1.Genty, B., Wonders, J. & Baker, N. R. Non-photochemical quenching of Fo in leaves is emission wavelength dependent: consequences for quenching analysis and its interpretation. Photosynth. Res. 26, 133–139 (1990).CAS
PubMed
Article
PubMed Central
Google Scholar
2.Franck, F., Juneau, P. & Popovic, R. Resolution of the photosystem I and photosystem II contributions to chlorophyll fluorescence of intact leaves at room temperature. Biochim. Biophys. Acta 1556, 239–246 (2002).CAS
PubMed
Article
PubMed Central
Google Scholar
3.Neubauer, C. & Schreiber, U. The polyphasic rise of chlorophyll fluorescence upon onset of strong continuous illumination: I. Saturation characteristics and partial control by the photosystem II acceptor side. Z. f.ür. Naturforsch. C. 42, 1246–1254 (1987).CAS
Article
Google Scholar
4.Strasser, R. J., Tsimilli-Michael, M. & Srivastava, A. in Chlorophyll a Fluorescence. Advances in Photosynthesis and Respiration Vol. 19 (eds Papageorgiou G. C. & Govindjee) 321–362 (Springer, 2004).5.Schreiber, U., Schliwa, U. & Bilger, W. Continuous recording of photochemical and non-photochemical chlorophyll fluorescence quenching with a new type of modulation fluorometer. Photosynth. Res. 10, 51–62 (1986).CAS
PubMed
Article
PubMed Central
Google Scholar
6.Maxwell, K. & Johnson, G. N. Chlorophyll fluorescence—a practical guide. J. Exp. Bot. 51, 659–668 (2000).CAS
PubMed
Article
PubMed Central
Google Scholar
7.Govindjee, E. 63 years since Kautsky-chlorophyll-a fluorescence. Aust. J. Plant Physiol. 22, 131–160 (1995).CAS
Google Scholar
8.Porcar-Castell, A. et al. Linking chlorophyll a fluorescence to photosynthesis for remote sensing applications: mechanisms and challenges. J. Exp. Bot. 65, 4065–4095 (2014).CAS
PubMed
Article
PubMed Central
Google Scholar
9.Tikkanen, M., Rantala, S., Grieco, M. & Aro, E. Comparative analysis of mutant plants impaired in the main regulatory mechanisms of photosynthetic light reactions–from biophysical measurements to molecular mechanisms. Plant Physiol. Biochem. 112, 290–301 (2017).CAS
PubMed
Article
PubMed Central
Google Scholar
10.Kolber, Z. et al. Measuring photosynthetic parameters at a distance: laser induced fluorescence transient (LIFT) method for remote measurements of photosynthesis in terrestrial vegetation. Photosynth. Res. 84, 121–129 (2005).CAS
PubMed
Article
PubMed Central
Google Scholar
11.Keller, B. et al. Genotype specific photosynthesis × environment interactions captured by automated fluorescence canopy scans over two fluctuating growing seasons. Front. Plant Sci. 10, 1482 (2019).PubMed
PubMed Central
Article
Google Scholar
12.Mohammed, G. H. et al. Remote sensing of solar-induced chlorophyll fluorescence (SIF) in vegetation: 50 years of progress. Remote Sens. Environ. 231, 111177 (2019).PubMed
PubMed Central
Article
Google Scholar
13.Evain, S., Camenen, L. & Moya, I. Three-channel detector for remote sensing of chlorophyll fluorescence and reflectance from vegetation. In: 8th International Symposium: Physical Measurements and Signatures in Remote Sensing (ed. Leroy, M.) 395–400 (CNES, 2001).14.Louis, J. et al. Remote sensing of sunlight-induced chlorophyll fluorescence and reflectance of Scots pine in the boreal forest during spring recovery. Remote Sens. Environ. 96, 37–48 (2005).Article
Google Scholar
15.Guanter, L. et al. Estimation of solar-induced vegetation fluorescence from space measurements. Geophys. Res. Lett. 34, L08401 (2007).Article
CAS
Google Scholar
