 citation statements)

References 120 publications

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“…First, spatial variability within a given ecosystem type. This case is relevant for airborne remote sensing and could be tested in an approach that combines hyperspectral reflectance -based estimation of leaf and canopy parameters, SIF retrieval, and process-based modelling of GPP and APAR (Tagliabue et al, 2019).…”

Section: Implications For Large Scale Gpp Estimationmentioning

confidence: 99%

Canopy structure explains the relationship between photosynthesis and sun-induced chlorophyll fluorescence in crops

Dechant

Ryu

Badgley

et al. 2020

Remote Sensing of Environment

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223

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Remote sensing of far-red sun-induced chlorophyll fluorescence (SIF) has emerged as an important tool for studying gross primary productivity (GPP) at the global scale. However, the relationship between SIF and GPP at the canopy scale lacks a clear mechanistic explanation. This is largely due to the poorly characterized role of the relative contributions from canopy structure and leaf physiology to the variability of the top-of-canopy, observed SIF signal. In particular, the effect of the canopy structure beyond light absorption is that only a fraction (f esc) of the SIF emitted from all leaves in the canopy can escape from the canopy due to the strong scattering of near-infrared radiation. We combined rice, wheat and corn canopy-level in-situ datasets to study how the physiological and structural components of SIF individually relate to measures of photosynthesis. At seasonal time scales, we found a considerably strong positive correlation (R 2 =0.4-0.6) of f esc to the seasonal dynamics of the photosynthetic light use efficiency (LUE P), while the estimated physiological SIF yield was almost entirely uncorrelated to LUE P both at seasonal and diurnal time scales, with the partial exception of wheat. Consistent with these findings, the canopy structure and radiation component of SIF, defined as the product of APAR and f esc , explained the relationship of observed SIF to GPP and even outperformed GPP estimation based on observed SIF at two of the three sites investigated. These results held for both half-hourly and daily mean values. In contrast, the total emitted SIF, obtained by normalizing observed SIF for f esc , improved only the relationship to APAR but considerably decreased the correlation to GPP for all three crops. Our findings demonstrate the dominant role of canopy structure in the SIF-GPP relationship and establish a strong, mechanistic link between the near-infrared reflectance of vegetation (NIR V) and the relevant canopy structure information contained in the SIF signal. These insights are expected to be useful in improving remote sensing based GPP estimates.

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Section: Implications For Large Scale Gpp Estimationmentioning

confidence: 99%

Canopy structure explains the relationship between photosynthesis and sun-induced chlorophyll fluorescence in crops

Dechant

Ryu

Badgley

et al. 2020

Remote Sensing of Environment

Self Cite

223

171

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“…Many use PROSPECT for the leaf, as typically indicated with the prefix 'PRO' in the name of the model. Several GSAs have been carried out for the PROINFORM model [12][13][14]. In a GSA of PROSAIL and PROGEOSAIL in relation to fuel moisture content, Bowyer and Danson [15] showed that leaf area index (LAI) and fraction of vegetation cover dominated reflectance in shortwave infrared (SWIR) region.…”

Section: Introductionmentioning

confidence: 99%

Global Sensitivity Analysis of the SCOPE Model in Sentinel-3 Bands: Thermal Domain Focus

Prikaziuk¹,

Tol²

2019

Remote Sensing

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Sentinel-3 satellite has provided simultaneous observations in the optical (visible, near infrared (NIR), shortwave infrared (SWIR)) and thermal infrared (TIR) domains since 2016, with a revisit time of 1–2 days. The high temporal resolution and spectral coverage make the data of this mission attractive for vegetation monitoring. This study explores the possibilities of using the Soil Canopy Observation, Photochemistry and Energy fluxes (SCOPE) model together with Sentinel-3 to exploit the two sensors onboard of Sentinel-3 (the ocean and land color instrument (OLCI) and sea and land surface temperature radiometer (SLSTR)) in synergy. Sobol’ variance based global sensitivity analysis (GSA) of top of atmosphere (TOA) radiance produced with a coupled SCOPE-6S model was conducted for optical bands of OLCI and SLSTR, while another GSA of SCOPE was conducted for the land surface temperature (LST) product of SLSTR. The results show that in addition to ESA level-2 Sentinel-3 products, SCOPE is able to retrieve leaf area index (LAI), leaf chlorophyll content (Cab), leaf water content (Cw), leaf senescent material (Cs), leaf inclination distribution (LAD). Leaf dry matter content (Cdm) and soil brightness, despite being important, were not confidently retrieved in some cases. GSA of LST in TIR domain showed that plant biochemical parameters—maximum carboxylation rate (Vcmax) and stomata conductance-photosynthesis slope (Ball-Berry m)—can be constrained if prior information on near-surface weather conditions is available. We conclude that the combination of optical and thermal domains facilitates the constraint of the land surface energy balance using SCOPE.

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“…The study concluded that photosynthetic stomatal conductivity may be a reason for such variations. In a different work, Tagliabue et al [119] showed the relationship between GPP and absorbed photosynthetically active radiation (APAR) with both the oxygen absorption bands of SIF over a mixed forest site (Hardt Forest at Alsace) of France using HyPlant data. The outcome revealed that SIF 687 has a non-significant relationship with GPP and APAR, whereas SIF 760 has a significant non-linear relationship with GPP and APAR.…”

Section: Hyplant-related Sif Studiesmentioning

confidence: 99%

Review of Top-of-Canopy Sun-Induced Fluorescence (SIF) Studies from Ground, UAV, Airborne to Spaceborne Observations

Bandopadhyay

Rastogi

Juszczak

2020

Sensors

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Remote sensing (RS) of sun-induced fluorescence (SIF) has emerged as a promising indicator of photosynthetic activity and related stress from the leaf to the ecosystem level. The implementation of modern RS technology on SIF is highly motivated by the direct link of SIF to the core of photosynthetic machinery. In the last few decades, a lot of studies have been conducted on SIF measurement techniques, retrieval algorithms, modeling, application, validation, and radiative transfer processes, incorporating different RS observations (i.e., ground, unmanned aerial vehicle (UAV), airborne, and spaceborne). These studies have made a significant contribution to the enrichment of SIF science over time. However, to realize the potential of SIF and to explore its full spectrum using different RS observations, a complete document of existing SIF studies is needed. Considering this gap, we have performed a detailed review of current SIF studies from the ground, UAV, airborne, and spaceborne observations. In this review, we have discussed the in-depth interpretation of each SIF study using four RS platforms. The limitations and challenges of SIF studies have also been discussed to motivate future research and subsequently overcome them. This detailed review of SIF studies will help, support, and inspire the researchers and application-based users to consider SIF science with confidence.

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Exploring the spatial relationship between airborne-derived red and far-red sun-induced fluorescence and process-based GPP estimates in a forest ecosystem

Cited by 40 publications

References 120 publications

Canopy structure explains the relationship between photosynthesis and sun-induced chlorophyll fluorescence in crops

Canopy structure explains the relationship between photosynthesis and sun-induced chlorophyll fluorescence in crops

Global Sensitivity Analysis of the SCOPE Model in Sentinel-3 Bands: Thermal Domain Focus

Review of Top-of-Canopy Sun-Induced Fluorescence (SIF) Studies from Ground, UAV, Airborne to Spaceborne Observations

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