Satellite LiDAR Data in Support of Forest Biomass Mapping
Johannes Heisig, Milutin Milenkovic, Yu-Feng Ho, Maurizio Santoro
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.
