Knowledge Database and Inversion

[1]  R. Nemani,et al.  Assessment of the Broadleaf Crops Leaf Area Index Product from the Terra MODIS Instrument , 2005 .

[2]  Jindi Wang,et al.  Component temperatures inversion for remote sensing pixel based on directional thermal radiation model , 2000 .

[3]  S. Liang,et al.  A hybrid inversion method for mapping leaf area index from MODIS data: experiments and application to broadleaf and needleleaf canopies , 2005 .

[4]  Michel M. Verstraete,et al.  Potential and limitations of information extraction on the terrestrial biosphere from satellite remote sensing , 1996 .

[5]  J. Privette,et al.  Inversion methods for physically‐based models , 2000 .

[6]  Jindi Wang,et al.  On utilization ofa priori knowledge in inversion of remote sensing models , 1998 .

[7]  Nadine Gobron,et al.  Optical remote sensing of vegetation: Modeling, caveats, and algorithms , 1995 .

[9]  S. Liang.  Quantitative Remote Sensing of Land Surfaces , 2003 .

[10]  A. Strahler,et al.  Scale effects and scaling-up by geometric-optical model , 1999 .

[11]  Jindi Wang,et al.  Research on scale effect of histogram , 2002 .

[12]  C. Rodgers,et al.  Retrieval of atmospheric temperature and composition from remote measurements of thermal radiation , 1976 .

[13]  J. Privette,et al.  Estimating spectral albedo and nadir reflectance through inversion of simple BRDF models with AVHRR/MODIS‐like data , 1997 .

[14]  Michael J. Barnsley,et al.  Global retrieval of bidirectional reflectance and albedo over land , 1997 .

[15]  Feng Gao,et al.  Estimation of the parameter error propagation in inversion based BRDF observations at single sun position , 2000 .

[16]  A. Kuusk.  Determination of vegetation canopy parameters from optical measurements , 1991 .

[17]  Frédéric Baret,et al.  Validation of global moderate-resolution LAI products: a framework proposed within the CEOS land product validation subgroup , 2006, IEEE Transactions on Geoscience and Remote Sensing.

[18]  Jindi Wang,et al.  A priori knowledge accumulation and its application to linear BRDF model inversion , 2001 .

[19]  James A. Smith,et al.  LAI inversion using a back-propagation neural network trained with a multiple scattering model , 1993, IEEE Trans. Geosci. Remote. Sens..

[20]  P. Ann Ratcliffe,et al.  A knowledge-based expert system for inferring vegetation characteristics , 1991 .

[21]  B. Marcot,et al.  Using Bayesian belief networks to evaluate fish and wildlife population viability under land management alternatives from an environmental impact statement , 2001 .

[22]  A. Tarantola.  Inverse problem theory : methods for data fitting and model parameter estimation , 1987 .