Reduction of structural impacts and distinction of photosynthetic pathways in a global estimation of GPP from space-borne solar-induced chlorophyll fluorescence

[1]  R. Leegood.  C 4 Photosynthesis , 2021, eLS.

[2]  L. Guanter,et al.  From Canopy‐Leaving to Total Canopy Far‐Red Fluorescence Emission for Remote Sensing of Photosynthesis: First Results From TROPOMI , 2019, Geophysical Research Letters.

[3]  Xing Li,et al.  Mapping Photosynthesis Solely from Solar-Induced Chlorophyll Fluorescence: A Global, Fine-Resolution Dataset of Gross Primary Production Derived from OCO-2 , 2019, Remote. Sens..

[4]  W. Verhoef,et al.  Remote sensing of solar-induced chlorophyll fluorescence (SIF) in vegetation: 50 years of progress. , 2019, Remote sensing of environment.

[5]  A. Viña,et al.  Derivation of canopy light absorption coefficient from reflectance spectra , 2019, Remote Sensing of Environment.

[6]  L. Guanter,et al.  Downscaling of solar-induced chlorophyll fluorescence from canopy level to photosystem level using a random forest model , 2019, Remote Sensing of Environment.

[7]  L. Gu,et al.  Sun-induced Chl fluorescence and its importance for biophysical modeling of photosynthesis based on light reactions. , 2019, The New phytologist.

[8]  Y. Ryu,et al.  A practical approach for estimating the escape ratio of near-infrared solar-induced chlorophyll fluorescence , 2019, Remote Sensing of Environment.

[9]  B. Poulter,et al.  Maximum carbon uptake rate dominates the interannual variability of global net ecosystem exchange , 2019, Global change biology.

[10]  Pierre Gentine,et al.  Exploring the Potential of Satellite Solar-Induced Fluorescence to Constrain Global Transpiration Estimates , 2019, Remote. Sens..

[11]  M. E. Schaepman,et al.  Assessing Vegetation Function with Imaging Spectroscopy , 2019, Surveys in Geophysics.

[12]  A. Gitelson,et al.  Convergence of daily light use efficiency in irrigated and rainfed C3 and C4 crops , 2018, Remote Sensing of Environment.

[13]  Javier Pacheco-Labrador,et al.  Drivers of spatio-temporal variability of carbon dioxide and energy fluxes in a Mediterranean savanna ecosystem , 2018, Agricultural and Forest Meteorology.

[14]  J. Landgraf,et al.  Global Retrievals of Solar‐Induced Chlorophyll Fluorescence With TROPOMI: First Results and Intersensor Comparison to OCO‐2 , 2018, Geophysical research letters.

[15]  J. Berry,et al.  Sun-induced chlorophyll fluorescence is more strongly related to absorbed light than to photosynthesis at half-hourly resolution in a rice paddy , 2018, Remote Sensing of Environment.

[16]  M. Migliavacca,et al.  Angle matters: Bidirectional effects impact the slope of relationship between gross primary productivity and sun‐induced chlorophyll fluorescence from Orbiting Carbon Observatory‐2 across biomes , 2018, Global change biology.

[17]  Yao Zhang,et al.  Estimation of Terrestrial Global Gross Primary Production (GPP) with Satellite Data-Driven Models and Eddy Covariance Flux Data , 2018, Remote. Sens..

[18]  Yao Zhang,et al.  FluoSpec 2—An Automated Field Spectroscopy System to Monitor Canopy Solar-Induced Fluorescence , 2018, Sensors.

[19]  I. Mammarella,et al.  Solar‐induced chlorophyll fluorescence is strongly correlated with terrestrial photosynthesis for a wide variety of biomes: First global analysis based on OCO‐2 and flux tower observations , 2018, Global change biology.

[20]  L. Guanter,et al.  Spatially-explicit monitoring of crop photosynthetic capacity through the use of space-based chlorophyll fluorescence data , 2018, Remote Sensing of Environment.

[21]  C. Frankenberg,et al.  Overview of Solar-Induced chlorophyll Fluorescence (SIF) from the Orbiting Carbon Observatory-2: Retrieval, cross-mission comparison, and global monitoring for GPP , 2018 .

[22]  C. Tol,et al.  Linking canopy scattering of far-red sun-induced chlorophyll fluorescence with reflectance. , 2018 .

[23]  Jianwu Tang,et al.  Opportunities and challenges of applications of satellite-derived sun-induced fluorescence at relatively high spatial resolution. , 2018, The Science of the total environment.