16.Aasen, H. et al. Sun-induced chlorophyll fluorescence II: review of passive measurement setups, protocols, and their application at the leaf to canopy level. Remote Sens. 11, 927 (2019).Article
Google Scholar
17.Yang, X. et al. Solar-induced chlorophyll fluorescence that correlates with canopy photosynthesis on diurnal and seasonal scales in a temperate deciduous forest. Geophys. Res. Lett. 42, 2977–2987 (2015).CAS
Article
Google Scholar
18.Magney, T. S. et al. Mechanistic evidence for tracking the seasonality of photosynthesis with solar-induced fluorescence. Proc. Natl Acad. Sci. USA 116, 11640–11645 (2019).CAS
PubMed
PubMed Central
Google Scholar
19.Bendig, J., Malenovský, Z., Gautam, D. & Lucieer, A. Solar-induced chlorophyll fluorescence measured from an unmanned aircraft system: sensor etaloning and platform motion correction. IEEE Trans. Geosci. Remote Sens. 58, 3437–3444 (2019).Article
Google Scholar
20.Vargas, J. Q. et al. Unmanned aerial systems (UAS)-based methods for solar induced chlorophyll fluorescence (SIF) retrieval with non-imaging spectrometers: state of the art. Remote Sens. 12, 1624 (2020).Article
Google Scholar
21.Rascher, U. et al. Sun-induced fluorescence—a new probe of photosynthesis: First maps from the imaging spectrometer HyPlant. Glob. Change Biol. 21, 4673–4684 (2015).CAS
Article
Google Scholar
22.Frankenberg, C. et al. The chlorophyll fluorescence imaging spectrometer (CFIS), mapping far red fluorescence from aircraft. Remote Sens. Environ. 217, 523–536 (2018).Article
Google Scholar
23.Frankenberg, C. et al. New global observations of the terrestrial carbon cycle from GOSAT: patterns of plant fluorescence with gross primary productivity. Geophys. Res. Lett. 38, 17706 (2011).Article
CAS
Google Scholar
24.Köhler, P. et al. Global retrievals of solar-induced chlorophyll fluorescence at red wavelengths with TROPOMI. Geophys. Res. Lett. 47, e2020GL087541 (2020).Article
CAS
Google Scholar
25.Drusch, M. et al. The fluorescence explorer mission concept—ESA’s Earth Explorer 8. IEEE Trans. Geosci. Remote Sens. 55, 1273–1284 (2016).Article
Google Scholar
26.Olascoaga, B., Mac Arthur, A., Atherton, J. & Porcar-Castell, A. A comparison of methods to estimate photosynthetic light absorption in leaves with contrasting morphology. Tree Physiol. 36, 368–379 (2016).PubMed
PubMed Central
Article
Google Scholar
27.Zhang, Z. et al. Assessing bi-directional effects on the diurnal cycle of measured solar-induced chlorophyll fluorescence in crop canopies. Agric. Meteorol. 295, 108147 (2020).Article
Google Scholar
28.Bittner, T., Irrgang, K., Renger, G. & Wasielewski, M. R. Ultrafast excitation energy transfer and exciton-exciton annihilation processes in isolated light harvesting complexes of photosystem II (LHC II) from spinach. J. Phys. Chem. 98, 11821–11826 (1994).CAS
Article
Google Scholar
29.Kalaji, H. M. et al. Frequently asked questions about chlorophyll fluorescence, the sequel. Photosynth. Res. 132, 13–66 (2017).CAS
PubMed
Article
PubMed Central
Google Scholar
30.Genty, B., Briantais, J. & Baker, N. R. The relationship between the quantum yield of photosynthetic electron transport and quenching of chlorophyll fluorescence. Biochim. Biophys. Acta 990, 87–92 (1989).CAS
Article
Google Scholar
31.Anderson, J. M., Chow, W. S. & Goodchild, D. J. Thylakoid membrane organisation in sun/shade acclimation. Funct. Plant Biol. 15, 11–26 (1988).Article
Google Scholar
32.Ballottari, M., Dall’Osto, L., Morosinotto, T. & Bassi, R. Contrasting behavior of higher plant photosystem I and II antenna systems during acclimation. J. Biol. Chem. 282, 8947–8958 (2007).CAS
PubMed
