Conference Agenda

ESA Welcome & Objectives

Francesco Sarti

ESA, Netherlands, The

Welcome Message from State Secretary, Ministry of the Economy, Tourism and Sport

Matevž Frangeš

Ministry of the Economy, Tourism and Sport, Slovenia

Welcome Message from Vice-rector for research and development of the University of Ljubljana

Gregor Dolinar

Faculty of Electrical Engineering, University of Ljubljana, Slovenia

Workshop Agenda & Logistics

Klaus Scipal

European Space Agency-ESA, Germany

PolInSAR achievements since PolInSAR 2023

Magdalena Fitrzyk

RSAC c/o European Space Agency ESA-ESRIN, Italy

ESA SAR Missions Status

Clement Albinet

European Space Agency (ESA), Italy

The NASA-ISRO SAR (NISAR) Mission: Overview and Status

Marco Lavalle, Paul Rosen

NASA JPL, United States of America

ALOS-4 PALSAR-3 – An L-band SAR Mission with Operational Polarimetric Capacity

Ake Rosenqvist^1,2, Takeo Tadono¹, Takeshi Motohka¹

1: Japan Aerospace Exploration Agency, Japan; 2: solo Earth Observation (soloEO), Japan

Modernizing PolSARpro: A Python-Based Re-Implementation for Research and Education

Olivier D’Hondt¹, Armando Marino², Eric Pottier³, Lena Woźniak⁴, Magdalena Fitrzyk⁵, Francesco Sarti⁶

1: SAREO, Poland; 2: University of Stirling, UK; 3: IETR, France; 4: SATIM, Poland; 5: RSAC c/o ESA, Italy; 6: European Space Agency, ESA, Italy

Introducing the LSI-VC PolSAR Activity – A CEOS Effort to Support the Advancement of Polarimetric SAR R&D for Experts and New Users

Ake Rosenqvist^1,4, Magdalena Fitrzyk^2,3, Francesco Sarti³, Takeo Tadono⁴

1: solo Earth Observation (soloEO), Japan; 2: RSAC c/o ESA, Italy; 3: European Space Agency, Italy; 4: Japan Aerospace Exploration Agency, Japan

Modeling Multi-Static and Multi-Polarization Radar Scattering Off Anisotropic Soil

Konstantinos Karachristos, Ferdinando Nunziata, Nazzareno Pierdicca, Davide Comite

sapienza university of rome, Italy

Testing different methodologies to decompose PolSAR data into an Focus partial target plus a Residual one (1F+R)

Armando Marino

The University of Stirling, United Kingdom

Quad-pol Data Reconstruction from Compact-pol Data Using Deep Learning Methods

Sahar Ebrahimi^1,2, Vahid Akbari¹, Armando Marino¹, Mina Moradizadeh², Iman Khosravi²

1: University of Stirling, United Kingdom; 2: University of Isfahan, Iran

Decomposition of PolSAR heterogeneous targets using tensor fields

Armando Marino

The University of Stirling, United Kingdom

Comprehensive Analysis of Helical Scattering Component using ISRO’s EOS-04 Full Polarimetric SAR Data (💻online)

Jayasri Poludasu V¹, T. Gopi Krishna², K. Niharika¹, H.S.V. Usha Sundari Ryali¹

1: National Remote Sensing Centre, Indian Space Research Organisation (ISRO), India; 2: Samskruti College of Engineering and Technology, Hyderabad, India

Full-Polarimetric Calibration of Ground-Based Radar using Corner Reflectors

Je-Yun Lee, Sang-Hoon Hong

Pusan National University, Korea, Republic of (South Korea)

Shedding New Light on the Lunar South Pole Through Quad-Polarimetric Chandrayaan-2 L-band Data

Poppy McVann¹, Armando Marino², Richard Ghail¹, Gerard Gallardo i Peres³, Philippa Mason³, Connor Knight¹

1: Royal Holloway, University of London, United Kingdom; 2: University of Stirling; 3: Imperial College London

Multiscale Analysis of InSAR Phase Measurements for Forest Structure Characterization

Lea Albrecht, Konstantinos Papathanassiou

DLR, Germany

Exploiting Sentinel-1 Polarimetric Diversity for Near Real-Time Forest Loss Monitoring using a Bayesian Detector

Marta Bottani¹, Laurent Ferro-Famil^1,2

1: CESBIO, Toulouse, France; 2: ISAE Supaero, Toulouse, France

Polarization Coherence Tomography for Reconstructing Forest 3D Reflectivity from Multi-Frequency SAR and Lidar Measurements

