Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
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Session Overview |
| Date: Tuesday, 27/Jan/2026 | |
| 9:00am - 10:40am |
Biomass Mission Status Location: Purple Hall Mission Overview European Space Agency-ESA, Netherlands, The 9:20am - 9:40am Mission Performance at the end of Commissioning phase ESA, Netherlands, The 9:40am - 10:00am Mission Planning, Orbit Performance and Potential Evolutions European Space Agency-ESA, Germany 10:00am - 10:20am Results from BIOMASS In-Orbit Commissioning analyses 1: aresys, Italy; 2: Politecnico di Milano, Italy 10:20am - 10:40am Evaluation of BIOMASS Radiometric Stability using Permanent Scatterers: first results from the commissioning phase 1: Politecnico di Milano, Italy; 2: Aresys S.r.l. |
| 10:40am - 11:10am |
Coffee Break |
| 11:10am - 12:50pm |
Biomass First Results I Location: Purple Hall Six+2 Months of BIOMASS in Orbit: Surprises and Challenges – A PolInSAR Perspective German Aerospace Center, DLR, Germany 11:30am - 11:50am Validating Global TEC Map by exploring BIOMASS polarimetric measurements German Aerospace Center, Germany 11:50am - 12:10pm On the role of ionospheric layering in BIOMASS interferometry: phenomenology and correction methods 1: Politecnico di Milano, Italy; 2: Aresys; 3: ESA ESRIN 12:10pm - 12:30pm Polarimetric and Interferometric Optimization of Ionospheric Calibration German Aerospace Center (DLR), Germany 12:30pm - 12:50pm A critical gap filled in temporal decorrelation: P-band radar stability enables tomographic mapping of the Amazon 1: INRAE, France; 2: TomoSAR, France; 3: LIST, Luxembourg; 4: CESBIO-GlobEO |
| 12:50pm - 2:10pm |
Lunch Break |
| 2:10pm - 3:50pm |
Biomass First Results II Location: Purple Hall Investigation of P-band interferometry using early BIOMASS data Gamma Remote Sensing AG, Switzerland 2:30pm - 2:50pm Polarimetric Effects in P-band Interferometric Phase Triplets 1: German Aerospace Center, DLR e.V., Germany; 2: ETH Zurich, Switzerland 2:50pm - 3:10pm Statistical Analysis of InSAR Closure Phases in Various Land Cover Conditions Using Sentinel-1 and Biomass Observations Delft University of Technology, Netherlands, The 3:10pm - 3:30pm BIOMASS 3D Reflectivity Reconstructions for Forest Structure Mapping: Early Mission Results German Aerospace Center (DLR), Germany 3:30pm - 3:50pm First Tomographic Results with BIOMASS 1: aresys, Italy; 2: Politecnico di Milano, Italy |
| 3:50pm - 4:20pm |
Coffee Break |
| 4:20pm - 6:00pm |
📌Poster Session Location: Lower Lobby Forest disturbance analysis of BIOMASS time-series in the Brazilian Amazon: comparison with Sentinel-1 and Sentinel-2 missions 1: CESBIO, Toulouse, France; 2: ISAE Supaero, Toulouse, France; 3: GlobEO, Toulouse, France; 4: CNES, Toulouse, France An Open-Source and Gpu Sar Polarimetric Processor for Ers-1/2 and Envisat 1: European Space Agency / Agence Spatiale Européenne, Italy; 2: Cloudflight, Austria; 3: SERCO, Italy; 4: Telespazio, UK; 5: Aresys, Italy BioMassQuilombo-Amazon: Participatory Calibration and Validation of ESA BIOMASS SAR 1: University of Manchester, United Kingdom; 2: ISAE-SUPAERO, University of Toulouse, France; 3: CESBIO, University of Toulouse, France; 4: GlobEO, France; 5: Biological and Environmental Sciences, University of Stirling, UK; 6: Faculty of Natural Sciences, University of Stirling, UK; 7: Instituto de Pesquisa Ambiental da Amazônia – IPAM, Brazil; 8: Instituto de Estudos Avançados– IEAv, Brazil, Brazil; 9: Instituto Tecnológico Vale– ITV, Brazil; 10: Instituto Nacional de Pesquisas da Amazônia – INPA, Brazil; 11: Department of Animal Science, Federal University of Roraima, Brazil; 12: Laboratório de Biologia Aquática (LABIA), Programa de Pós-Graduação em Biociências—Interunidades, Faculdade de Ciências e Letras de Assis, Universidade Estadual Paulista “Júlio de Mesquita Filho” (UNESP), Brazil; 13: Ecosystems & Landscape Evolution, Department of Environmental Systems Science, Institute of Terrestrial Ecosystems, Swiss Federal Institute of Technology, ETH Zurich, Switzerland; 14: Department of Landscape Dynamics & Ecology, Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Switzerland TWIST-NZ - Tree Water and Soil Moisture Integration for Satellite Calibration and Validation in New Zealand - Early BIOMASS results 1: German Aerospace Center (DLR), Microwaves and Radar Institute, Oberpfaffenhofen, Germany; 2: SCION