GlobBiomass: Global Forest Biomass and Volume Estimates for 2010
by Maurizio Santoro
Available on 1 platform
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Description
2010 global raster datasets of forest biomass, comprising four layers: growing stock volume (GSV), above-ground biomass (AGB), and their respective per-pixel uncertainty estimates. The data was produced by Maurizio Santoro using spaceborne SAR, optical, LiDAR, and auxiliary datasets with multiple estimation procedures. GSV and AGB data are available as 40-degree by 40-degree tiles.
Use Cases
Modeling global carbon stocks based on above-ground biomass (AGB) estimates.
Assessing forest resource volume based on growing stock volume (GSV) data.
Quantifying uncertainty in biomass mapping based on the provided per-pixel standard error layers.
Integrating satellite-derived forest data for ecological and climate change studies.
Strengths
Provides four distinct global data layers: GSV, AGB, and their uncertainty estimates.
Derived from multiple spaceborne data sources including SAR, optical, and LiDAR.
Covers a global spatial extent with data available in 40-degree by 40-degree tiles.
Limitations
Data is from a single year (2010); temporal coverage is limited.
Column-level documentation is absent; field semantics must be inferred after download.
Last update date is unknown; freshness unverified.
Provenance
Source
Maurizio Santoro
Collection Method
Estimates obtained from spaceborne SAR (ALOS PALSAR, Envisat ASAR), optical (Landsat-7), LiDAR (ICESAT) and auxiliary datasets with multiple estimation procedures.