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

Session

Soil and Hydrology II

19 Nov 2026, 11:10

Aula Master (Universitat Politecnica de Catalunya )

41. Large-Scale Soil Moisture Retrieval in Complex Terrain: A Physics-Informed Deep Learning Approach

Chiara Telli

19/11/2026, 11:10

Soil and Hydrology

ORAL

Monitoring soil moisture in Alpine regions is essential for understanding hydrological dynamics, drought events, and the impacts of climate change in mountain environments. However, reliable monitoring remains challenging due to strong spatial heterogeneity, complex topography, sparse in situ observations, and rapidly changing land-surface conditions. While spaceborne Synthetic Aperture Radar...

34. Using Quad-Pol ALOS PolSAR for Monitoring Wetland Dynamics

Sebastiano Pignato (University Of Stirling)

19/11/2026, 11:30

Soil and Hydrology

ORAL

Continuous water-level monitoring in shallow coastal lagoons and wetlands is essential for ecological protection and water resource management. In extensive wetland systems such as the Danube Delta, ground gauges are sparse and often difficult to install and maintain. While satellite altimetry provides only limited coverage because its measurements are restricted to narrow ground tracks, SAR...

46. Did the 2026 summer drought leave a SAR signature? Backscatter and polarimetric response of the Brasschaat ICOS forest compared to 2025

Paulina Swiatek (TU Delft)

19/11/2026, 11:50

Soil and Hydrology

ORAL

The summer of 2026 was exceptionally dry and warm across Europe, and its ecological impact is now becoming measurable. At the ICOS ecosystem station in Brasschaat, Belgium (ICOS code Be-Bra), eddy-covariance measurements from the 40 m tower indicate that canopy photosynthesis fell roughly 19% below the long-term average....

55. High Resolution mapping of Soil Moisture and Vegetation Biomass in the framework of ESA SMEM project

Giuliano Ramat (IFAC CNR)

19/11/2026, 12:10

1

Soil and Hydrology

ORAL

The Soil Moisture Ensemble Method (SMEM) is a project funded by the European Space Agency (ESA) aimed at enhancing both the accuracy and spatial detail of soil moisture (SM) and vegetation water content (VWC) retrievals derived from multi-frequency Synthetic Aperture Radar (SAR) observations. The initiative addresses some of the major limitations affecting current retrieval approaches,...