[24]  L. Guanter,et al.  On the relationship between sub-daily instantaneous and daily total gross primary production: Implications for interpreting satellite-based SIF retrievals , 2018 .

[25]  J. Berry,et al.  Sun‐Induced Chlorophyll Fluorescence, Photosynthesis, and Light Use Efficiency of a Soybean Field from Seasonally Continuous Measurements , 2018 .

[26]  F. Maignan,et al.  Strong constraint on modelled global carbon uptake using solar-induced chlorophyll fluorescence data , 2018, Scientific Reports.

[27]  Jinwei Dong,et al.  A global moderate resolution dataset of gross primary production of vegetation for 2000–2016 , 2017, Scientific Data.

[28]  C. Frankenberg,et al.  OCO-2 advances photosynthesis observation from space via solar-induced chlorophyll fluorescence , 2017, Science.

[29]  Miina Rautiainen,et al.  A spectral analysis of 25 boreal tree species , 2017 .

[30]  O. Sonnentag,et al.  Direct and indirect climate change effects on carbon dioxide fluxes in a thawing boreal forest–wetland landscape , 2017, Global change biology.

[31]  Jing M. Chen,et al.  Angular normalization of GOME‐2 Sun‐induced chlorophyll fluorescence observation as a better proxy of vegetation productivity , 2017 .

[32]  Tiana W. Hammer,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. , 2017, The New phytologist.

[33]  Jesse W. Campbell,et al.  Large historical growth in global terrestrial gross primary production , 2017, Nature.

[34]  C. Frankenberg,et al.  Effect of environmental conditions on the relationship between solar‐induced fluorescence and gross primary productivity at an OzFlux grassland site , 2017 .

[35]  C. Field,et al.  Canopy near-infrared reflectance and terrestrial photosynthesis , 2017, Science Advances.

[36]  Wout Verhoef,et al.  The FLuorescence EXplorer Mission Concept—ESA’s Earth Explorer 8 , 2017, IEEE Transactions on Geoscience and Remote Sensing.

[37]  Marko Scholze,et al.  Assimilating solar-induced chlorophyll fluorescence into the terrestrial biosphere model BETHY-SCOPE v1.0: Model description and information content , 2017 .

[38]  Fabrice Daumard,et al.  Gross Primary Production of a Wheat Canopy Relates Stronger to Far Red Than to Red Solar-Induced Chlorophyll Fluorescence , 2017, Remote. Sens..

[39]  C. Frankenberg,et al.  Multiscale analyses of solar‐induced florescence and gross primary production , 2017 .

[40]  L. Guanter,et al.  Model-based analysis of the relationship between sun-induced chlorophyll fluorescence and gross primary production for remote sensing applications , 2016 .

[41]  Jeffrey P. Walker,et al.  An introduction to the Australian and New Zealand flux tower network - OzFlux , 2016 .

[42]  Markus Reichstein,et al.  Predicting carbon dioxide and energy fluxes across global FLUXNET sites with regression algorithms , 2016 .

[43]  S. Seneviratne,et al.  Constraining future terrestrial carbon cycle projections using observation‐based water and carbon flux estimates , 2016, Global change biology.

[44]  J. Canadell,et al.  Greening of the Earth and its drivers , 2016 .

[45]  Natalia Restrepo Coupe,et al.  Productivity and evapotranspiration of two contrasting semiarid ecosystems following the 2011 global carbon land sink anomaly , 2016 .

[46]  Steven W. Running,et al.  Large divergence of satellite and Earth system model estimates of global terrestrial CO2 fertilization , 2016 .

[47]  R. Colombo,et al.  Sun‐induced fluorescence – a new probe of photosynthesis: First maps from the imaging spectrometer HyPlant , 2015, Global change biology.

[48]  C. Frankenberg,et al.  Simulations of chlorophyll fluorescence incorporated into the Community Land Model version 4 , 2015, Global change biology.

[49]  P. Ciais,et al.  Spatiotemporal patterns of terrestrial gross primary production: A review , 2015 .

[50]  M. Schaepman,et al.  Far-red sun-induced chlorophyll fluorescence shows ecosystem-specific relationships to gross primary production: An assessment based on observational and modeling approaches , 2015 .

[51]  C. Frankenberg,et al.  Investigating the usefulness of satellite-derived fluorescence data in inferring gross primary productivity within the carbon cycle data assimilation system , 2015 .

[52]  M. Rossini,et al.  Solar‐induced chlorophyll fluorescence that correlates with canopy photosynthesis on diurnal and seasonal scales in a temperate deciduous forest , 2015 .

