Biomass Distribution Mapping of Boreal Forests using GEDI, Sentinel-2, and SRTM Data

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Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1. 1Regionally trained models for mapping aboveground biomass from Remote Sensing data fusion: a comparison of the capabilities of Machine Learning in 4 different biomes.2024
2. 2Forest aboveground biomass estimation through integration of sentinel-2 and PALSAR-2 time series: assessing models trained on GEDI and field inventory benchmarks2026 · 2 citations
3. 3Tropical forest biomass assessment using LIDAR, DEM, and Sentinel-2 in the Daintree forest2026
4. 4Sensitivity of Spaceborne LiDAR, Optical, and SAR Features for Forest Biomass Modelling: A GEDI–Sentinel-2–SAOCOM Analysis2026
5. 5Aboveground biomass mapping and uncertainty estimation in tropical forests using machine learning with multispectral and SAR data2026