Forest Height Estimation and Inversion of Satellite-Based X-band InSAR Data
Objectives:Based on TerraSAR/TanDEM-X spaceborne single-polarization interferometric synthetic aperture radar(InSAR)data,this paper investigates the impacts of algorithm selection and coherence coefficient calculation methods on forest height estimation across different scales using InSAR technology.Methods:The DSM(digital surface model)-DEM(digital elevation model)differential algorithm and the sine model are used for forest height inversion.The effects of X-band penetration on the forest height estimation results are analyzed based on the DSM-DEM differential algorithm,and the effects of the traditional coherence calculation method and the phase-only coherence calculation method on the esti-mation results are analyzed based on the sine model.The effects of different scales on the forest height esti-mation results of the above two estimation algorithms are also clarified.Results:The experimental results show that the DSM-DEM differential algorithm underestimates the forest height,and the coherence calcu-lation method has a significant effect on the forest height estimation results of the sinc model.The estima-tion results derived from the coherence calculated by the traditional method overestimate the forest height,while the estimation results derived from the coherence calculated by the coherence-only method are in good agreement with the light detection and ranging acquired canopy height model.The two forest height estimation algorithms show a steady improvement in the estimation accuracy with the increa-sing scales.Conclusions:The uncertainty of forest height estimation results can be significantly affected by the adjust-ment of methods,parameters,and the choice of parameter calculation methods.Both methods achieve reliable forest height estimates,but the coherence-based sinc model has broader practical value because it does not require real data calibration or high-precision DEM.Furthermore,the phase-only coherence cal-culation yields higher accuracy and is more suitable for forest height inversion in the sinc model.
forest height estimationinterferometric synthetic aperture radar(InSAR)coherencesinc model
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