Desirée Murgia^1,2,3, Roman Guliaev¹, Matteo Pardini¹, Fabrizio Lombardini³, Konstantinos Papathanassiou¹

1: German Aerospace Center (DLR), Germany; 2: University of Pisa, Department of Earth Science; 3: University of Pisa, Department of Information Engineering

Mission Overview

Björn Rommen

European Space Agency-ESA, Netherlands, The

Mission Performance at the end of Commissioning phase

Antonio Leanza

ESA, Netherlands, The

Mission Planning, Orbit Performance and Potential Evolutions

Jakob Karg

European Space Agency-ESA, Germany

Results from BIOMASS In-Orbit Commissioning analyses

Laura Fioretti¹, Francesco Banda¹, Emanuele Giorgi¹, Marco Di Trocchio¹, Riccardo Piantanida¹, Andrea Recchia¹, Marco Manzoni²

1: aresys, Italy; 2: Politecnico di Milano, Italy

Evaluation of BIOMASS Radiometric Stability using Permanent Scatterers: first results from the commissioning phase

Marco Manzoni¹, Francesco Banda², Stefano Tebaldini¹

1: Politecnico di Milano, Italy; 2: Aresys S.r.l.

FIRST ASSESSMENT OF BIOMASS INTERFEROMETRIC PERFORMANCE AND FOREST HEIGHT RETRIEVAL

Roman Guliaev, Matteo Pardini, Noelia Romero-Puig, Junsu Kim, Felipe Betancourt-Payan, Konstantinos Papathanassiou

DLR e.V., Oberpfaffenhofen

First Demonstration of Forest Structure Monitoring with Early P-Band BIOMASS Pol-InSAR Data

Noelia Romero-Puig, Matteo Pardini, Roman Guliaev, Junsu Kim, Kostas Papathanassiou

German Aerospace Center (DLR), Germany

First results from the ESA BIOMASS L1B IOC data in Brazilian Forests

Mikhail Urbazaev, Viola Heinrich, Martin Herold

GFZ Helmholtz Centre for Geosciences, Germany

Assessment of early BIOMASS data in the context of global biomass estimation

Maurizio Santoro, Oliver Cartus, Christophe Magnard, Urs Wegmüller

Gamma Remote Sensing, Switzerland

Ground notched SAR tomography: principles and first application to BIOMASS data

Laurent Ferro Famil^1,2, Marta Bottani², Yue Huang³, Francesco Savaterra^4,5, Francesco Banda⁵, Stefano Tebaldini⁴

1: ISAE-SUPAERO, University of Toulouse, France; 2: CESBIO, University of Toulouse, France; 3: Meteo-France, Toulouse, France; 4: Politecnico di Milano, Italy; 5: Aresys, Milano, Italy

Early assessment of BIOMASS P-band observables for above-ground biomass density mapping over the Amazon

Maciej Soja¹, Francesco Banda², Klaus Scipal³

1: Wageningen Environmental Research, Netherlands, The; 2: Aresys Srl, Italy; 3: European Space Agency, Italy

Biomass Product Status at the start of Operations

Muriel Pinheiro

European Space Agency (ESA), Italy

Overview of the BIOMASS Level 3 product processor

Laurent Ferro Famil¹, Clement Albinet², Francesco Banda³, Marta Bottani¹, Paolo Mazzucchelli³, Antonio Novelli⁴, Nathan Paillou⁵, Muriel Pinheiro², Bjorn Rommen⁶, Klaus Scipal²

1: ISAE-SUPAERO & CESBIO, France; 2: ESA ESRIN, Italy; 3: ARESYS, Italy; 4: RHEA, Italy; 5: Private; 6: ESA ESTEC, The Netherlands

ESA MAAP, Biomass MAAP and BioPAL

Roberto Alacevich, Saskia Brose, Clement Albinet

European Space Agency / Agence Spatiale Européenne, Italy

The Biomass Product Algorithm Laboratory (PAL): A Collaborative and Experimental Environment for Algorithm Development, Processing and Data Analytics within the ESA MAAP Framework

Erminia De Grandis¹, Alessandro Marin¹, Francesco Cantavenera¹, Roberto Alacevich², Cristiano Lopes², Saskia Brose², Clement Albinet², Francesco Ferrante³, Benedetta Antonielli³, Joseph Melizza³

1: CGI Italia, Frascati, Italy; 2: European Space Agency (ESA), ESRIN, Frascati, Italy; 3: Serco Italia, Rome, Italy

Exploiting X-Band PolInSAR for High-Resolution Agricultural Monitoring: Sub-surface Humidity and Sowing / Ridge Signatures

