S-RVoG model for forest parameters inversion over underlying topography

Since the terrain slope cannot be neglected for forest height inversion with polarimetric synthetic aperture radar interferometry (PolInSAR), a sloped random volume over ground (S-RVoG) model is proposed to correct the terrain distortion for forest parameters estimation. A significant model complexi...

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Bibliographic Details
Published in:Electronics letters 2013-04, Vol.49 (9), p.618-620
Main Authors: Lu, Hongxi, Suo, Zhiyong, Guo, Rui, Bao, Zheng
Format: Article
Language:English
Subjects:
Agronomy. Soil science and plant productions
Biological and medical sciences
complexity reduction
computational complexity
ESA
European space agency
forest height inversion
forest parameters inversion
Fundamental and applied biological sciences. Psychology
Generalities. Biometrics, experimentation. Remote sensing
parameters estimation
polarimetric synthetic aperture radar interferometry
PolInSAR
radar geometrical configuration
radar interferometry
Radar, sonar and navigation
Remote sensing
sloped random volume over ground
synthetic aperture radar
S‐RVoG model
terrain distortion
terrain slope
underlying topography
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Summary:Since the terrain slope cannot be neglected for forest height inversion with polarimetric synthetic aperture radar interferometry (PolInSAR), a sloped random volume over ground (S-RVoG) model is proposed to correct the terrain distortion for forest parameters estimation. A significant model complexity reduction is achieved by aligning the reference frame along the local terrain slope and changing the corresponding radar geometrical configuration. The proposed S-RVoG model inversion promises to provide much more accurate estimation of forest parameters and is validated with L-band PolInSAR data produced by PolSARpro software developed by the European Space Agency (ESA).
ISSN:0013-5194
1350-911X
1350-911X
DOI:10.1049/el.2012.4467