Description
This dataset quantifies the aboveground biomass change (Mg/ha/y), aboveground biomass stock (Mg/ha), forest cover, forest area degradation, forest area gain, and forest area loss at 30 m spatial resolution, with global coverage annually from 2000 onwards. For each pixel, data includes variable uncertainties (± standard error).
Usage notes
Spatial coverage is limited to land surfaces between 51°N and 51°S. Region-specific models are available for the Continental US, Africa, SE Asia, S Asia, temperate Asia, Europe, and Australia.
Licence
Commercial
Version
0.0
Release date
2024
CRS
Tile-specific (UTM-based)
Update schedule
Q1 for previous year
Provider cost
$0.09/ha
Description
Aboveground biomass change quantifies the annual change in aboveground biomass stock (Mg/ha/y). The data is generated using a Bayesian time series approach applied to aboveground biomass pixel values.
Usage notes
Always NA for the first year of the period of interest.
Variable category
Aboveground biomass
Variable type
Continuous
Description
Aboveground biomass stock quantifies the total biomass stock (Mg/ha) of dry matter in live woody vegetation in each pixel on a per hectare basis. The data is generated using machine learning models trained on field plot data and a variety of spaceborne remote sensing datasets.
Usage notes
Calculations are restricted to live woody aboveground biomass, so exclude herbaceous plants, non-woody tissues, and deadwood or litter. Aboveground biomass values are calculated using custom allometric equations derived from full LiDAR-waveform data. Pixels displaying no statistically significant biomass change over the full temporal extent are set to the median aboveground biomass value throughout.
Variable category
Aboveground biomass
Variable type
Continuous