Conference Agenda

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

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

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

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

Biomass Product Status at the start of Operations

Muriel Pinhero

European Space Agency (ESA), Italy

Biomass Opportunities and Challenges

Clément 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

1: Tor Vergata University of Rome, Italy; 2: Jet Propulsion Laboratory, California Institute of Technology

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

Calibration and Validation of ESA’s Biomass and NASA’s NISAR Missions Using UAVSAR and Lidar Data Sets in Africa, and Central and South America

Marc Simard, Yunling Lou, Richard Chen, Naiara Pinto

Jet propulsion Laboratory, California Institute of Technology, United States of America

Next TropiSAR-2 airborne campaign in support to BIOMASS Cal/Val

Jean-Francois Nouvel

ONERA, France

GEO-TREES: high-accuracy ground data for satellite-derived biomass mapping

Jerome Chave¹, Klaus Scipal², Cheryl Brown³, Stuart Davies³, Alvaro Duque⁴, Ayala Loisel¹, Beatriz Marimon⁵, Oliver L. Phillips⁶, Camille Piponiot-Laroche⁷, Lillian Rodriguez⁸, Irié Zo-Bi⁹

1: CNRS, Toulouse, France; 2: European Space Agency, Italy; 3: Smithsonian Institution, USA; 4: National University of Colombia, Colombia; 5: Universidade do Estado de Mato Grosso, Brazil; 6: University of Leeds, UK; 7: CIRAD, France; 8: University of the Philippines, the Philippines; 9: INPHB, Côte d'Ivoire

Quantifying propagation of uncertainty in biomass estimation across GEO-TREES sites

Arunima Singh¹, Samuel Grubinger², John L. Godlee⁴, Kim Calders¹, Mathias Disney³, Helene Muller Landau⁴, Stuart J. Davies⁴

1: University of Ghent, Belgium; 2: University of Maryland, USA; 3: Dept. of Geography, University College London, Gower Street, London, WC1E 6BT, UK; and NERC National Centre for Earth Observation, Gower Street, London, WC1E 6BT, UK.; 4: Smithsonian Tropical Research Institute, USA

Aboveground Biomass Reference Estimates Through Terrestrial Laser Scanning

Kim Calders¹, Louise Terryn¹, Martin Herold², Pasi Raumonen³, Tom Verhelst¹, Hans Verbeeck¹, Mathias Disney⁴

1: Ghent University, Belgium; 2: GFZ Helmholtz Centre for Geoscience, Germany; 3: Tampere University, Finland; 4: University College London, UK

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

ASSESSMENT OF CROPLAND SCATTERING MECHANISMS USING ADVANCED POLARIMETRIC DESCRIPTORS FROM UAVSAR NISAR-SIMULATED L-BAND SAR DATA

Ashmitha Nihar¹, Avik Bhattacharya¹, Abhinav Verma¹, Dipankar Mandal², Fabio Dell'Acqua³, Unmesh Khati⁴

1: Microwave Remote Sensing Lab, Indian Institute of Technology Bombay, Mumbai, India; 2: Agro-geoinformatics Laboratory,Indian Institute of Technology Guwahati, Assam, India; 3: Department of Electrical, Computer and Biomedical Eng., University of Pavia, Pavia, Italy; 4: Department of Astronomy, Astrophysics and Space Engineering, Indian Institute of Technology Indore, Indore, India

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,

Temporal Variability of P-band Backscatter over Tropical Rainforests : Insights of the TropiScat-2 experiment for Biomass Cal-Val activities

Ludovic Villard¹, Thierry Koleck², Laurent Ferro-Famil³, Thuy Le Toan⁴, Benoit Burban⁵, Damien Bonal⁶

1: CESBIO / CNRS, France; 2: CESBIO / CNES, France; 3: CESBIO / INSAE, France; 4: CESBIO / Globeo, France; 5: EcoFoG / INRAE, France; 6: SILVA / INRAE, France

Assessing the impact of canopy structure on modelled P-band radar backscatter for ESA BIOMASS calibration and validation

Wanxin Yang^1,2, Russell Thomas¹, Mathias Disney^1,2, Philip Lewis^1,2, Casey Ryan³, Steven Hancock^2,3, Reza M. Asiyabi³, Kyle Dexter³, John L. Godlee³, Nezha Acil^2,4, Mark R. Lomas⁵, Shaun Quegan^2,5

1: Department of Geography, University College London, United Kingdom; 2: National Centre for Earth Observation, United Kingdom; 3: School of GeoSciences, University of Edinburgh, United Kingdom; 4: School of Geography, Geology and the Environment, Centre for Landscape and Climate Research, University of Leicester, United Kingdom; 5: School of Mathematical and Physical Sciences, University of Sheffield, United Kingdom

Long-term impacts of forest degradation on biomass: Insights from P-band SAR

Stéphane Mermoz¹, Juan Doblas Prieto¹, Claudio Almeida², Thierry Koleck^3,4, Mariane Souza Reis², Laurent Ferro-Famil^3,5, Cassiano Gustavo Messias², Alexandre Bouvet³, Marta Bottani^3,4,5,6, Thuy Le Toan^1,3

1: GlobEO, Toulouse, France; 2: INPE, São José Dos Campos, Brazil; 3: CESBIO, Toulouse, France; 4: CNES, Toulouse, France; 5: ISAE-Supaéro, Toulouse, France; 6: TéSA, Toulouse, France

Large scale vegetation-atmosphere dynamics and interactions

Nuno Carvalhais¹, Hui Yang², Siyuan Wang¹

1: Max Planck Institute for Biogeochemistry, Germany; 2: College of Urban and Environmental Sciences, Peking University, Beijing 100871, China

Constraining Turnover Processes in Terrestrial Biosphere Model by Using L-/P-band Backscatter

Xu Shan, Sujan Koirala, Markus Zehner, Nuno Carvalhais

Max Planck Institute for Biogeochemistry, Germany