Article
PubMed Central
Google Scholar
33.Schreiber, U., Klughammer, C. & Kolbowski, J. Assessment of wavelength-dependent parameters of photosynthetic electron transport with a new type of multi-color PAM chlorophyll fluorometer. Photosynth. Res. 113, 127–144 (2012).CAS
PubMed
PubMed Central
Article
Google Scholar
34.Laisk, A. et al. A computer-operated routine of gas exchange and optical measurements to diagnose photosynthetic apparatus in leaves. Plant Cell Environ. 25, 923–943 (2002).CAS
Article
Google Scholar
35.Pfündel, E. Estimating the contribution of photosystem I to total leaf chlorophyll fluorescence. Photosynthesis Res. 56, 185–195 (1998).Article
Google Scholar
36.Peterson, R. B. et al. Fluorescence Fo of photosystems II and I in developing C3 and C4 leaves, and implications on regulation of excitation balance. Photosynth. Res. 122, 41–56 (2014).CAS
PubMed
Article
PubMed Central
Google Scholar
37.Pfündel, E. E. Simultaneously measuring pulse-amplitude-modulated (PAM) chlorophyll fluorescence of leaves at wavelengths shorter and longer than 700 nm. Photosynth. Res. 147, 345–358 (2021).PubMed
Article
CAS
PubMed Central
Google Scholar
38.Demmig-Adams, B. & Adams, W. W. III Photoprotection in an ecological context: the remarkable complexity of thermal energy dissipation. N. Phytol. 172, 11–21 (2006).CAS
Article
Google Scholar
39.Porcar-Castell, A. A high-resolution portrait of the annual dynamics of photochemical and non-photochemical quenching in needles of Pinus sylvestris. Physiol. Plant. 143, 139–153 (2011).CAS
PubMed
Article
PubMed Central
Google Scholar
40.Van der Tol, C., Berry, J. A., Campbell, P. & Rascher, U. Models of fluorescence and photosynthesis for interpreting measurements of solar-induced chlorophyll fluorescence. J. Geophys. Res. 119, 2312–2327 (2014).Article
Google Scholar
41.Springer, K. R., Wang, R. & Gamon, J. A. Parallel seasonal patterns of photosynthesis, fluorescence, and reflectance indices in boreal trees. Remote Sens. 9, 691 (2017).Article
Google Scholar
42.Zhang, C. et al. Do all chlorophyll fluorescence emission wavelengths capture the spring recovery of photosynthesis in boreal evergreen foliage? Plant Cell Environ. 42, 3264–3279 (2019).CAS
PubMed
Article
PubMed Central
Google Scholar
43.Ensminger, I. et al. Intermittent low temperatures constrain spring recovery of photosynthesis in boreal Scots pine forests. Glob. Change Biol. 10, 995–1008 (2004).Article
Google Scholar
44.Verhoeven, A. Sustained energy dissipation in winter evergreens. New Phytol. 201, 57–65 (2014).Article
Google Scholar
45.Gu, L., Han, J., Wood, J. D., Chang, C. Y. & Sun, Y. Sun-induced Chl fluorescence and its importance for biophysical modeling of photosynthesis based on light reactions. New Phytol. 223, 1179–1191 (2019).CAS
PubMed
Article
PubMed Central
Google Scholar
46.Raczka, B. et al. Sustained nonphotochemical quenching shapes the seasonal pattern of solar-induced fluorescence at a high-elevation evergreen forest. J. Geophys. Res. 124, 2005–2020 (2019).Article
Google Scholar
47.Nixon, P. J. Chlororespiration. Philos. Trans. R. Soc. Lond. B 355, 1541–1547 (2000).CAS
Article
Google Scholar
48.Ogren, W. L. Photorespiration: pathways, regulation, and modification. Annu. Rev. Plant Physiol. 35, 415–442 (1984).CAS
Article
Google Scholar
49.Asada, K. The water-water cycle in chloroplasts: scavenging of active oxygens and dissipation of excess photons. Annu. Rev. Plant Biol. 50, 601–639 (1999).CAS
Article
Google Scholar
