2025-09-19, 11:05–11:50 (UTC), Aula 2 (workshops)
Accurate global forest aboveground biomass (AGB) mapping is important for reducing the uncertainties in terrestrial carbon sink assessments. Current global approaches for AGB mapping, such as ESA CCI Biomass maps, rely on methods that are globally optimized; thus, they may result in lower performance when evaluated in specific regions. In this workshop, we aim to present the cloud-optimized and quality-filtered GEDI point observations and analyze how they can contribute to improved global biomass mapping. The outcomes of the workshop will help identify potential improvements to the datasets and define future experimentation to assess their contribution to AGB mapping.
The workshop will start with a presentation of the OEMC high-quality GEDI point dataset. Then, the OEMC Stakeholder, Gamma Remote Sensing, will present their global and regional AGB activities and requirements for the satellite LiDAR data. The workshop will conclude with a discussion about the presented OEMC GEDI dataset and define future directions of the experimentation.
Open-Earth-Monitor Cyberinfrastructure (Grant agreement ID: 101059548)
Johannes is a research associate at ifgi, University of Münster, and leads the air quality monitor within OEMC. His interests include spatial data science and EO for forest applications. In his PhD he studies wildfire hazard in Germany.
I am a research assistant / geoinformatician focusing on lidar processing, machine learning on terrain and vegetation height modeling. I am also working on cloud-native vector data format and functionality development.