Comparison of total emitted solar-induced chlorophyll fluorescence (SIF) and top-of-canopy (TOC) SIF in estimating photosynthesis
暂无分享,去创建一个
[1] N. Goel. Models of vegetation canopy reflectance and their use in estimation of biophysical parameters from reflectance data , 1988 .
[2] T. Black,et al. Foliage area and architecture of plant canopies from sunfleck size distributions , 1992 .
[3] W. Verhoef. Theory of radiative transfer models applied in optical remote sensing of vegetation canopies , 1998 .
[4] T. A. Black,et al. Responses of net ecosystem exchanges of carbon dioxide to changes in cloudiness: Results from two North American deciduous forests , 1999 .
[5] T. Hsiao,et al. Some characteristics of reduced leaf photosynthesis at midday in maize growing in the field , 1999 .
[6] N. C. Strugnell,et al. First operational BRDF, albedo nadir reflectance products from MODIS , 2002 .
[7] F. Maignan,et al. Bidirectional reflectance of Earth targets: evaluation of analytical models using a large set of spaceborne measurements with emphasis on the Hot Spot , 2004 .
[8] J. Dash,et al. The MERIS terrestrial chlorophyll index , 2004 .
[9] J. Chen,et al. Global mapping of foliage clumping index using multi-angular satellite data , 2005 .
[10] P. Stenberg,et al. Simple parameterizations of the radiation budget of uniform broadleaved and coniferous canopies , 2005 .
[11] R. Lacaze,et al. Canada-wide foliage clumping index mapping from multiangular POLDER measurements , 2005 .
[12] M. Monsi,et al. On the factor light in plant communities and its importance for matter production. 1953. , 2004, Annals of botany.
[13] Zhao-Liang Li,et al. Comparison of leaf angle distribution functions: Effects on extinction coefficient and fraction of sunlit foliage , 2007 .
[14] Philip Lewis,et al. Canopy spectral invariants for remote sensing and model applications , 2007 .
[15] P. Stenberg. Simple analytical formula for calculating average photon recollision probability in vegetation canopies , 2007 .
[16] Roberta E. Martin,et al. PROSPECT-4 and 5: Advances in the leaf optical properties model separating photosynthetic pigments , 2008 .
[17] Q. Zhuang,et al. Equifinality in parameterization of process‐based biogeochemistry models: A significant uncertainty source to the estimation of regional carbon dynamics , 2008 .
[18] W. Verhoef,et al. An integrated model of soil-canopy spectral radiances, photosynthesis, fluorescence, temperature and energy balance , 2009 .
[19] Luis Alonso,et al. Remote sensing of solar-induced chlorophyll fluorescence: Review of methods and applications , 2009 .
[20] J. Moreno,et al. Remote sensing of sun‐induced fluorescence to improve modeling of diurnal courses of gross primary production (GPP) , 2010 .
[21] W. Verhoef,et al. Performance of spectral fitting methods for vegetation fluorescence quantification , 2010 .
[22] E. Middleton,et al. First observations of global and seasonal terrestrial chlorophyll fluorescence from space , 2010 .
[23] 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.
[24] Philip Lewis,et al. Hyperspectral remote sensing of foliar nitrogen content , 2012, Proceedings of the National Academy of Sciences.
[25] Liangyun Liu,et al. A Method to Reconstruct the Solar-Induced Canopy Fluorescence Spectrum from Hyperspectral Measurements , 2014, Remote. Sens..
[26] C. Frankenberg,et al. Linking chlorophyll a fluorescence to photosynthesis for remote sensing applications: mechanisms and challenges. , 2014, Journal of experimental botany.
[27] M. S. Moran,et al. Global and time-resolved monitoring of crop photosynthesis with chlorophyll fluorescence , 2014, Proceedings of the National Academy of Sciences.
[28] C. Tucker,et al. The 2010 Russian drought impact on satellite measurements of solar-induced chlorophyll fluorescence: Insights from modeling and comparisons with parameters derived from satellite reflectances , 2015 .
[29] W. Verhoef,et al. Simulated impact of sensor field of view and distance on field measurements of bidirectional reflectance factors for row crops , 2015 .
[30] J. Pisek,et al. Variations of leaf inclination angle distribution with height over the growing season and light exposure for eight broadleaf tree species , 2015 .
[31] M. Rossini,et al. Solar‐induced chlorophyll fluorescence that correlates with canopy photosynthesis on diurnal and seasonal scales in a temperate deciduous forest , 2015 .
[32] R. Samson,et al. Bidirectional sun-induced chlorophyll fluorescence emission is influenced by leaf structure and light scattering properties — A bottom-up approach , 2015 .
