Estimating light absorption by chlorophyll, leaf and canopy in a deciduous broadleaf forest using MODIS data and a radiative transfer model
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[1] B O B B,et al. Estimating diurnal to annual ecosystem parameters by synthesis of a carbon flux model with eddy covariance net ecosystem exchange observations , 2005 .
[2] F. Baret,et al. Effect of senescent leaves on NDVI-based estimates of fAPAR: Experimental and modelling evidences , 2004 .
[3] Maosheng Zhao,et al. A Continuous Satellite-Derived Measure of Global Terrestrial Primary Production , 2004 .
[4] S. Wofsy,et al. Modeling gross primary production of temperate deciduous broadleaf forest using satellite images and climate data , 2004 .
[5] E. Davidson,et al. Satellite-based modeling of gross primary production in an evergreen needleleaf forest , 2004 .
[6] N. Goel,et al. Needle chlorophyll content estimation through model inversion using hyperspectral data from boreal conifer forest canopies , 2004 .
[7] Steven W. Running,et al. Comparisons of land cover and LAI estimates derived from ETM+ and MODIS for four sites in North America: a quality assessment of 2000/2001 provisional MODIS products , 2003 .
[8] W. Cohen,et al. Scaling Gross Primary Production (GPP) over boreal and deciduous forest landscapes in support of MODIS GPP product validation , 2003 .
[9] W. Verhoef,et al. Simulation of hyperspectral and directional radiance images using coupled biophysical and atmospheric radiative transfer models , 2003 .
[10] S. Ustin,et al. Water content estimation in vegetation with MODIS reflectance data and model inversion methods , 2003 .
[11] S. Running,et al. Global products of vegetation leaf area and fraction absorbed PAR from year one of MODIS data , 2002 .
[12] M. Weiss,et al. Reliability of the estimation of vegetation characteristics by inversion of three canopy reflectance models on airborne POLDER data , 2002 .
[13] S. Verma,et al. Inversion of net ecosystem CO2 flux measurements for estimation of canopy PAR absorption , 2002 .
[14] F. Baret,et al. Improving canopy variables estimation from remote sensing data by exploiting ancillary information. Case study on sugar beet canopies , 2002 .
[15] S. Wofsy,et al. Factors Controlling Long- and Short-Term Sequestration of Atmospheric CO2 in a Mid-latitude Forest , 2001, Science.
[16] G. Newnham,et al. Validation of a leaf reflectance and transmittance model for three agricultural crop species , 2001, IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217).
[17] C. Bacour,et al. Comparison of four radiative transfer models to simulate plant canopies reflectance: direct and inverse mode. , 2000 .
[18] J. Cavender-Bares,et al. Consequences of CO2 and light interactions for leaf phenology, growth, and senescence in Quercus rubra , 2000 .
[19] R. Myneni,et al. Investigation of a model inversion technique to estimate canopy biophysical variables from spectral and directional reflectance data , 2000 .
[20] D. Tanré,et al. Remote Sensing of Tropospheric Aerosols from Space: Past, Present, and Future. , 1999 .
[21] Frank Veroustraete,et al. Seasonal variations in leaf area index, leaf chlorophyll, and water content; scaling-up to estimate fAPAR and carbon balance in a multilayer, multispecies temperate forest. , 1999, Tree physiology.
[22] A. Bondeau,et al. Comparing global models of terrestrial net primary productivity (NPP): analysis of differences in light absorption and light‐use efficiency , 1999 .
[23] P. Bicheron. A Method of Biophysical Parameter Retrieval at Global Scale by Inversion of a Vegetation Reflectance Model , 1999 .
[24] Valérie Demarez,et al. Seasonal variation of leaf chlorophyll content of a temperate forest. Inversion of the PROSPECT model , 1999 .
[25] J. Muller,et al. MODIS BRDF / Albedo Product : Algorithm Theoretical Basis Document Version 5 . 0 , 1999 .
[26] Hans Lambers,et al. Plant Physiological Ecology , 2000, Springer New York.
[27] S. Running,et al. Synergistic algorithm for estimating vegetation canopy leaf area index and fraction of absorbed photosynthetically active , 1998 .
[28] S. Bassow,et al. HOW ENVIRONMENTAL CONDITIONS AFFECT CANOPY LEAF‐LEVEL PHOTOSYNTHESIS IN FOUR DECIDUOUS TREE SPECIES , 1998 .
[29] Gregory P. Asner,et al. SCALE DEPENDENCE OF ABSORPTION OF PHOTOSYNTHETICALLY ACTIVE RADIATION IN TERRESTRIAL ECOSYSTEMS , 1998 .
