# Biomass Atlas

Sylvera — version 2.1

## 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 standard error is provided for both variables. Landsat green period composite reflectance bands and quality assurance layers describing gap filling, observation availability, and model calibration source are also included.

## 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.

Quality assurance layers describing model calibration source, observation availability, and green period definition are time-invariant and are delivered without a time dimension.

Documentation for version 1.0 of this dataset is available in the Resources section.

## AOI constraints

- **AOI area:** ≤ 500,000 ha
- **Geometry:** Polygon, MultiPolygon

## Variables

### above_ground_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.

### above_ground_biomass_density_residual_standard_error
- **Type:** float32
- **Units:** Mg/ha
- **NoData:** NaN
Residual standard error for above ground biomass density variable.

### above_ground_biomass_multiscale_lidar
- **Type:** int8
- **Units:** %
- **NoData:** -1
Percentage contribution that multi-scale LiDAR (MSL) based biomass models made to reported above ground 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_raw
- **Type:** float32
- **Units:** m
- **NoData:** NaN
Canopy height of the 95th percentile of woody vegetation, without post-processing applied.

### canopy_height_residual_standard_error
- **Type:** float32
- **Units:** m
- **NoData:** NaN
Residual standard error for canopy height variable.

### computed
- **Type:** uint8
Indicates whether data has been materialised for a pixel.

### first_observation
- **Type:** int8
- **NoData:** -1
Offset in years from 2000-01-01 to first observation considered in fitting the canopy height time series for a pixel.

### gap_type
- **Type:** int8
- **NoData:** -1
Index indicating where gaps have been filled during canopy height post-processing.

### last_observation
- **Type:** int8
- **NoData:** -1
Offset in years from 2000-01-01 to last observation considered in fitting the canopy height time series for a pixel.

### start_day
- **Type:** int16
- **NoData:** -1
Day of year of the start of the green period, inclusive, which defines the temporal window of scenes that can contribute to the Landsat composites.

### end_day
- **Type:** int16
- **NoData:** -1
Day of year of the end of the green period, inclusive, which defines the temporal window of scenes that can contribute to the Landsat composites.

### median_observation_doy
- **Type:** int16
- **NoData:** -1
Median day of year of observations that contributed to the Landsat green period composite.

### number_of_observations
- **Type:** int16
- **Units:** count
- **NoData:** -1
Number of valid scenes that contributed to the Landsat green period composite.

### blue
- **Type:** float32
- **NoData:** NaN
- **Scale:** 0.0000275
- **Offset:** -0.2
Landsat green period composite band 2 (blue) surface reflectance.

### green
- **Type:** float32
- **NoData:** NaN
- **Scale:** 0.0000275
- **Offset:** -0.2
Landsat green period composite band 3 (green) surface reflectance.

### red
- **Type:** float32
- **NoData:** NaN
- **Scale:** 0.0000275
- **Offset:** -0.2
Landsat green period composite band 4 (red) surface reflectance.

### nir08
- **Type:** float32
- **NoData:** NaN
- **Scale:** 0.0000275
- **Offset:** -0.2
Landsat green period composite band 5 (near infrared) surface reflectance.

### swir16
- **Type:** float32
- **NoData:** NaN
- **Scale:** 0.0000275
- **Offset:** -0.2
Landsat green period composite band 6 (shortwave infrared 1) surface reflectance.

### swir22
- **Type:** float32
- **NoData:** NaN
- **Scale:** 0.0000275
- **Offset:** -0.2
Landsat green period composite band 7 (shortwave infrared 2) surface reflectance.

## 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 |