Research, New Zealand; 3: University of Massachusetts Amherst, Northeast Climate Adaption Science Center, MA, USA; 4: University of Augsburg, Institute of Geography, Augsburg, Germany; 5: German Aerospace Center (DLR), Institute of Data Science, Jena, Germany; 6: Forschungszentrum Jülich, Institute of Bio- and Geosciences: Agrosphere (IBG-3), Jülich, Germany Multifrequency SAR applications for forest biomass retrieval: a machine learning approach 1: National Research Council – Institute of Applied Physics, Florence, Italy; 2: European Research Academy – Institute for Earth Observation, Bolzano, Italy Exploring Polarimetric Signatures for Geology: Anticipated Biomass Data Applications in the Gobi Desert, Mongolia Polish Geological Institute - National Research Institute, Poland A TWO-STAGE MACHINE LEARNING FRAMEWORK FOR CHARACTERIZING AND ADDRESSING SYSTEMATIC BIAS IN GLOBAL ABOVEGROUND BIOMASS PRODUCTS FOR TROPICAL FORESTS European Space Agency Evaluation of permanent scatterer interferometric phase based on atmospheric correction for ground-based radar Pusan National University/Geological sciences, Korea, Republic of (South Korea) Validation of DTM Derived from P-band SAR Under the Amazon Rainforest: from Airborne Surveys to the Biomass Perspective 1: UFPA, Brazil; 2: Lebanese University, Lebanon; 3: CESBIO, France; 4: UFRA, Brazil An Extension Of The MF3C Decomposition For PolSAR Data 1: Universitat d'Alacant, Spain; 2: China University of Geosciences, Wuhan, P.R. China; 3: China University of Mining and Technology, Xuzhou, P.R. China Underlying Terrain and Forest Height Retrieval Based on Lutan-1 L-Band Bistatic InSAR Phase Height Histograms 1: School of Electronics and Information, Northwestern Polytechnical University, Xi’an 710129, China; 2: National Space Science Center, Chinese Academy of Sciences, Beijing, 100190, China Dual-polarimetric scattering information for AGB modeling using NISAR Simulated data 1: Indian Institute of Technology Indore, India; 2: Indian Institute of Technology Bombay, India Algorithm Calibration Analysis of a Brazilian Amazon Forest Biomass Estimation Based on Satellite Data Extracted from Esa’s Biomass Project 1: Universidade de Aveiro, Portugal; 2: Universidade Federal da Paraiba, Brasil; 3: 6bios Environmental Technologies Europe, Portugal; 4: Universidade Federal de São Paulo, Brasil; 5: Universidade de Lisboa, Portugal A unified deep learning Model for despeckling in multi-modal polarimetricSARdata 1: Università di Napoli Parthenope, Italy; 2: University of Twente, The Netherlands Physical scattering model-based forest height retrieval Using Lutan-1 L-Band Bistatic Single-Baseline Single-Polarization InSAR Data 1: National Space Science Center, Chinese Academy of Sciences, China, People's Republic of; 2: University of Chinese Academy of Sciences, China, People's Republic of Multi-Stage Coherence-Polarization Fusion Modeling for Snow Depth and Snow Water Equivalent Estimation from Sentinel-1 Dual-Pol Data Indian Institute of Technology Bombay High-resolution Surface Soil Moisture Mapping from Time-series SAR over Agricultural Areas with Constraints of Coarse Resolution Microwave Observations 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 The prospect of synergistic above-ground biomass monitoring with BIOMASS, Sentinel-1, NISAR, and TanDEM-X SAR polarimetric and interferometric SAR data 1: Wageningen Environmental Research, Netherlands, The; 2: Forest Research Institute, Poland; 3: INIA-CIFOR, Spain; 4: MITECO, Spain; 5: European Space Agency, Italy Citizen Science Mobile App for Collecting Ground Data for the Cal/Val of the ESA Biomass Satellite The International Institute for Applied Systems Analysis (IIASA), Austria Forest height inversion using Hongtu-1 multi-static X-band SAR tomography Beihang University, China, People's Republic of Using Sentinel-1 Coherence Change as an Indicator of Forest Disturbances 1: Czech University of Life Sciences Prague; 2: TUD | Dresden University of Technology Towards a Foundation Model for Global Terrestrial 3D Above and Below Ground Carbon Stock Mapping (3D-ABC) 1: German Aerospace Centre, Microwaves and Radar Institute, Oberpfaffenhofen, Germany; 2: Alfred Wegener Institute for Polar and Marine Research, Potsdam, Germany; 3: Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany; 4: Jülich Supercomputing Centre, Forschungszentrum Jülich, Jülich, Germany; 5: Hemlholtz