Tropical Forest Characterization Using Parametric SAR Tomography at P Band and Low-Dimensional Models

P band synthetic aperture radar (SAR) tomography represents a powerful tool for characterizing the 3-D structure of tropical forests from their electromagnetic response. Current techniques separate the responses of the forest canopy and the underlying ground using SAR tomography, polarimetric diversity, and complex processing techniques. This letter shows that similar performance and better stability may be achieved using single-polarization data and parametric tomographic focusing, performed using a low-dimensional model. The vertical density of reflectivity of a tropical forest is modeled, at P band, using a Dirac function for the ground and a narrow peak for the volume. The performance of the proposed method is evaluated using P band tomographic data acquired during the TropiSAR campaign, and the results show that it can accurately and reliably estimate key structural parameters of the observed topical forest.

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Publication Details

Journal
IEEE Geoscience and Remote Sensing Letters
Published
2024-10-24
DOI
https://doi.org/10.1109/lgrs.2024.3485806
Citations
3
Primary Topic
Synthetic Aperture Radar (SAR) Applications and Techniques
Type
article
Field-Weighted Citation Impact
3.90
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article

Tropical Forest Characterization Using Parametric SAR Tomography at P Band and Low-Dimensional Models

P. Bou, Yué Huang, Laurent Ferro-Famil, Frédéric Brigui
3 citations
IEEE Geoscience and Remote Sensing Letters
Synthetic Aperture Radar (SAR) Applications and Techniques
3.90
article

Tropical Forest Characterization Using Parametric SAR Tomography at P Band and Low-Dimensional Models

P. Bou, Yué Huang, Laurent Ferro-Famil, Frédéric Brigui
article en
3 citations

Abstract

P band synthetic aperture radar (SAR) tomography represents a powerful tool for characterizing the 3-D structure of tropical forests from their electromagnetic response. Current techniques separate the responses of the forest canopy and the underlying ground using SAR tomography, polarimetric diversity, and complex processing techniques. This letter shows that similar performance and better stability may be achieved using single-polarization data and parametric tomographic focusing, performed using a low-dimensional model. The vertical density of reflectivity of a tropical forest is modeled, at P band, using a Dirac function for the ground and a narrow peak for the volume. The performance of the proposed method is evaluated using P band tomographic data acquired during the TropiSAR campaign, and the results show that it can accurately and reliably estimate key structural parameters of the observed topical forest.

IEEE Geoscience and Remote Sensing LettersVol. 22
École Nationale de l’Aviation Civile (FR), Université Fédérale de Toulouse Midi-Pyrénées (FR), Institut Superieur de l'Aeronautique et de l'Espace (ISAE-SUPAERO) (FR), Université Paris-Saclay (FR), Office National d'Études et de Recherches Aérospatiales (FR), Centre d'Études Spatiales de la Biosphère (FR), Météo-France (FR)
Life in Land
Openalex Percentile: Top 6%
Synthetic Aperture Radar (SAR) Applications and Techniques
3.90
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Tropical Forest Characterization Using Parametric SAR Tomography at P Band and Low-Dimensional Models — P. Bou, Yué Huang, et al. · IEEE Geoscience and Remote Sensing Letters (2024) | TGRS Research Map | TGRS