[30] Alan H. Strahler,et al. The Moderate Resolution Imaging Spectroradiometer (MODIS): land remote sensing for global change research , 1998, IEEE Trans. Geosci. Remote. Sens..
[31] Niall P. Hanan,et al. Photosynthesis and carbon balance of a Sahelian fallow savanna , 1998 .
[32] Ranga B. Myneni,et al. Estimation of global leaf area index and absorbed par using radiative transfer models , 1997, IEEE Trans. Geosci. Remote. Sens..
[33] Lorraine Remer,et al. The MODIS 2.1-μm channel-correlation with visible reflectance for use in remote sensing of aerosol , 1997, IEEE Trans. Geosci. Remote. Sens..
[34] M. Steven,et al. Evaluation of an improved version of SAIL model for simulating bidirectional reflectance of sugar beet canopies , 1997 .
[35] D. Pury,et al. Simple scaling of photosynthesis from leaves to canopies without the errors of big‐leaf models , 1997 .
[36] A. Huete,et al. A comparison of vegetation indices over a global set of TM images for EOS-MODIS , 1997 .
[37] Frédéric Baret,et al. Radiometric Estimates of Nitrogen Status of Leaves and Canopies , 1997 .
[38] Gilles Lemaire,et al. Diagnosis of the Nitrogen Status in Crops , 1997, Springer Berlin Heidelberg.
[39] J. Privette,et al. Extracting ecological and biophysical information from AVHRR optical data: An integrated algorithm based on inverse modeling , 1996 .
[40] Gérard Dedieu,et al. TURC: A diagnostic model of continental gross primary productivity and net primary productivity , 1996 .
[41] S. Ustin,et al. Estimating leaf biochemistry using the PROSPECT leaf optical properties model , 1996 .
[42] J. William Munger,et al. Exchange of Carbon Dioxide by a Deciduous Forest: Response to Interannual Climate Variability , 1996, Science.
[43] G. Hurtt,et al. A pelagic ecosystem model calibrated with BATS data , 1996 .
[44] David B. Dunson,et al. Bayesian Data Analysis , 2010 .
[45] S. Wofsy,et al. Scaling gross ecosystem production at Harvard Forest with remote sensing: a comparison of estimates from a constrained quantum‐use efficiency model and eddy correlation , 1995 .
[46] S. Goward,et al. Global Primary Production: A Remote Sensing Approach , 1995 .
[47] Alan H. Strahler,et al. MODIS BRDF/Albedo Product: Algorithm Theoretical Bais Document v3.2 , 1995 .
[48] J. Randerson,et al. Global net primary production: Combining ecology and remote sensing , 1995 .
[49] Christopher M. Bishop,et al. Neural networks for pattern recognition , 1995 .
[50] J. Randerson,et al. Terrestrial ecosystem production: A process model based on global satellite and surface data , 1993 .
[51] D. Paslier,et al. Net Exchange of CO2 in a Mid-Latitude Forest , 1993, Science.
[52] ScienceDirect,et al. Deep sea research. Part II, Topical studies in oceanography , 1993 .
[53] C. L. Wiegand,et al. Accuracy and sensitivity analyses of SAIL model-predicted reflectance of maize , 1992 .
[54] S. Goward,et al. Vegetation canopy PAR absorptance and the normalized difference vegetation index - An assessment using the SAIL model , 1992 .
[55] F. Baret,et al. PROSPECT: A model of leaf optical properties spectra , 1990 .
[56] N. Goel,et al. Evaluation of a Canopy Reflectance Model for LAI Estimation through Its Inversion , 1985, IEEE Transactions on Geoscience and Remote Sensing.
[57] W. Verhoef,et al. Comparative study of suits and sail canopy reflectance models , 1985 .
[58] Richard L. Thompson,et al. Inversion of vegetation canopy reflectance models for estimating agronomic variables. V. Estimation of leaf area index and average leaf angle using measured canopy reflectances , 1984 .
[59] W. Verhoef. Earth observation modelling based on layer scattering matrices , 1984 .
[60] W. Verhoef. Light scattering by leaf layers with application to canopy reflectance modelling: The SAIL model , 1984 .
[61] R. Colwell. Remote sensing of the environment , 1980, Nature.
[62] C. Tucker. Red and photographic infrared linear combinations for monitoring vegetation , 1979 .
[63] N. Metropolis,et al. Equation of State Calculations by Fast Computing Machines , 1953, Resonance.