Quantifying Aboveground Biomass in the Continental U.S. Using GEDI Waveform Measurements
Wenge Ni-Meister, Hunter College of The City University of New York, wenge.ni-meister@hunter.cuny.edu (Presenter)
Alejandro Rojas, CUNY Hunter, alejandro.rojas99@myhunter.cuny.edu
The development of a physically-based biomass model that directly uses lidar waveform measurements represents a significant advancement in estimating aboveground biomass density (AGBD) at large scales. This approach minimizes the need for extensive ground calibration networks and provides a consistent approach to quantifying AGBD. The model has been tested and found to be accurate in temperate deciduous/conifer forests in the continental U.S. and tropical forests in Central Africa.
The model was applied to estimate AGBD at the continental U.S. using spaceborne Global Ecosystem Dynamics Investigation (GEDI) lidar waveform measurements. The key parameter in the model is based on the allometric relationships of tree height with stem diameter and crown volume with tree height. Two vegetation structure datasets were used to parameterize this parameter: the National Ecological Observatory Network (NEON) vegetation structure measurements in the U.S. and global structure measurements by Jucker et al., 2017.
The modeled biomass at each GEDI footprint was aggregated into the FIA hexagon scale and compared to the FIA AGBD measurements at the hexagon level across the whole continental U.S. The model significantly outperforms current GEDI AGBD products, demonstrating its capability to estimate AGBD at the continental scale using spaceborne GEDI waveform measurements. This approach has the potential to provide valuable information for forest management and carbon cycle studies.
Associated Project(s):
Poster Location ID: 2-18
Presentation Type: Poster
Session: Poster Session 2
Session Date: Wed (May 10) 5:15-7:15 PM
CCE Program: TE