50.Morfopoulos, C. et al. A model of plant isoprene emission based on available reducing power captures responses to atmospheric CO2. New Phytol. 203, 125–139 (2014).CAS
PubMed
Article
PubMed Central
Google Scholar
51.Maseyk, K., Lin, T., Cochavi, A., Schwartz, A. & Yakir, D. Quantification of leaf-scale light energy allocation and photoprotection processes in a Mediterranean pine forest under extensive seasonal drought. Tree Physiol. 39, 1767–1782 (2019).CAS
PubMed
Article
PubMed Central
Google Scholar
52.Migliavacca, M. et al. Plant functional traits and canopy structure control the relationship between photosynthetic CO2 uptake and far-red sun-induced fluorescence in a Mediterranean grassland under different nutrient availability. New Phytol. 214, 1078–1091 (2017).CAS
PubMed
Article
PubMed Central
Google Scholar
53.Kallel, A. FluLCVRT: Reflectance and fluorescence of leaf and canopy modeling based on Monte Carlo vector radiative transfer simulation. J. Quant. Spectrosc. Radiat. Transf. 253, 107183 (2020).CAS
Article
Google Scholar
54.Sabater, N. et al. Compensation of oxygen transmittance effects for proximal sensing retrieval of canopy–leaving sun–induced chlorophyll fluorescence. Remote Sens. 10, 1551 (2018).Article
Google Scholar
55.Sabater, N., Kolmonen, P., Van Wittenberghe, S., Arola, A. & Moreno, J. Challenges in the atmospheric characterization for the retrieval of spectrally resolved fluorescence and PRI region dynamics from space. Remote Sens. Environ. 254, 112226 (2021).Article
Google Scholar
56.Iermak, I., Vink, J., Bader, A. N., Wientjes, E. & van Amerongen, H. Visualizing heterogeneity of photosynthetic properties of plant leaves with two-photon fluorescence lifetime imaging microscopy. Biochim. Biophys. Acta 1857, 1473–1478 (2016).CAS
PubMed
Article
PubMed Central
Google Scholar
57.Romero, J. M., Cordon, G. B. & Lagorio, M. G. Modeling re-absorption of fluorescence from the leaf to the canopy level. Remote Sens. Environ. 204, 138–146 (2018).Article
Google Scholar
58.Magney, T. S. et al. Disentangling changes in the spectral shape of chlorophyll fluorescence: Implications for remote sensing of photosynthesis. J. Geophys. Res. 124, 1491–1507 (2019).Article
Google Scholar
59.Murchie, E. H. et al. Measuring the dynamic photosynthome. Ann. Bot. 122, 207–220 (2018).CAS
PubMed
PubMed Central
Article
Google Scholar
60.Magney, T. S., Barnes, M. L. & Yang, X. On the covariation of chlorophyll fluorescence and photosynthesis across scales. Geophys. Res. Lett. 47, e2020GL091098 (2020).Article
Google Scholar
61.Yang, P., van der Tol, C., Campbell, P. K. & Middleton, E. M. Unraveling the physical and physiological basis for the solar-induced chlorophyll fluorescence and photosynthesis relationship using continuous leaf and canopy measurements of a corn crop. Biogeosciences 18, 441–465 (2021).CAS
Article
Google Scholar
62.Liu, X. et al. Downscaling of solar-induced chlorophyll fluorescence from canopy level to photosystem level using a random forest model. Remote Sens. Environ. 231, 110772 (2019).Article
Google Scholar
63.Joiner, J. et al. Systematic orbital geometry-dependent variations in satellite solar-induced fluorescence (SIF) retrievals. Remote Sens. 12, 2346 (2020).Article
Google Scholar
64.Dechant, B. et al. Canopy structure explains the relationship between photosynthesis and sun-induced chlorophyll fluorescence in crops. Remote Sens. Environ. 241, 111733 (2020).Article
Google Scholar
65.He, L. et al. From the ground to space: using solar-induced chlorophyll fluorescence to estimate crop productivity. Geophys. Res. Lett. 47, e2020GL087474 (2020).