[53]  Ranga B. Myneni,et al.  Recent trends and drivers of regional sources and sinks of carbon dioxide , 2015 .

[54]  A. Huete,et al.  Estimation of vegetation photosynthetic capacity from space‐based measurements of chlorophyll fluorescence for terrestrial biosphere models , 2014, Global change biology.

[55]  J. Berry,et al.  Models of fluorescence and photosynthesis for interpreting measurements of solar-induced chlorophyll fluorescence , 2014, Journal of geophysical research. Biogeosciences.

[56]  P. Hari,et al.  CO2-induced terrestrial climate feedback mechanism: From carbon sink to aerosol source and back , 2014 .

[57]  C. Frankenberg,et al.  Linking chlorophyll a fluorescence to photosynthesis for remote sensing applications: mechanisms and challenges. , 2014, Journal of experimental botany.

[58]  W. Massman,et al.  Ecosystem CO2/H2O fluxes are explained by hydraulically limited gas exchange during tree mortality from spruce bark beetles , 2014 .

[59]  C. Frankenberg,et al.  Prospects for Chlorophyll Fluorescence Remote Sensing from the Orbiting Carbon Observatory-2 , 2014 .

[60]  M. S. Moran,et al.  Global and time-resolved monitoring of crop photosynthesis with chlorophyll fluorescence , 2014, Proceedings of the National Academy of Sciences.

[61]  Pierre Friedlingstein,et al.  Uncertainties in CMIP5 Climate Projections due to Carbon Cycle Feedbacks , 2014 .

[62]  C. Frankenberg,et al.  Global monitoring of terrestrial chlorophyll fluorescence from moderate-spectral-resolution near-infrared satellite measurements: methodology, simulations, and application to GOME-2 , 2013 .

[63]  E. Kellogg.  C4 photosynthesis , 2013, Current Biology.

[64]  P. Cook,et al.  Dynamics of component carbon fluxes in a semi‐arid Acacia woodland, central Australia , 2013 .

[65]  Philip Lewis,et al.  Hyperspectral remote sensing of foliar nitrogen content , 2012, Proceedings of the National Academy of Sciences.

[66]  Philip Lewis,et al.  Retrieval and global assessment of terrestrial chlorophyll fluorescence from GOSAT space measurements , 2012 .

[67]  A. Strahler,et al.  Global clumping index map derived from the MODIS BRDF product , 2012 .

[68]  A. Arneth,et al.  Global patterns of land-atmosphere fluxes of carbon dioxide, latent heat, and sensible heat derived from eddy covariance, satellite, and meteorological observations , 2011 .

[69]  C. Frankenberg,et al.  New global observations of the terrestrial carbon cycle from GOSAT: Patterns of plant fluorescence with gross primary productivity , 2011, Geophysical Research Letters.

[70]  F. Woodward,et al.  Terrestrial Gross Carbon Dioxide Uptake: Global Distribution and Covariation with Climate , 2010, Science.

[71]  Fabrice Daumard,et al.  A Field Platform for Continuous Measurement of Canopy Fluorescence , 2010, IEEE Transactions on Geoscience and Remote Sensing.

[72]  Damien Sulla-Menashe,et al.  MODIS Collection 5 global land cover: Algorithm refinements and characterization of new datasets , 2010 .

[73]  A. Arneth,et al.  Terrestrial biogeochemical feedbacks in the climate system , 2010 .

[74]  G. D. Jenerette,et al.  Effects of seasonal drought on net carbon dioxide exchange from a woody-plant-encroached semiarid grassland , 2009 .

[75]  Jiquan Chen,et al.  Energy balance and partition in Inner Mongolia steppe ecosystems with different land use types , 2009 .

[76]  Luis Alonso,et al.  Remote sensing of solar-induced chlorophyll fluorescence: Review of methods and applications , 2009 .

[77]  Andrej Varlagin,et al.  Modeling carbon dynamics in two adjacent spruce forests with different soil conditions in Russia , 2008 .

[78]  O. Ghannoum,et al.  C4 photosynthesis and water stress. , 2008, Annals of botany.

[79]  R. Sage,et al.  The temperature response of C(3) and C(4) photosynthesis. , 2007, Plant, cell & environment.

[80]  S. Wofsy,et al.  Factors controlling CO2 exchange on timescales from hourly to decadal at Harvard Forest , 2007 .

[81]  Zhilin Zhu,et al.  Carbon dioxide exchange and the mechanism of environmental control in a farmland ecosystem in North China Plain , 2006 .

[82]  Marc Aubinet,et al.  Annual net ecosystem carbon exchange by a sugar beet crop , 2006 .

