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Modeling AGBD GEDI L4B EarthEngine2

Modeling Forest Aboveground Biomass (AGB) density using GEDI and Sentinel (S1 and S2) Data in Earth Engine This tutorial will model forest AGB density using Global Ecosystem Dynamics Investigation (GEDI) L4B, Sentinel-1, Sentinel-2, SRTM elevation, and slope data. The GEDI L4B product provides 1 km x 1 km estimates of mean AGB density. We will use the random forest (RF) classifier to model forest AGB density in Earth Engine. Course, script, and blog post links https://aigeolabs.com/courses/course-... https://aigeolabs.com/modeling-forest... Websites and Data Portals for GEDI https://daac.ornl.gov/GEDI/guides/GED... https://gedi.umd.edu/ https://developers.google.com/earth-e... https://developers.google.com/earth-e... Reference Dubayah, R., J.B. Blair, S. Goetz, L. Fatoyinbo, M. Hansen, S. Healey, M. Hofton, G. Hurtt, J. Kellner, S. Luthcke, J. Armston, H. Tang, L. Duncanson, S. Hancock, P. Jantz, S. Marselis, P.L. Patterson, W. Qi, and C. Silva. 2020. The Global Ecosystem Dynamics Investigation: High-resolution laser ranging of the Earth’s forests and topography. Science of Remote Sensing 1:100002. https://doi.org/10.1016/j.srs.2020.10... Duncanson, L., J.R. Kellner, J. Armston, R. Dubayah, D.M. Minor, S. Hancock, et al. 2022. Aboveground biomass density models for NASA’s Global Ecosystem Dynamics Investigation (GEDI) lidar mission. Remote Sensing of Environment 270:112845. https://doi.org/10.1016/j.rse.2021.11... Patterson, P.L., S.P. Healey, G. Ståhl, S. Saarela, S. Holm, H.E. Andersen, R.O. Dubayah, L. Duncanson, S. Hancock, J. Armston, J.R. Kellner, W.B. Cohen, and Z. Yang. 2019. Statistical properties of hybrid estimators proposed for GEDI - NASA’s global ecosystem dynamics investigation. Environmental Research Letters 14:065007. https://doi.org/10.1088/1748-9326/ab18df