CoFor-AGB: 1-km Resolution Aboveground Biomass for African Humid Tropical Forests

A 1-km resolution geospatial dataset of African humid tropical forests aboveground biomass derived from management inventories. The dataset is distributed as a GeoTIFF file with five layers, including mean biomass, plot count, and variance metrics. It was created by Pierre Ploton and described in a 2020 Scientific Data paper.

Use Cases

• Modeling forest carbon stocks based on mean aboveground biomass per pixel.
• Assessing data reliability for specific areas based on the number of field plots within each pixel.
• Analyzing temporal trends in biomass estimates based on the mean date of plot inventory.
• Quantifying uncertainty in biomass estimates based on inter-plot and intra-plot variance layers.

Strengths

• Provides five distinct data layers for comprehensive analysis, including mean biomass and variance metrics.
• Offers a high 1-kilometer spatial resolution for detailed regional mapping.
• Derived from field management inventories, suggesting a ground-truth component.

Limitations

• Column-level documentation is absent; field semantics for the five layers must be inferred from the description.
• Row count and total file size are unknown, which may limit suitability assessment for large-scale processing.
• Last update date is unknown; freshness unverified.

Provenance

Source

Pierre Ploton, associated with a 2020 Scientific Data paper.

Collection Method

Derived from management inventories.

Geography

African humid tropical forests.