Centre for Geosciences, Potsdam, Germany; 6: Helmholtz Centre for Environmental Research, Leipzig, Germany The Role of Polarimetry in D-InSAR Retrievals of SWE on Glaciers 1: German Aerospace Center (DLR), Germany; 2: ETH Zürich, Switzerland Simulating Sub-daily Backscatter to Advance the Development of a SAR Mission for Vegetation Water, Carbon and Health 1: Delft University of Technology, The Netherlands; 2: Ghent University, Belgium Quantifying Forest Diversity through Spectral Metrics from PRISMA and Structural Information from BIOMASS P-band SAR 1: Mendel University in Brno, Faculty of Forestry and Wood Technology, Department of Forest Management and Applied Geoinformatics, Brno, Czechia; 2: Paris Lodron University of Salzburg, Faculty of Digital and Analytical Sciences, Department of Artificial Intelligence and Human Interfaces, Salzburg, Austria Potential of P-band BIOMASS data to estimate subsurface soil moisture in a semi-arid region of the southern Mediterranean 1: CRSA, Mohammed VI Polytechnic University, Ben Guerir, Morocco; 2: VPE, Swedish University of Agricultural Sciences, Umeå, Sweden Polarimetric Differential Entropy Analysis for Mapping Ancient Riverbeds in the BirsafSaf Region (Egypt) Using Multi-Sensor SAR Data 1: Private; 2: SONDRA, France Novel insights of the water cycle and flood dynamics using BIOMASS Cal/Val data 1: Luxembourg Institute of Science and Technology, Luxembourg; 2: INRAE; 3: Collecte Localisation Satellites MAPPING OF ACACIA XANTHOPHLOEA SPP USING SENTINEL 1 SINGLE LOOK COMPLEX AND MACHINE LEARNING APPROACHES Technical University of Kenya, Kenya Long Term Temporal Stability of Forest Scatterers at P-band: An Assessment based on Air- and Space-borne Data Sets 1: German Aerospace Center (DLR), Germany; 2: ETH Zurich Institute of Environmental Engineering, Switzerland; 3: Gabonese Agency for Space Studies and Observations (AGEOS) Integration of interferometric and polarimetric observables for permafrost characterization at P- and L-band 1: UiT The Arctic University of Norway, Norway; 2: Jet Propulsion Laboratory, California Institute of Technology; 3: NORCE Norwegian Research Centre AS Improving cotton yield and biomass prediction by assimilating SAR data into a modified crop growth model with simple calibration 1: Universitat Politècnica de Catalunya, Barcelona, Spain; 2: Wageningen Environmental Research, Wageningen, Netherlands Hybrid VAE–SOFM Speckle Filtering of Polarimetric SAR Data for Urban Forest Mapping Usha Mittal Institute of Technology, SNDT Women's University, Mumbai, India Global Coverage of Sentinel-1 InSAR and Spaceborne LiDAR: A Pathway to Data-Driven Forest Height Modeling 1: University of Twente, Netherlands,; 2: University of Parthenope, Italy; 3: Aalto University, Finland; 4: University of Helsinki, Helsinki FI-00014, Finland; 5: European Space Agency, ESRIN, Frascati, Italy Forest Vertical Profile Estimation Using SAR Tomography with L-band UAVSAR Datasets Imperial Collge London, United Kingdom Exploring Context Learning for SAR-Based Global Biomass Estimation: A Proof-of-Concept Using Sentinel-1 and ESA Biomass Mission Data CGI Italia, Frascati, Italy Evaluating Structural and Carbon Monitoring Potential of ESA’s BIOMASS Products Across Atlantic Forest Gradients 1: University of Sao Paulo (ESALQ), Brazil; 2: UFSCAR Estimation of AGB Density by Fusing PolInSAR, Sentinel-2, Dynamic World V1 and GEDI Data with Machine Learning in Pongara National Park, Gabon USTHB, Faculty of Electrical Engineering, Algeria Developing a UAV-SAR Measurement Concept for Diurnal Vegetation Water Monitoring 1: TUD Dresden University of Technology, Professorship in Environmental Remote Sensing, Dresden, Germany; 2: Czech University of Life Sciences, Prague, Czech Republic; 3: TUD Dresden University of Technology, Chair of Forest Sites and Hydrology, Dresden, Germany Detection of burnt area using dual polarimetric SAR data: the case study of May 2022 Stromboli wildfire Istituto Nazionale di Geofisica e Vulcanologia, Italy Detecting Reflection Symmetry in Polarimetric Synthetic Aperture Radar Imagery 1: Centre for Remote Imaging, Sensing and Processing, National University of Singapore, Singapore; 2: Department of Geography, National University of Singapore, Singapore Concealed Object Detection in Forested Areas Using PolTomoSAR with Various Baseline Configurations 1: ISAE-SUPAERO, University of Toulouse, France; 2: