The following 4 publications cited the product GEDI L4B Gridded Aboveground Biomass Density, Version 2.
|2023||May, P., K.S. McConville, G.G. Moisen, J. Bruening, and R. Dubayah. 2023. A spatially varying model for small area estimates of biomass density across the contiguous United States. Remote Sensing of Environment. 286:113420. https://doi.org/10.1016/j.rse.2022.113420|
|2023||V.C. Oliveira, P., X. Zhang, B. Peterson, and J.P. Ometto. 2023. Using simulated GEDI waveforms to evaluate the effects of beam sensitivity and terrain slope on GEDI L2A relative height metrics over the Brazilian Amazon Forest. Science of Remote Sensing. 100083. https://doi.org/10.1016/j.srs.2023.100083|
|2022||Guo, Y., Y. Lin, W.Y. Chen, J. Ling, Q. Li, J. Michalski, and H. Zhang. 2022. New two-step species-level AGB estimation model applied to urban parks. Ecological Indicators. 145:109694. https://doi.org/10.1016/j.ecolind.2022.109694|
|2022||Zhang, S., Y. Chen, Y. Lu, H. Guo, X. Guo, C. Liu, X. Zhou, and Y. Zhang. 2022. Spatial variability and driving factors of soil multifunctionality in drylands of China. Regional Sustainability. 3(3):223-232. https://doi.org/10.1016/j.regsus.2022.10.001|