Elise Colin¹, Jean Bouchat², Frédéric Brigui³, Hubert Cantalloube³

1: DTIS, Onera, Université Paris Saclay, France; 2: ESRIN, European Space Agency, Italy; 3: DEMR, Onera, Université Paris Saclay, France

Estimating Soil Moisture Anomalies via Temporal-SKP Decomposition

Giovanni Costa, Stefano Tebaldini, Andrea Virgilio Monti Guarnieri

Politecnico di Milano, Italy

Scattering Physics and Deep Learning: an Explainable Physics–Informed AI Framework for Soil Moisture Retrieval

Lorenzo Giuliano Papale¹, Xiaodong Huang², Marco Lavalle², Fabio Del Frate¹, Giovanni Anconitano³

1: Tor Vergata University of Rome, Italy; 2: Jet Propulsion Laboratory, California Institute of Technology; 3: Istituto Nazionale di Geofisica e Vulcanologia, Rome, Italy

Limits of Soil Moisture Retrieval at L-Band over Bare and Vegetated Fields using Airborne Polarimetric D-InSAR

Henri Schauer^1,4, Nikita Basargin^1,2,3, Irena Hajnsek^1,4

1: German Aerospace Center, Oberpfaffenhofen, Germany; 2: School of Life Sciences, Technical University of Munich (TUM), Freising, Germany; 3: Munich School for Data Science (MUDS), Munich, Germany; 4: Institute of Environmental Engineering, ETH Zurich, Zurich, Switzerland

AgriROSE-L 2025 Case Study: Soil Moisture Estimation from L-Band PolSAR Time Series

Nikita Basargin^1,2,3, Alberto Alonso-González⁴, Irena Hajnsek^1,5

1: Microwaves and Radar Institute, German Aerospace Center (DLR), Weßling, Germany; 2: School of Life Sciences, Technical University of Munich (TUM), Freising, Germany; 3: Munich School for Data Science (MUDS), Munich, Germany; 4: Signal Theory and Communications Department, Universitat Politécnica de Catalunya (UPC), Barcelona, Spain; 5: Institute of Environmental Engineering, ETH Zürich, Zürich, Switzerland

Using a ground Synthetic Aperture Radar to simulate multi-frequency quad-pol backscatter from a flood environment

Felix K. Isundwa¹, Armando Marino¹, Andrea Berardi², Isabella Bovolo³, Peter Hunter¹, Claire Neil⁴, Thiago S. F. Silva¹

1: University of Stirling, United Kingdom; 2: The Open University, United Kingdom; 3: Durham University, United Kingdom; 4: Scottish Environment Protection Agency, United Kingdom

Proposing a new POLSAR optimisation for monitoring of Wetland Flood dynamics using Sentinel-1 SLC images. A case of Rupununi in Guyana.

Felix Isundwa¹, Armando Marino¹, Andrea Berardi², Isabella Bovolo³, Peter Hunter¹, Claire Neil⁴, Thiago S. F. Silva¹

1: University of Stirling, United Kingdom; 2: The Open University, United Kingdom; 3: Durham University, United Kingdom; 4: Scottish Environment Protection Agency, United Kingdom

Using quad-pol multi-frequency ground SAR data to assess water table depth changes in a controlled peatland bog

Georgina Page¹, Armando Marino¹, Peter Hunter¹, Jens-Arne Subke¹, Brian Barrett²

1: University of Stirling, United Kingdom; 2: University of Glasgow, United Kingdom

Soybean Phenology Monitoring Using Dual-Pol H-Alpha Decomposition

Sakshi Jain¹, Unmesh Khati¹, Vineet Kumar²

1: Indian Institute of Technology Indore, Indore, India; 2: IHE Delft Institute for Water Education 2611 AX Delft,

High-resolution Surface Soil Moisture Mapping from Time-series SAR over Agricultural Areas with Constraints of Coarse Resolution Microwave Observations

Hongtao Shi¹, Jiangyuan Zeng^2,3, Nan Xu⁴, Zhong Lu¹, Jinqi Zhao¹, Qing Wu¹

1: China University of Mining and Technology; 2: University of Chinese Academy of Sciences; 3: Aerospace Infopprmation Space Research Insititute, Chinese Academy of Sciences; 4: Shenzhen University

