Forest Height Inversion Using High-Resolution P-Band Pol-InSAR Data

In this paper, a high-resolution P-band Pol-InSAR data set acquired by the airborne RAMSES system over pine forest stands of different height is investigated. A significant penetration depth in all the polarimetric channels and a wide range of polarimetric phase center heights are observed, attestin...

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Bibliographic Details
Published in:IEEE transactions on geoscience and remote sensing 2008-11, Vol.46 (11), p.3544-3559
Main Authors: Garestier, F., Dubois-Fernandez, P.C., Champion, I.
Format: Article
Language:English
Subjects:
Applied geophysics
Channels
Decorrelation
Earth Sciences
Earth, ocean, space
Exact sciences and technology
Forestry
Forests
Ground penetrating radar
Grounds
Interferometric synthetic aperture radar
interferometry
Internal geophysics
Inversions
Mathematical models
Optimization methods
polarimetric radar
radar imaging
Radar polarimetry
Robustness
Sciences of the Universe
Sensitivity analysis
Signal resolution
Signal to noise ratio
Spaceborne radar
Stands
Studies
Supports
Time frequency analysis
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Summary:In this paper, a high-resolution P-band Pol-InSAR data set acquired by the airborne RAMSES system over pine forest stands of different height is investigated. A significant penetration depth in all the polarimetric channels and a wide range of polarimetric phase center heights are observed, attesting of an interaction of the radar waves with different forest structural elements. The main objective of this paper concerns forest height inversion at P-band. First, forest-modeling assumptions are evaluated using a priori information, such as ground-level and forest height measurements. The full extend of the forest height is shown to be responsible of the volume decorrelation, and a significant orientation effect is clearly identified over the highest stands. As a consequence, the Oriented Volume over Ground model (OVoG) is determined to be the most appropriated model for the forest height inversion. At P-band, the ground contribution is present in all the polarimetric channels due to the important penetration at this frequency. To overcome this difficulty, a time-frequency optimization method based on sublook decomposition is developed to separate the pure ground and canopy contributions, allowing forest height estimation with OVoG with an rms error on the order of 2 m. In the last section of this paper, a sensitivity analysis of the inversion with respect to two important system parameters, the signal-to-noise ratio and the resolution, is presented, leading to a discussion on the inversion robustness in spaceborne conditions, where these system parameters are the most deteriorated as compared to airborne configurations.
ISSN:0196-2892
1558-0644
DOI:10.1109/TGRS.2008.922032