# Biomass Atlas

Sylvera — version 1.0

## Description

This dataset quantifies aboveground biomass density (Mg/ha) and forest canopy height (m) at 30 m spatial resolution, with global coverage annually from 2000 onwards. Pixel-level residual uncertainty is provided for each variable (± standard error).

## Summary

- **ID:** db67c6ad-a7e3-4374-8dd5-50fc0c17cd74
- **Type:** Raster
- **CRS:** EPSG:4326
- **Spatial coverage:** Global
- **Spatial resolution:** 30 m
- **Temporal coverage:** 2000+
- **Temporal resolution:** Annual

## Usage notes

New time points are delivered in Q1 for the previous year. Spatial coverage is limited to land surfaces between 81.8°N and 81.8°S, excluding ice sheets. The dataset uses seven region-specific canopy height models and twenty biome-specific biomass models.

## Variables

### aboveground_biomass_density
- **Type:** float32
- **Units:** Mg/ha
- **NoData:** NaN
Aboveground biomass density of dry matter in live woody vegetation on a per hectare basis. Data is generated using biome-specific non-linear regression models calibrated on allometric-free multi-scale LiDAR or GEDI L4A allometric-derived biomass data to convert canopy height values into aboveground biomass.

### aboveground_biomass_density_standard_error
- **Type:** float32
- **Units:** Mg/ha
- **NoData:** NaN
Standard error for aboveground biomass density variable.

### canopy_height
- **Type:** float32
- **Units:** m
- **NoData:** NaN
Canopy height of the 95th percentile of woody vegetation. Data is generated using region-specific machine learning models that predict GEDI canopy height data from a range of spaceborne remote sensing datasets.

### canopy_height_standard_error
- **Type:** float32
- **Units:** m
- **NoData:** NaN
Standard error for canopy height variable.

### aboveground_biomass_density_multiscale_lidar
- **Type:** uint8
- **NoData:** 255
Indicates whether multi-scale LiDAR (MSL) data or GEDI L4A data was used to calibrate aboveground biomass density models.

### first_observation
- **Type:** uint8
- **NoData:** 255
Offset in years from the year 2000 to first valid observation used in models.

### last_observation
- **Type:** uint8
- **NoData:** 255
Offset in years from the year 2000 to last valid observation used in models.

## Pricing

This dataset adds a new time point annually. A new subscription returns the full archive up to the most recent time point. Data acquisition costs are per hectare for the full archive:

| Volume | Price |
| --- | --- |
| GEDI-derived | $0.07 / ha |
| MSL-derived | $0.12 / ha |