AGRIROSE-L AIRBORNE SAR EXPERIMENT FOR LAND COVER, VEGETATION PARAMETERS AND SOIL MOISTURE

Irena Hajnsek^1,2, H. Schauer¹, N. Basargin¹, R. Guliaev¹, M. Keller¹, M. Jäger¹, T. Hank⁴, R. Ludwig⁴, S. Steinhauser⁴, T. Ramsauer⁴, U. Heiden³, K. Kühl³, S. Chabrillat⁵, L. Homolová⁶, J. Kubanek⁷, M. Celesti⁸

1: DLR/ETH Zürich, Germany; 2: DLR, Microwaves and Radar Institute, Germany; 3: ETH Zurich, Institute of Environmental Engineering, Switzerland; 4: DLR, Method of Remote Sensing Institute, Germany; 5: LMU, Department für Geographie, Ludwig-Maximilians-Universität München,; 6: GFZ, Remote Sensing and Geoinformatics, German Research Center for Geosciences, Potsdam, Germany; 7: Czech Globe, Global Change Research Institute, Czech Republic; 8: ESA-ESTEC – Earth Observation Campaigns Section, Netherlands

Tomographic investigations with a Ku-Band interferometer (KAPRI) on different natural environments

Esther Mas Sanz¹, Othmar Frey^1,2, Irena Hajnsek^1,3

1: Institute of Environmental Engineering, Swiss Federal Institute of Technology (ETH), Zürich, Switzerland; 2: GAMMA Remote Sensing AG, Gümligen,Switzerland; 3: Microwaves and Radar Institute, German Aerospace Center (DLR), Weßling, Germany

UAVSAR TomoSAR and PolInSAR over Forest Biomes: Current Status and Developments

Richard Chen, Marc Simard, Yunling Lou

Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA

Mapping Tropical Forest in Gabon with L-/P-band Multibaseline Acquisitions: Results from the GABONX Campaigns

Irena Hajnsek^1,2, Matteo Pardini¹, Roman Guliaev¹, Kostas Papathanassiou¹, Fred Terrance Ndouni Missono^1,3, Martin Keller¹, Marc Jaeger¹, Tania Casal⁴

1: DLR, Microwaves and Radar Institute, Germany; 2: ETH Zurich, Institute of Environmental Engineering, Switzerland; 3: AGEOS Agence Spatial de Gabon, Gabon; 4: ESA-ESTEC – Earth Observation Campaigns Section – Noordwijk (Netherlands)

Processing Strategies for BIOMASS Digital Terrain Model Retrieval

Francesco Banda¹, Francesco Salvaterra², Stefano Tebaldini², Laurent Ferro-Famil³, Claudio Prati²

1: aresys, Italy; 2: Politecnico di Milano, Italy; 3: ISAE-Supaero/CEBSIO, France

High-Resolution Techniques for Topography Estimation and Terrain Ground Steering within the ESA BIOMASS Processor

Francesco Salvaterra¹, Laurent Ferro-Famil^2,3, Francesco Banda⁴, Stefano Tebaldini¹

1: Politecnico di Milano, Italy; 2: ISAE-SUPAERO; 3: CESBIO; 4: Aresys

Comparison of X, C, and L-band DEMs with Biomass P-band PolSAR Imagery in Desert Regions: A Geomorphological Analysis Approach

Mhamad El Hage¹, Laurent Polidori², Ahmed Gaber³, Laurent Ferro-Famil⁴, Ludovic Villard⁵

1: Lebanese University, Lebanon (Lebanese Republic); 2: Universidade Federal do Pará (UFPA), Belém, Brazil; 3: Port Said University, Port said, Egypt; 4: ISAE-SUPAERO / CESBIO, Toulouse, France; 5: CNRS / CESBIO, Toulouse, France

Preliminary evaluation of BIOMASS interferometric data over desert environments

Yanghai Yu^1,2, Stefano Tebaldini², Francesco Banda³

1: National Space Science Center, Chinese Academy of Sciences, China, People's Republic of; 2: Department of Electronics, Information and Bioengineering, Politecnico di Milano, Italy; 3: Aresys, Italy

Exploring Polarimetric Signatures for Geology of Arid Regions: Preliminary Biomass P-Band PolSAR Results Over the Tibesti Mountains

Zbigniew Perski, Maria Przyłucka, Michalina Cisło

Polish Geological Institute - National Research Institute, Poland

BIOMASS ice flow mapping

Anders Kusk, Jørgen Dall, John Merryman Boncori

Technical University of Denmark, Denmark

Polarimetric analysis of ESA’s BIOMASS mission over Antarctica

Sara-Patricia Schlenk^1,2, Georg Fischer¹, Irena Hajnsek^1,3

1: German Aerospace Center – Microwaves and Radar Institute, Wessling, Germany; 2: Friedrich-Alexander-Universität – Institute of Microwaves and Photonics, Erlangen, Germany; 3: ETH Zurich – Institute of Environmental Engineering, Zurich, Switzerland