[33] J. Moreno,et al. Global sensitivity analysis of the SCOPE model: What drives simulated canopy-leaving sun-induced fluorescence? , 2015 .
[34] Bing Zhang,et al. Measurement and Analysis of Bidirectional SIF Emissions in Wheat Canopies , 2016, IEEE Transactions on Geoscience and Remote Sensing.
[35] M. Rautiainen,et al. Photon recollision probability in modelling the radiation regime of canopies: A review , 2016 .
[36] H. Fang,et al. Estimation of canopy clumping index from MISR and MODIS sensors using the normalized difference hotspot and darkspot (NDHD) method: The influence of BRDF models and solar zenith angle , 2016 .
[37] L. Guanter,et al. Assessing the potential of sun-induced fluorescence and the canopy scattering coefficient to track large-scale vegetation dynamics in Amazon forests , 2016 .
[38] W. Verhoef,et al. FluorWPS: A Monte Carlo ray-tracing model to compute sun-induced chlorophyll fluorescence of three-dimensional canopy , 2016 .
[39] W. Verhoef,et al. A model and measurement comparison of diurnal cycles of sun-induced chlorophyll fluorescence of crops , 2016 .
[40] K. Zhao,et al. Seasonal variability of multiple leaf traits captured by leaf spectroscopy at two temperate deciduous forests. , 2016 .
[41] Xiaoliang Lu,et al. Enhanced water use efficiency in global terrestrial ecosystems under increasing aerosol loadings , 2017 .
[42] Xiaoliang Lu,et al. Chlorophyll fluorescence tracks seasonal variations of photosynthesis from leaf to canopy in a temperate forest , 2017, Global change biology.
[43] M. Rautiainen,et al. Estimation of leaf area index and its sunlit portion from DSCOVR EPIC data: Theoretical basis. , 2017, Remote sensing of environment.
[44] Jing M. Chen,et al. Angular normalization of GOME‐2 Sun‐induced chlorophyll fluorescence observation as a better proxy of vegetation productivity , 2017 .
[45] Liangyun Liu,et al. Directly estimating diurnal changes in GPP for C3 and C4 crops using far-red sun-induced chlorophyll fluorescence , 2017 .
[46] Jianwu Tang,et al. Seasonal variations of leaf and canopy properties tracked by ground-based NDVI imagery in a temperate forest , 2017, Scientific Reports.
[47] C. Field,et al. Canopy near-infrared reflectance and terrestrial photosynthesis , 2017, Science Advances.
[48] 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.
[49] W. Verhoef,et al. Reconstruction of the full spectrum of solar-induced chlorophyll fluorescence: Intercomparison study for a novel method , 2018, Remote Sensing of Environment.
[50] M. Rossini,et al. Exploring the physiological information of Sun-induced chlorophyll fluorescence through radiative transfer model inversion , 2018, Remote Sensing of Environment.
[51] 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.
[52] C. Tol,et al. Linking canopy scattering of far-red sun-induced chlorophyll fluorescence with reflectance. , 2018 .
[53] W. Verhoef,et al. Hyperspectral radiative transfer modeling to explore the combined retrieval of biophysical parameters and canopy fluorescence from FLEX – Sentinel-3 tandem mission multi-sensor data , 2018 .
[54] Xiaoliang Lu,et al. Potential of solar-induced chlorophyll fluorescence to estimate transpiration in a temperate forest , 2018 .
[55] M. Rossini,et al. Variability of sun‐induced chlorophyll fluorescence according to stand age‐related processes in a managed loblolly pine forest , 2018, Global change biology.
[56] Liangyun Liu,et al. Evaluating the Performance of the SCOPE Model in Simulating Canopy Solar-Induced Chlorophyll Fluorescence , 2018, Remote. Sens..
[57] 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.
[58] W. Verhoef,et al. Remote sensing of solar-induced chlorophyll fluorescence (SIF) in vegetation: 50 years of progress. , 2019, Remote sensing of environment.
[59] Y. Ryu,et al. A practical approach for estimating the escape ratio of near-infrared solar-induced chlorophyll fluorescence , 2019, Remote Sensing of Environment.
[60] W. Verhoef,et al. Using reflectance to explain vegetation biochemical and structural effects on sun-induced chlorophyll fluorescence , 2019, Remote Sensing of Environment.
[61] C. Tol,et al. The scattering and re-absorption of red and near-infrared chlorophyll fluorescence in the models Fluspect and SCOPE , 2019, Remote Sensing of Environment.