CESBIO, University of Toulouse, France Calibration and Validation of Aboveground Biomass Estimates from the ESA BIOMASS Mission Using Brazilian Atlantic Forest Plots University of São Paulo, Brazil BIOMASS height product validation using airborne laser scanning and field data over the Brazilian Amazon 1: National Institute for Space Research - INPE, São José dos Campos, SP 12227-010, Brazil; 2: European Space Agency - ESA, Frascati, RM 00044, Italy; 3: CTrees, Pasadena, CA 91105, USA; 4: Brazilian Forest Service - SFB, Brasília, DF 70818-900, Brazil; 5: University of Bristol, Bristol, BS8 1TQ, UK; 6: Technical University of Munich, Freising, 85354, Germany BIOMASS Cal/Val with forest inventory and UAV lidar data in the Peruvian rainforest 1: TUD Dresden University of Technology, Germany; 2: Wilderness International Assessing the potential of the BIOMASS mission for the Arctic Methane and Permafrost Challenge (AMPAC) b.geos, Austria Assessing Permafrost Coastal Erosion and Retrogressive Thaw Slumps through X-Band Interferometry and Environmental Covariate Analysis 1: University of Munich (LMU); 2: German Aerospace Center (DLR); 3: ETH Zurich Analysis of L- and P-band InSAR Histograms for Mapping Forest Structure 1: Sapienza University of Rome, Italy; 2: Jet Propulsion Laboratory, California Institute of Technology Analysis of Congo Basin rainforest regrowth trajectories by land use history 1: Ghent University; 2: Université catholique de Louvain Aboveground biomass global comparative analysis framework 1: GFZ Helmholtz Centre for Geosciences, Germany; 2: Wageningen University & Research, Netherlands A Novel Corner-Reflector Approach for Active Microwave Monitoring of Forest VOD 1: Dresden University of Technology (TUD); 2: Czech University of Life Sciences Prague (CZU) A DEM-Constrained and Multi-Orbit Fusion Approach for Forest Height Retrieval in Mountainous Areas Using SAOCOM L-Band PolInSAR Data 1: Chinese Academy of Sciences Aerospace Information Research Institute; 2: University of Chinese Academy of Sciences, School of Resources and Environmental Science; 3: College of Oceanography and Space Informatics, China University of Petroleum (East China) A Comparison of P- and C-band SAR Sensitivity for Ecosystem Mapping in the Brazilian Amazon 1: Paris Lodron University of Salzburg, Faculty of Digital and Analytical Sciences, Department of Artificial Intelligence and Human Interfaces, Salzburg, Austria; 2: Mendel University in Brno, Faculty of Forestry and Wood Technology, Department of Forest Management and Applied Geoinformatics, Brno, Czechia A comparison of dual-polarimetric SAR frameworks to advance inland water mapping 1: DepartmentSapienza - Università di Roma, Italy; 2: Istituto Nazionale di Geofisica e Vulcanologia; 3: Department of Engineering, Parthenope University of Naples Time-Series Analysis Of S-1 Coherence For Deforestation Mapping Across The Tropics Indian Institute of Technology Indore, Indore, 453552, India Exploit existing precise antenna structures to provide a monostatic backscattering Estec retired Netherlands, The Assimilation of Microwave Satellite-derived Vegetation Optical Depth within NUCAS For Improved Biomass Modelling 1: Nanjing University, China, People's Republic of; 2: University of Toronto Full and Hybrid polarimetric analysis on Lunar Surface using chandrayaan-2 DFSAR data Manipal Academy of Higher Education, India Geometry-driven extraction of forest vertical layers from single-polarized TomoSAR data 1: Department of Geoinformatics, Paris-Lodron University of Salzburg, Salzburg, Austria; 2: Antennas and Microwave Devices Laboratory, Ecole Militaire Polytechnique, Algiers, Algeria; 3: Department of Engineering, University of Naples "Parthenope", Naples, Italy Using Dual-Polarimetric information for Forest Above-Ground Biomass Estimation from Simulated NISAR data Indian Institute of Technology Indore, Bharat (India) Estimation of Low AGB Regions Using Sentinel-1 Backscatter: A Case Study of Managed Forest in India 1: Indian Institute of Technology Indore, India; 2: Indian Institute of Remote Sensing, Dehradun, India An Airborne P-band TomoSAR with GPU-Accelerated TDBP and Trajectory Error Correction: The Saihanba Forest Campaign, China 1: Wuhan University, Luoyu Road 129, Wuhan, 430079, China; 2: National Space Science Center, Chinese Academy Sciences, Beijing, 100190, China |
| 7:30pm - 10:00pm |
Celebrating Biomass |