9th INTERNATIONAL WORKSHOP ON RETRIEVAL OF BIO- & GEO- PHYSICAL PARAMETERS FROM SAR DATA FOR LAND APPLICATIONS

Session

Forest - Tomography II

18 Nov 2026, 15:20

Aula Master (Universitat Politecnica de Catalunya )

48. Model-free and high-resolution 3D imaging of forests using moment-based SAR tomography

Laurent Ferro-Famil (ISAE-SUAPERO & CESBIO, University of Toulouse, France)

18/11/2026, 15:20

Forestry

ORAL

Forest SAR tomography is a key tool for monitoring biomass. It involves processing a stack of coherent SAR images to extract various observables related to biomass. One challenge of forest SAR tomography is that the shape of the forest’s reflectivity profile is unknown. Typically, a prior is introduced; for example, the reflectivity profile is assumed to be Gaussian or an exponential. However,...

51. Single-Baseline P-band PolInSAR Tomography with the Two-Layer Model: Application to ESA BIOMASS Data

Alberto Alonso-Gonzalez (Universitat Politecnica de Catalunya (UPC))

18/11/2026, 15:40

Forestry

ORAL

Polarimetric SAR Interferometry (PolInSAR) merges polarimetric SAR, offering the ability to distinguish between different scattering types within individual resolution cells, and interferometric SAR, which provides sensitivity to the vertical distribution of scatterers.

The PolInSAR two-layer model represents the signal as a combination of ground and volume contributions and has proven...

27. Multi-Source Fusion for Near-Real-Time Forest Loss Monitoring Using Sentinel-1 and Sentinel-2 Time Series with an Unsupervised Bayesian Method

Dr Marta Bottani (CESBIO (Université de Toulouse))

18/11/2026, 16:00

Forestry

ORAL

Timely and accurate monitoring of deforestation is critical for managing tropical forests, yet individual Earth observation sensors have inherent limitations. Multispectral imagery provides rich spectral information on vegetation properties but is often hindered by cloud cover and limited canopy penetration. Synthetic Aperture Radar (SAR) complements optical data by being largely insensitive...