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

Session

Soil and Hydrology I

19 Nov 2026, 09:30

Aula Master (Universitat Politecnica de Catalunya )

1. Ground--Latent Interferometric Model for Soil Moisture Anomaly Retrieval

Giovanni Costa (RIDE Lab - Politecnico di Milano)

19/11/2026, 09:30

Soil and Hydrology

ORAL

This work introduces the Ground--Latent Interferometric Model (GLIM), a physics-based representation of the interferometric response to soil moisture variations building upon the formulation in [2]. GLIM represents the observed response as the superposition of two physically distinct scattering mechanisms: a temporally stable Ground contribution, providing a common interferometric phase...

23. High-resolution surface soil moisture retrieval: A hybrid machine learning framework integrating change detection and downscaling for precision water management

zihao wang (Centre Tecnològic de Telecomunicacions de Catalunya (CTTC))

19/11/2026, 09:50

Soil and Hydrology

ORAL

Soil moisture (SM) is a critical variable in hydrological, ecological, and agricultural domains, playing a pivotal role in irrigation management, drought monitoring, and crop yield prediction. While in-situ measurements provide highly accurate SM data, they are costly and spatially limited. Remote sensing techniques enable large-area monitoring, but current satellite SM products, with spatial...

2. Assessing mire breathing patterns across Mecklenburg Vorpommern, Germany using a Sentinel-1 SBAS approach

Luc Pienkoß (Deutschland/ Universität Rostock)

19/11/2026, 10:10

Soil and Hydrology

ORAL

Peatland condition is a key indicator of ecosystem integrity and carbon storage potential, making reliable monitoring of degradation processes essential at regional to national scales. Mire breathing—the cyclic surface motion driven by hydrological dynamics—serves as an important proxy for peatland degradation. Drained or degraded peatlands typically exhibit weak oscillatory behaviour combined...

11. Deep Learning-Based Soil Moisture Retrieval from Short Sentinel-1 Time Series

Jose Luis Bueso

19/11/2026, 10:30

Soil and Hydrology

ORAL

Soil moisture is the amount of water contained in the unsaturated soil zone and is a key variable controlling plant water uptake, crop yields, groundwater recharge, and land–atmosphere exchanges of heat and carbon. Accurate knowledge of its spatial and temporal distribution is therefore important for applications such as precision agriculture, drought monitoring, and flood...