Investigation of a model inversion technique to estimate canopy biophysical variables from spectral and directional reflectance data
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[1] 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 .
[2] W. Verhoef. Light scattering by leaf layers with application to canopy reflectance modelling: The SAIL model , 1984 .
[3] W. Verhoef. Earth observation modelling based on layer scattering matrices , 1984 .
[4] G. Asrar,et al. Estimating Absorbed Photosynthetic Radiation and Leaf Area Index from Spectral Reflectance in Wheat1 , 1984 .
[5] Richard L. Thompson,et al. Inversion of vegetation canopy reflectance models for estimating agronomic variables. II. Use of angle transforms and error analysis as illustrated by suits' model , 1984 .
[6] N. Goel,et al. Evaluation of a Canopy Reflectance Model for LAI Estimation through Its Inversion , 1985, IEEE Transactions on Geoscience and Remote Sensing.
[7] W. Verhoef,et al. Comparative study of suits and sail canopy reflectance models , 1985 .
[8] G. Campbell. Extinction coefficients for radiation in plant canopies calculated using an ellipsoidal inclination angle distribution , 1986 .
[9] J. C. Price. On the information content of soil reflectance spectra , 1990 .
[10] F. Baret,et al. PROSPECT: A model of leaf optical properties spectra , 1990 .
[11] J. Lagouarde,et al. The assessment of regional crop water conditions from meteorological satellite thermal infrared data , 1991 .
[12] A. Kuusk. The Hot Spot Effect in Plant Canopy Reflectance , 1991 .
[13] F. Baret,et al. Potentials and limits of vegetation indices for LAI and APAR assessment , 1991 .
[14] A. Kuusk,et al. The Inversion of the Nilson-Kuusk Canopy Reflectance Model, a Test Case , 1991, [Proceedings] IGARSS'91 Remote Sensing: Global Monitoring for Earth Management.
[15] F. T. Turner,et al. Chlorophyll Meter to Predict Nitrogen Topdress Requirement for Semidwarf Rice , 1991 .
[16] C. L. Wiegand,et al. Accuracy and sensitivity analyses of SAIL model-predicted reflectance of maize , 1992 .
[17] G. Guyot,et al. Estimating surface soil moisture and leaf area index of a wheat canopy using a dual-frequency (C and X bands) scatterometer , 1993 .
[18] S. Jacquemoud. Inversion of the PROSPECT + SAIL Canopy Reflectance Model from AVIRIS Equivalent Spectra: Theoretical Study , 1993 .
[19] Gérard Dedieu,et al. Methodology for the estimation of terrestrial net primary production from remotely sensed data , 1994 .
[20] C. Tucker,et al. Invertibility of a 1-D discrete ordinates canopy reflectance model , 1994 .
[21] R. Myneni,et al. On the relationship between FAPAR and NDVI , 1994 .
[22] N. Bruguier,et al. A simple algorithm to retrieve soil moisture and vegetation biomass using passive microwave measurements over crop fields , 1995 .
[23] J. Roujean,et al. Estimating PAR absorbed by vegetation from bidirectional reflectance measurements , 1995 .
[24] J. Clevers,et al. The robustness of canopy gap fraction estimates from red and near-infrared reflectances: A comparison of approaches , 1995 .
[25] Wenhan Qin,et al. An evaluation of hotspot models for vegetation canopies , 1995 .
[26] F. Baret,et al. Leaf optical properties with explicit description of its biochemical composition: Direct and inverse problems , 1996 .
[27] Charles L. Walthall,et al. Evidence of hot spot directional signature from airborne POLDER measurements , 1997, IEEE Trans. Geosci. Remote. Sens..
[28] Ranga B. Myneni,et al. Estimation of global leaf area index and absorbed par using radiative transfer models , 1997, IEEE Trans. Geosci. Remote. Sens..
[29] M. Steven,et al. Evaluation of an improved version of SAIL model for simulating bidirectional reflectance of sugar beet canopies , 1997 .
[30] S. Running,et al. Synergistic algorithm for estimating vegetation canopy leaf area index and fraction of absorbed photosynthetically active , 1998 .
[31] Bruno Andrieu,et al. The nested radiosity model for the distribution of light within plant canopies , 1998 .
[32] D. Diner,et al. Estimation of vegetation canopy leaf area index and fraction of absorbed photosynthetically active radiation from atmosphere‐corrected MISR data , 1998 .
[33] F. Baret,et al. A dynamic model of maize 3D architecture: application to the parameterisation of the clumpiness of the canopy , 1998 .
[34] Michael T. Manry,et al. Attributes of neural networks for extracting continuous vegetation variables from optical and radar , 1998 .
[35] W. Lucht. Expected retrieval accuracies of bidirectional reflectance and albedo from EOS-MODIS and MISR angular sampling , 1998 .
[36] J. C. Price,et al. An Approach for Analysis of Reflectance Spectra , 1998 .
[37] G. Asner. Biophysical and Biochemical Sources of Variability in Canopy Reflectance , 1998 .
[38] P. Bicheron. A Method of Biophysical Parameter Retrieval at Global Scale by Inversion of a Vegetation Reflectance Model , 1999 .
[39] F. Baret,et al. Comparison of three radiative transfer model inversion techniques to estimate canopy biophysical variables from remote sensing data , 1999, IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99 (Cat. No.99CH36293).
[40] F. Baret,et al. Evaluation of Canopy Biophysical Variable Retrieval Performances from the Accumulation of Large Swath Satellite Data , 1999 .