Mapping of subsurface ice sheet structures in the Antartic dry snow and percolation zones with airborne P-band SAR data

Julius Kokholm, Jørgen Dall, Anders Kusk

Technical University of Denmark, Denmark

Antarctic BIOMASS Tomography: Preliminary Results

Francesco Banda¹, Jørgen Dall², Stefano Tebaldini³

1: aresys, Italy; 2: DTU, Denmark; 3: Politecnico di Milano, Italy

Investigating lake ice structure with polarimetric SAR tomography

Paloma Saporta^1,2, Matteo Pardini¹, Evan J. Wilcox³, Julia Boike^4,5, Irena Hajnsek^1,2

1: German Aerospace Center – Microwaves and Radar Institute, Wessling, Germany; 2: ETH Zurich – Institute of Environmental Engineering, Zurich, Switzerland; 3: University of Hamburg – Department of Earth System Sciences, Hamburg, Germany; 4: Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research – Permafrost Research Section, Potsdam, Germany; 5: Humboldt-Universität zu Berlin – Department of Geography, Berlin, Germany

Iceberg Detection using an iDPolRAD-SAR Deep Learning Pipeline.

Sonny Bailey¹, John Stott¹, Vahid Akbari², Armando Marino²

1: Lancaster University, United Kingdom; 2: University of Stirling, United Kingdom

Iceberg Thickness from BIOMASS Polarimetry

Georg Fischer¹, Jun Su Kim¹, Irena Hajnsek^1,2, Kostas Papathanassiou¹

1: German Aerospace Center (DLR), Germany; 2: ETH Zurich, Switzerland

Retrieval of Snow Water Equivalent Change Over Altay from Spaceborne L-band Lutan-1 InSAR data

Jingtian Zhou¹, Yang Lei¹, Jinmei Pan¹, Chuan Xiong², Jiancheng Shi¹, Zhenzhan Wang¹, Anmin Fu³

1: National Space Science Center Chinese Academy of Sciences 100190, Beijing, China; 2: Faculty of Geosciences and Engineering Southwest Jiaotong University 611756, Sichuan, China; 3: Academy of Forest and Grass Inventory and Planning National Forestry and Grass Administration 100714, Beijing, China

Multi-Frequency Dual-Polarization SAR Data For Plastic Marine Litter Identification

Giovanni Anconitano¹, Marco Polcari¹, Christian Bignami¹, Marina Locritani², Filippo Muccini², Silvia Merlino³, Marco Bianucci³, Ferdinando Nunziata⁴

1: Istituto Nazionale di Geofisica e Vulcanologia, Rome, Italy; 2: Istituto Nazionale di Geofisica e Vulcanologia, Lerici, Italy; 3: Consiglio Nazionale delle Ricerche, Istituto di Scienze Marine, Lerici, Italy; 4: Sapienza University of Rome, Department of Information Engineering, Electronics and Telecommunications, Rome, Italy

Preliminary Multi-frequency Wave Spectrum Analyses Using Sentinel-1, SAOCOM-1 and Biomass Observations Along the Coast

Yan Yuan, Owen O'Driscoll, Paco López-Dekker

Delft University of Technology, Netherlands, The

Single baseline Tomography with the PolInSAR two layer model

Alberto Alonso-Gonzalez¹, Carlos López-Martínez^1,2

1: Technical University of Catalonia (UPC), Spain; 2: Institut d'Estudis Espacials de Catalunya (IEEC), Spain

Layered Investigation of Wind-induced Forest Scattering Decorrelation for Tandem Satellites Tomo-SAR

Giulia Buttitta, Fabrizio Lombardini

University of Pisa, Dept. Information Eng., Italy

Model-free and High-Resolution 3D Imaging of Forests Using Moment-based SAR Tomography

Colin Cros¹, Laurent Ferro-Famil^1,2

1: ISAE Supaero, University of Toulouse, France; 2: CESBIO, University of Toulouse, France

Forest Structure Characterization Using Multi-Baseline SAR Tomography

Chumbitha Leena Nalla¹, Unmesh Khati¹, Shashi Kumar²

1: Indian Institute of Technology Indore, India; 2: Indian Institute of Remote Sensing, Dehradun

TomoSAR over forest: a deep learning perspective

Sergio Alejandro Serafin Garcia, Matteo Nannini, Gustavo Daniel Martin del Campo Becerra, Haensch Ronny, Reigber Andreas

German Aerospace Center, Germany