Polarization utilization in the microwave inversion of leaf angle distributions

The inverse problem of deducting the inclination angle distribution of leafy vegetation has been investigated using L-band multipolarization backscattered data. The modeling procedure replaces canopy leaves with thin circular dielectric disks. The Born approximation is then used to establish a linear relationship between the radar backscattering coefficients and the leaf inclination angle distribution. The inversion of the leaf angle distribution is carried out for horizontal, vertical, and cross-polarized data. It is shown that the results of the inversion using vertical and cross-polarized data are comparable to the inversion results of horizontally polarized data obtained previously (R. Lang and H. Saleh, 1985). >

[1]  S. Twomey,et al.  On the Numerical Solution of Fredholm Integral Equations of the First Kind by the Inversion of the Linear System Produced by Quadrature , 1963, JACM.

[2]  Stephen Wall,et al.  Multiple Incidence Angle SIR-B Experiment Over Argentina: Mapping of Forest Units , 1986, IEEE Transactions on Geoscience and Remote Sensing.

[3]  E. Kreyszig Introductory Functional Analysis With Applications , 1978 .

[4]  Gitta Domik,et al.  Multiple Incidence Angle SIR-B Experiment Over Argentina: Generation of Secondary Image Products , 1986, IEEE Transactions on Geoscience and Remote Sensing.

[5]  Fawwaz Ulaby,et al.  A Scatter Model for Leafy Vegetation , 1978, IEEE Transactions on Geoscience Electronics.

[6]  Roger Lang,et al.  Microwave Inversion of Leaf Area and Inclination Angle Distributions from Backscattered Data , 1985, IEEE Transactions on Geoscience and Remote Sensing.

[7]  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 .

[8]  Leung Tsang,et al.  Radiative transfer theory for active remote sensing of a layer of nonspherical particles , 1984 .

[9]  K. Miller Least Squares Methods for Ill-Posed Problems with a Prescribed Bound , 1970 .

[10]  Benjamin M. Herman,et al.  Bistatic LIDAR: A Tool for Characterizing Atmospheric Particulates: Part II---The Inverse Problem , 1982, IEEE Transactions on Geoscience and Remote Sensing.

[11]  R. E. Oliver,et al.  A Comparison of two Photographic Techniques for Estimating Foliage Angle Distribution , 1977 .

[12]  David L. Phillips,et al.  A Technique for the Numerical Solution of Certain Integral Equations of the First Kind , 1962, JACM.

[13]  V. Morozov Regularization of incorrectly posed problems and the choice of regularization parameter , 1966 .

[14]  M. A. Karam,et al.  Scattering from randomly oriented circular discs with application to vegetation , 1983 .

[15]  Roger H. Lang,et al.  Electromagnetic Backscattering from a Layer of Vegetation: A Discrete Approach , 1983, IEEE Transactions on Geoscience and Remote Sensing.

[16]  Roger H. Lang,et al.  Electromagnetic backscattering from a sparse distribution of lossy dielectric scatterers , 1981 .

[17]  B. Herman,et al.  Bistatic LIDAR: A Tool for Characterizing Atmospheric Particulates: Part I---The Remote Sensing Problem , 1982, IEEE Transactions on Geoscience and Remote Sensing.