Aboveground Biomass Stock and Change 10 m
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 10 m spatial resolution, with global coverage annually from 2017 onwards. Data includes pixel-level variable uncertainties (± standard error).
87251e55…Usage notes
New time points are delivered in Q1 for the previous year. Region-specific models are available for the Continental US, Africa, SE Asia, S Asia, temperate Asia, Europe, and Australia.
Variables
aboveground_biomass_change
Description
The annual change in aboveground biomass stock variable. Data is generated using a Bayesian time series approach applied to aboveground biomass pixel values.
Usage notes
Always missing for the first year of the period of interest.
aboveground_biomass_change_standard_error
Description
Standard error for the aboveground biomass change variable.
Usage notes
See aboveground biomass change variable.
aboveground_biomass_stock
Description
The total biomass stock of dry matter in live woody vegetation on a per hectare basis. 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. Values are calculated using custom allometric equations derived from full LiDAR-waveform data. Pixels displaying no statistically significant biomass change over the full temporal coverage are set to the median aboveground biomass value throughout.
aboveground_biomass_stock_standard_error
Description
Standard error for the aboveground biomass stock variable.
Usage notes
See aboveground biomass stock variable.
forest_area_degradation
Description
Indicates whether a forest pixel has lost aboveground biomass stock since the previous measurement date.
Usage notes
Always missing for the first year of the period of interest. Degradation is defined as a statistically significant reduction in aboveground biomass stock variable. Forest is defined using the FAO definition of forest (i.e. surface area > 0.5 ha, tree height > 5 m, canopy cover > 10%).
| Index | Name |
|---|---|
| 0 | No degradation |
| 1 | Degradation |
forest_area_gain
Description
Indicates whether a non-forest pixel has become a forest since the previous measurement date.
Usage notes
Always missing for the first year of the period of interest. Forest is defined using the FAO definition of forest (i.e. surface area > 0.5 ha, tree height > 5 m, canopy cover > 10%).
| Index | Name |
|---|---|
| 0 | No gain |
| 1 | Gain |
forest_area_loss
Description
Indicates whether a pixel has become non-forest since the previous measurement date.
Usage notes
Always missing for the first year of the period of interest. Forest is defined using the FAO definition of forest (i.e. surface area > 0.5 ha, tree height > 5 m, canopy cover > 10%).
| Index | Name |
|---|---|
| 0 | No loss |
| 1 | Loss |
forest_cover
Description
Indicates whether a pixel is forest.
Usage notes
Forest is defined using the FAO definition of forest (i.e. surface area > 0.5 ha, tree height > 5 m, canopy cover > 10%).
| Index | Name |
|---|---|
| 0 | Non-forest |
| 1 | Forest |
Pricing
This dataset adds a new time point annually. A data request returns the full archive up to the most recent time point. Data acquisition costs are per hectare for the full archive:
| Volume | Price |
|---|---|
| 10 - 10,000 ha | $0.50 / ha |
| 10,000 - 50,000 ha | $0.40 / ha after first 10,000 ha |
| 50,000 - 75,000 ha | $0.35 / ha after first 50,000 ha |
| > 75,000 ha | $0.30 / ha after first 75,000 ha |
Resources
Provider
Chloris
www.chloris.earthChloris is a forest data company based in Boston (US). Chloris aims to empower organisations with data to support forest conservation and restoration. Chloris offers forest data products and tailored nature data solutions.