Google Scholar
66.Ač, A. et al. Meta-analysis assessing potential of steady-state chlorophyll fluorescence for remote sensing detection of plant water, temperature and nitrogen stress. Remote Sens. Environ. 168, 420–436 (2015).Article
Google Scholar
67.Wohlfahrt, G. et al. Sun-induced fluorescence and gross primary productivity during a heat wave. Sci. Rep. 8, 14169 (2018).CAS
PubMed
PubMed Central
Article
Google Scholar
68.Van Wittenberghe, S., Alonso, L., Verrelst, J., Moreno, J. & Samson, R. Bidirectional sun-induced chlorophyll fluorescence emission is influenced by leaf structure and light scattering properties: A bottom-up approach. Remote Sens. Environ. 158, 169–179 (2015).Article
Google Scholar
69.Magney, T. S. et al. Connecting active to passive fluorescence with photosynthesis: A method for evaluating remote sensing measurements of Chl fluorescence. New Phytol. 215, 1594–1608 (2017).CAS
PubMed
Article
PubMed Central
Google Scholar
70.Rajewicz, P. A., Atherton, J., Alonso, L. & Porcar-Castell, A. Leaf-level spectral fluorescence measurements: comparing methodologies for broadleaves and needles. Remote Sens. 11, 532 (2019).Article
Google Scholar
71.Van Wittenberghe, S., Alonso, L., Malenovský, Z. & Moreno, J. In vivo photoprotection mechanisms observed from leaf spectral absorbance changes showing VIS–NIR slow-induced conformational pigment bed changes. Photosynth. Res. 142, 283–305 (2019).PubMed
PubMed Central
Article
CAS
Google Scholar
72.Meeker, E. W., Magney, T. S., Bambach, N., Momayyezi, M. & McElrone, A. J. Modification of a gas exchange system to measure active and passive chlorophyll fluorescence simultaneously under field conditions. AoB Plants 13, plaa066 (2021).PubMed
Article
PubMed Central
Google Scholar
73.Acebron, K. et al. Diurnal dynamics of nonphotochemical quenching in Arabidopsis npq mutants assessed by solar-induced fluorescence and reflectance measurements in the field. New Phytol. 229, 2104–2119 (2020).PubMed
Article
CAS
PubMed Central
Google Scholar
74.Malenovský, Z., Lucieer, A., King, D. H., Turnbull, J. D. & Robinson, S. A. Unmanned aircraft system advances health mapping of fragile polar vegetation. Methods Ecol. Evol. 8, 1842–1857 (2017).Article
Google Scholar
75.Atherton, J., Nichol, C. J. & Porcar-Castell, A. Using spectral chlorophyll fluorescence and the photochemical reflectance index to predict physiological dynamics. Remote Sens. Environ. 176, 17–30 (2016).Article
Google Scholar
76.Van Wittenberghe, S. et al. Combined dynamics of the 500–600 nm leaf absorption and chlorophyll fluorescence changes in vivo: evidence for the multifunctional energy quenching role of xanthophylls. Biochim. Biophys. Acta 1862, 148351 (2021).Article
CAS
Google Scholar
77.Gamon, J. A. et al. Remote sensing of the xanthophyll cycle and chlorophyll fluorescence in sunflower leaves and canopies. Oecologia 85, 1–7 (1990).CAS
PubMed
Article
PubMed Central
Google Scholar
78.Filella, I. et al. PRI assessment of long-term changes in carotenoids/chlorophyll ratio and short-term changes in de-epoxidation state of the xanthophyll cycle. Int. J. Remote Sens. 30, 4443–4455 (2009).Article
Google Scholar
79.Peñuelas, J., Filella, I. & Gamon, J. A. Assessment of photosynthetic radiation-use efficiency with spectral reflectance. New Phytol. 131, 291–296 (1995).Article
Google Scholar
80.Gamon, J. A. et al. A remotely sensed pigment index reveals photosynthetic phenology in evergreen conifers. Proc. Natl Acad. Sci. USA 113, 13087–13092 (2016).CAS
PubMed
PubMed Central
Article
Google Scholar
81.Costa, J. M., Grant, O. M. & Chaves, M. M. Thermography to explore plant-environment interactions. J. Exp. Bot. 64, 3937–3949 (2013).CAS
PubMed
Article
PubMed Central
Google Scholar
82.Konings, A. G., Rao, K. & Steele-Dunne, S. C. Macro to micro: microwave remote sensing of plant water content for physiology and ecology. New Phytol. 223, 1166–1172 (2019).PubMed
Article
PubMed Central
Google Scholar
83.Junttila, S. et al. Terrestrial laser scanning intensity captures diurnal variation in leaf water potential. Remote Sens. Environ. 255, 112274 (2021).Article
Google Scholar
84.Whelan, M. E. Two scientific communities striving for a common cause: innovations in carbon cycle science. Bull. Am. Meteorol. Soc. 101, E1537–1543 (2020).Article
