A Bayesian network algorithm for retrieving the characterization of land surface vegetation

This publication has 32 references indexed in Scilit:

• Use of coupled canopy structure dynamic and radiative transfer models to estimate biophysical canopy characteristics
  Published by Elsevier ,2005
• An extension of the naive Bayesian classifier
  Information Sciences, 2005
• Retrieving leaf area index with a neural network method: simulation and validation
  IEEE Transactions on Geoscience and Remote Sensing, 2003
• Estimation of forest leaf area index using vegetation indices derived from hyperion hyperspectral data
  IEEE Transactions on Geoscience and Remote Sensing, 2003
• Iteratively regularized Gauss–Newton method for bound-constraint problems in atmospheric remote sensing
  Computer Physics Communications, 2003
• Relationships between leaf pigment content and spectral reflectance across a wide range of species, leaf structures and developmental stages
  Remote Sensing of Environment, 2002
• Using Bayesian belief networks to evaluate fish and wildlife population viability under land management alternatives from an environmental impact statement
  Forest Ecology and Management, 2001
• Remote estimation of chlorophyll content in higher plant leaves
  International Journal of Remote Sensing, 1997
• Estimation of leaf water content and specific leaf weight from reflectance and transmittance measurements
  Agronomy for Sustainable Development, 1997
• A knowledge-based expert system for inferring vegetation characteristics
  International Journal of Remote Sensing, 1991