[83]  R. Schnur,et al.  Climate-carbon cycle feedback analysis: Results from the C , 2006 .

[84]  M. Lagorio,et al.  A model considering light reabsorption processes to correct in vivo chlorophyll fluorescence spectra in apples , 2006, Photochemical & photobiological sciences : Official journal of the European Photochemistry Association and the European Society for Photobiology.

[85]  J. Chen,et al.  Global mapping of foliage clumping index using multi-angular satellite data , 2005 .

[86]  T. Vesala,et al.  On the separation of net ecosystem exchange into assimilation and ecosystem respiration: review and improved algorithm , 2005 .

[87]  A. Viña,et al.  Remote estimation of canopy chlorophyll content in crops , 2005 .

[88]  John M. Baker,et al.  Examining strategies to improve the carbon balance of corn/soybean agriculture using eddy covariance and mass balance techniques , 2005 .

[89]  P. Stenberg,et al.  Simple parameterizations of the radiation budget of uniform broadleaved and coniferous canopies , 2005 .

[90]  K. Davis,et al.  Comparing net ecosystem exchange of carbon dioxide between an old-growth and mature forest in the upper Midwest, USA , 2005 .

[91]  John R. Miller,et al.  Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: Modeling and validation in the context of precision agriculture , 2004 .

[92]  Pasi Aalto,et al.  Atmospheric Chemistry and Physics a New Feedback Mechanism Linking Forests, Aerosols, and Climate , 2004 .

[93]  R. DeFries,et al.  Global distribution of C3 and C4 vegetation: Carbon cycle implications , 2003 .

[94]  N. C. Strugnell,et al.  First operational BRDF, albedo nadir reflectance products from MODIS , 2002 .

[95]  C. Gueymard.  Parameterized transmittance model for direct beam and circumsolar spectral irradiance , 2001 .

[96]  Sylvain G. Leblanc,et al.  Multiple-scattering scheme useful for geometric optical modeling , 2001, IEEE Trans. Geosci. Remote. Sens..

[97]  Jing M. Chen,et al.  Daily canopy photosynthesis model through temporal and spatial scaling for remote sensing applications , 1999 .

[98]  S. Running,et al.  Synergistic algorithm for estimating vegetation canopy leaf area index and fraction of absorbed photosynthetically active , 1998 .

[99]  J. Chen,et al.  A process-based boreal ecosystem productivity simulator using remote sensing inputs , 1997 .

[100]  G. Edwards,et al.  Relationship between photosystem II activity and CO2 fixation in leaves , 1992 .

[101]  J. Briantais,et al.  The relationship between the quantum yield of photosynthetic electron transport and quenching of chlorophyll fluorescence , 1989 .

[102]  J. Monteith.  SOLAR RADIATION AND PRODUCTIVITY IN TROPICAL ECOSYSTEMS , 1972 .

[103]  Xi Yang,et al.  Solar-induced chlorophyll fluorescence and its link to canopy photosynthesis in maize from continuous ground measurements , 2020, Remote Sensing of Environment.

[104]  B. He,et al.  Chlorophyll fluorescence observed by OCO-2 is strongly related to gross primary productivity estimated from flux towers in temperate forests , 2018 .

[105]  M. Lagorio,et al.  Modeling re-absorption of fluorescence from the leaf to the canopy level , 2018 .

[106]  Miikka Dal Maso,et al.  Long-term measurements of surface fluxes above a Scots pine forest in Hyytiälä, southern Finland, 1996-2001 , 2003 .

[107]  P. Hari,et al.  Atmospheric trace gas and aerosol particle concentration measurements in Eastern Lapland, Finland 1992-2001 , 2003 .

[108]  Hartmut K. Lichtenthaler,et al.  Leaf chlorophyll fluorescence corrected for re-absorption by means of absorption and reflectance measurements , 1998 .

[109]  G. Collatz,et al.  Coupled Photosynthesis-Stomatal Conductance Model for Leaves of C4 Plants , 1992 .

[110]  G. Krause,et al.  Chlorophyll Fluorescence and Photosynthesis: The Basics , 1991 .

[111]  Stephen P. Long,et al.  Photosynthesis — is it limiting to biomass production? , 1985 .

[112]  J. Ehleringer,et al.  Comparative ecophysiology of C3 and C4 plants , 1984 .

[113]  James R. Ehleringer,et al.  Quantum Yields for CO2 Uptake in C3 and C4 Plants: Dependence on Temperature, CO2, and O2 Concentration , 1977 .