Google Scholar
85.Farquhar, G. D., von Caemmerer, S. V. & Berry, J. A. A biochemical model of photosynthetic CO2 assimilation in leaves of C3 species. Planta 149, 78–90 (1980).CAS
PubMed
Article
PubMed Central
Google Scholar
86.Bacour, C. et al. Improving estimates of gross primary productivity by assimilating solar-induced fluorescence satellite retrievals in a terrestrial biosphere model using a process-based SIF model. J. Geophys. Res. 124, 3281–3306 (2019).Article
Google Scholar
87.Norton, A. J. et al. Estimating global gross primary productivity using chlorophyll fluorescence and a data assimilation system with the BETHY-SCOPE model. Biogeosciences 16, 3069–3093 (2019).CAS
Article
Google Scholar
88.Thum, T. et al. Modelling sun-induced fluorescence and photosynthesis with a land surface model at local and regional scales in northern Europe. Biogeosciences 14, 1969–1987 (2017).CAS
Article
Google Scholar
89.Qiu, B., Chen, J. M., Ju, W., Zhang, Q. & Zhang, Y. Simulating emission and scattering of solar-induced chlorophyll fluorescence at far-red band in global vegetation with different canopy structures. Remote Sens. Environ. 233, 111373 (2019).Article
Google Scholar
90.Johnson, J. E. & Berry, J. A. The role of Cytochrome b6f in the control of steady-state photosynthesis: a conceptual and quantitative model. Photosynth. Res. https://doi.org/10.1007/s11120-021-00840-4 (2021).91.Janoutová, R. et al. Influence of 3D spruce tree representation on accuracy of airborne and satellite forest reflectance simulated in DART. Forests 10, 292 (2019).Article
Google Scholar
92.Liu, W. et al. Simulating solar-induced chlorophyll fluorescence in a boreal forest stand reconstructed from terrestrial laser scanning measurements. Remote Sens. Environ. 232, 111274 (2019).Article
Google Scholar
93.Pinto, F. et al. Sun-induced chlorophyll fluorescence from high-resolution imaging spectroscopy data to quantify spatio-temporal patterns of photosynthetic function in crop canopies. Plant Cell Environ. 39, 1500–1512 (2016).CAS
PubMed
Article
PubMed Central
Google Scholar
94.Siegmann, B. et al. The high-performance airborne imaging spectrometer HyPlant—From raw images to top-of-canopy reflectance and fluorescence products: Introduction of an automatized processing chain. Remote Sens. 11, 2760 (2019).Article
Google Scholar
95.Yang, P., van der Tol, C., Campbell, P. K. & Middleton, E. M. Fluorescence Correction Vegetation Index (FCVI): A physically based reflectance index to separate physiological and non-physiological information in far-red sun-induced chlorophyll fluorescence. Remote Sens. Environ. 240, 111676 (2020).Article
Google Scholar
96.Zeng, Y. et al. A radiative transfer model for solar induced fluorescence using spectral invariants theory. Remote Sens. Environ. 240, 111678 (2020).Article
Google Scholar
97.Green, J. K. et al. Large influence of soil moisture on long-term terrestrial carbon uptake. Nature 565, 476–479 (2019).CAS
PubMed
PubMed Central
Article
Google Scholar
98.Wang, S. et al. Urban–rural gradients reveal joint control of elevated CO2 and temperature on extended photosynthetic seasons. Nat. Ecol. Evol. 3, 1076–1085 (2019).PubMed
Article
PubMed Central
Google Scholar
99.Long, S. P., Farage, P. K. & Garcia, R. L. Measurement of leaf and canopy photosynthetic CO2 exchange in the field. J. Exp. Bot. 47, 1629–1642 (1996).CAS
Article
Google Scholar
100.Baldocchi, D. D. Assessing the eddy covariance technique for evaluating carbon dioxide exchange rates of ecosystems: past, present and future. Glob. Change Biol. 9, 479–492 (2003).Article
Google Scholar
101.Kaiser, Y. I., Menegat, A. & Gerhards, R. Chlorophyll fluorescence imaging: a new method for rapid detection of herbicide resistance in Alopecurus myosuroides. Weed Res. 53, 399–406 (2013).CAS
Article
Google Scholar
102.Sievänen, R., Godin, C., DeJong, T. M. & Nikinmaa, E. Functional–structural plant models: a growing paradigm for plant studies. Ann. Bot. 114, 599–603 (2014).PubMed
PubMed Central
Article
Google Scholar
103.Damm, A., Paul-Limoges, E., Kükenbrink, D., Bachofen, C. & Morsdorf, F. Remote sensing of forest gas exchange: considerations derived from a tomographic perspective. Glob. Change Biol. 26, 2717–2727 (2020).Article
Google Scholar
