Fast implementation of dual-baseline forest height inversion in repeatpass InSAR systems: BIOMASS case

Abstract:
Emerging spaceborne missions, like ESA’s BIOMASS, capable of capturing interferometric polarimetric and tomographic data, demand holistic model integration. The utilization of TomoSAR-modeled profiles offers the advantage of reducing the dimensionality of the forest height inversion using volumetric interferometric coherence. In dual baseline scenario, this approach can aid in inverting the ground-to-volume ratio and compensating for temporal decorrelation, especially advantageous for repeat-pass systems. Until now, the methods addressed in literature, tackle the problem of forest height estimation together with the estimation of the ground-to-volume and temporal decorrelations. In this paper, we derive a relation which allows to cancel the temporal decorrelation and polarization dependent parameter from the multi-parameter equation. It reduces the intrinsically 4-parameter estimation problem into 1-parameter, and allows to integrate the multi-baseline approach for structural parameters estimation.