研究目的
To improve the characterization of tropical forests and the estimation of Above Ground Biomass (AGB) using Polarimetric SAR Tomography (PolTomSAR) data at P band by addressing limitations in existing methods related to ground contributions and geometrical mismatches.
研究成果
The proposed techniques significantly reduce the AGB estimation error compared to existing methods, demonstrating improved accuracy and robustness in tropical forest biomass estimation using PolTomSAR data at P band.
研究不足
The study is limited to tropical forests and uses data from a specific site (Paracou test site in French Guiana). The effectiveness of the proposed methods in other forest types or geographical locations is not verified.
1：Experimental Design and Method Selection:
The study revisits existing forest biomass estimation methods using an adaptive tomographic intensity sampling approach and an adaptive polarimetric decomposition technique to decouple sampled intensity from ground and topographic scattering effects.
2：Sample Selection and Data Sources:
TROPISAR P-band data acquired by the ONERA’s SETHI sensor over the Paracou test site in French Guiana in 2009 is used.
3：List of Experimental Equipment and Materials:
ONERA’s SETHI sensor for data acquisition.
4：Experimental Procedures and Operational Workflow:
The methodology involves determining canopy reflectivity sampling location as a function of effective forest height and tomographic resolution, and applying polarimetric decomposition to separate volume from ground responses.
5：Data Analysis Methods:
The performance of proposed techniques is assessed by comparing AGB estimation errors with existing methods.
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