104.Ensminger, I. Fast track diagnostics: Hyperspectral reflectance differentiates disease from drought stress in trees. Tree Physiol. 40, 1143–1146 (2020).PubMed
Article
PubMed Central
Google Scholar
105.Mutka, A. M. & Bart, R. S. Image-based phenotyping of plant disease symptoms. Front. Plant Sci. 5, 734 (2015).PubMed
PubMed Central
Article
Google Scholar
106.Zarco-Tejada, P. J. et al. Previsual symptoms of Xylella fastidiosa infection revealed in spectral plant-trait alterations. Nat. Plants 4, 432–439 (2018).CAS
PubMed
Article
PubMed Central
Google Scholar
107.Dı́az, S. & Cabido, M. Vive la différence: plant functional diversity matters to ecosystem processes. Trends Ecol. Evol. 16, 646–655 (2001).Article
Google Scholar
108.Skidmore, A. K. et al. Environmental science: Agree on biodiversity metrics to track from space. Nature 523, 403–405 (2015).CAS
PubMed
Article
PubMed Central
Google Scholar
109.Tagliabue, G. et al. Sun–induced fluorescence heterogeneity as a measure of functional diversity. Remote Sens. Environ. 247, 111934 (2020).Article
Google Scholar
110.Pacheco-Labrador, J. et al. Multiple-constraint inversion of SCOPE. Evaluating the potential of GPP and SIF for the retrieval of plant functional traits. Remote Sens. Environ. 234, 111362 (2019).Article
Google Scholar
111.Smith, W. K. et al. Remote sensing of dryland ecosystem structure and function: progress, challenges, and opportunities. Remote Sens. Environ. 233, 111401 (2019).Article
Google Scholar
112.Kellner, J. R., Albert, L. P., Burley, J. T. & Cushman, K. C. The case for remote sensing of individual plants. Am. J. Bot. 106, 1139–1142 (2019).PubMed
Article
PubMed Central
Google Scholar
113.Flexas, J. et al. Steady-state chlorophyll fluorescence (Fs) measurements as a tool to follow variations of net CO2 assimilation and stomatal conductance during water-stress in C3 plants. Physiol. Plant. 114, 231–240 (2002).CAS
PubMed
Article
PubMed Central
Google Scholar
114.Marrs, J. K. et al. Solar-induced fluorescence does not track photosynthetic carbon assimilation following induced stomatal closure. Geophys. Res. Lett. 47, e2020GL087956 (2020).CAS
Article
Google Scholar
115.Maes, W. H. et al. Sun-induced fluorescence closely linked to ecosystem transpiration as evidenced by satellite data and radiative transfer models. Remote Sens. Environ. 249, 112030 (2020).Article
Google Scholar
116.Shan, N. et al. A model for estimating transpiration from remotely sensed solar-induced chlorophyll fluorescence. Remote Sens. Environ. 252, 112134 (2021).Article
Google Scholar
117.Wang, X. et al. Globally consistent patterns of asynchrony in vegetation phenology derived from optical, microwave, and fluorescence satellite data. J. Geophys. Res. Biogeosci. 125, e2020JG005732 (2020).
Google Scholar
118.Liu, J. et al. Contrasting carbon cycle responses of the tropical continents to the 2015-2016 El Niño. Science 358, eaam5690 (2017).PubMed
Article
CAS
PubMed Central
Google Scholar
119.Albert, L. P. et al. Stray light characterization in a high-resolution imaging spectrometer designed for solar-induced fluorescence. In Proc. SPIE 10986, Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imagery XXV (eds Velez-Reyes, M. & Messinger, D. W.) 109860G (SPIE, 2019).120.Meroni, M. et al. Remote sensing of solar-induced chlorophyll fluorescence: Review of methods and applications. Remote Sens. Environ. 113, 2037–2051 (2009).Article
Google Scholar
121.Cendrero-Mateo, M. P. et al. Sun-induced chlorophyll fluorescence III: Benchmarking retrieval methods and sensor characteristics for proximal sensing. Remote Sens. 11, 962 (2019).Article
Google Scholar
122.Vilfan, N. et al. Extending Fluspect to simulate xanthophyll driven leaf reflectance dynamics. Remote Sens. Environ. 211, 345–356 (2018).Article
Google Scholar
123.Yang, P., Prikaziuk, E., Verhoef, W. & van der Tol, C. SCOPE 2.0: A model to simulate vegetated land surface fluxes and satellite signals. Geosci. Model Dev. Discuss. https://doi.org/10.5194/gmd-2020-251 (2020).124.Gastellu-Etchegorry, J. et al. DART: recent advances in remote sensing data modeling with atmosphere, polarization, and chlorophyll fluorescence. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 10, 2640–2649 (2017).Article
Google Scholar More