Publications des scientifiques de l'IRD

Tsang L., Koh I. S., Liao T. H., Huang S. W., Xu X. L., Njoku E. G., Kerr Yann. (2013). Active and passive vegetated surface models with rough surface boundary conditions from NMM3D. Ieee Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 6 (3), p. 1698-1709. ISSN 1939-1404.

Titre du document
Active and passive vegetated surface models with rough surface boundary conditions from NMM3D
Année de publication
2013
Type de document
Article référencé dans le Web of Science WOS:000320871800067
Auteurs
Tsang L., Koh I. S., Liao T. H., Huang S. W., Xu X. L., Njoku E. G., Kerr Yann
Source
Ieee Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2013, 6 (3), p. 1698-1709 ISSN 1939-1404
In this paper, we derive an expression of the brightness temperatures of a vegetated surface based on the tau-omega model with the rough surface boundary condition that replaces the conventional exp(-h) model by NMM3D (Numerical Simulations of 3D Maxwell equations). A purpose of the paper is that the same physical rough surface scattering model based on NMM3D and the same physical paramters of rms heights and correlation lengths can be used for both passive and active remote sensing of the same scene of vegetated surfaces. The bistatic scattering of rough surfaces are decomposed into the coherent wave and the co-polarization and the cross-polarization of the incoherent waves to quantify the contribution of each of these components. Numerical results are illustrated for a variety of roughness conditions. Comparisons are made with the exp(-h) model. Results are compared with the experimental passive measurements of PORTOS 1993 for bare soil cases. Data cubes for grassland are calculated for both active and passive signatures at L band. Comparisons are then made with the L band PALS data for the grassland of SGP99 using these data cubes.
Plan de classement
Sciences fondamentales / Techniques d'analyse et de recherche [020] ; Télédétection [126]
Identifiant IRD
PAR00010721
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