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Forest Aboveground Biomass Estimation with GEDI and ICESat-2 in Boreal Forests

Authors :
Laura Duncanson
Steven Hancock
Amy L. Neuenschwander
D. Minor
Paul Montesano
Joanne White
John Armston
Michael A. Wulder
Carlos A. Silva
Eric Guenther
Nathan Thomas
Source :
IGARSS
Publication Year :
2021
Publisher :
IEEE, 2021.

Abstract

Forest aboveground biomass is a key environmental variable needed for constraining models of the global carbon cycle, monitoring stocks and fluxes of carbon in forests, and optimizing forest management toward climate mitigation. To date, limited satellite data have been available that are sensitive to Aboveground Biomass Density (AGBD), and the availability of new satellite lidar data streams from NASA's Global Ecosystem Dynamics Investigation (GEDI) [1] and Ice Cloud and Elevation Satellite (ICESat-2) [2] enable a new generation of AGBD estimates representative of 2018–2022 conditions. Here we explore the transferability of GEDI's AGBD estimation framework to ICESat-2. We compare distribution of Relative Height (RH) metrics from both products between 50 and 52° N, and find that ICESat-2's RH metrics are biased high compared to GEDI. We reprocess ICESat-2 RH metrics to make them more comparable to GEDI height metrics, and present a comparison of biomass estimates based on the original and new ICESat-2 RH metrics in boreal forests.

Details

Database :
OpenAIRE
Journal :
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS
Accession number :
edsair.doi...........b19571f6651937618a033a9bc27ef817
Full Text :
https://doi.org/10.1109/igarss47720.2021.9553209