# Forest Carbon Monitoring

Planet — version 1.0

## Description

This dataset quantifies aboveground live carbon density (Mg C/ha), canopy cover (%), and canopy height (m) of vegetation at 3.5 m spatial resolution. Data has global coverage and quarterly temporal resolution, available from 2021 onwards. Data includes pixel-level variable uncertainties (90% prediction intervals).

## Summary

- **ID:** 4d8bd6ba-b751-4c46-8e70-5000e6d8b212
- **Type:** Raster
- **CRS:** EPSG:4326
- **Spatial coverage:** Global
- **Spatial resolution:** 3.5 m
- **Temporal coverage:** 2021+
- **Temporal resolution:** Quarterly

## Usage notes

Each quarter (Dec-Mar, Mar-Jun, Jun-Sep, Sep-Dec) runs from the 21st to the 20th day of start and end months. Time points are labelled with the first day of the quarter, so 2026-03-21 is the Mar-Jun 2026 quarter. New quarters are delivered within a few days after quarter end. Spatial coverage is limited to land surfaces between 76°N and 56°S. In urban areas, double-bounce radar backscatter among buildings may result in over-predictions. Circular spatial artefacts can lead to temporal differences between adjacent pixels. Models are linearly downscaled from the 30 m Diligence dataset models, so variables are consistent among the two datasets. Original 30 m aboveground live carbon density predictions are not included.

## AOI constraints

- **AOI area:** ≤ 500,000 ha
- **Vertices:** ≤ 1,500
- **Latitude:** 56°S – 76°N
- **Geometry:** Polygon, MultiPolygon

## Variables

### aboveground_live_carbon_density
- **Type:** int16
- **Units:** Mg C/ha
- **NoData:** 32767
Density of carbon stored in live woody vegetation on a per hectare basis. Data is generated using LightGBM regression models trained to predict GEDI L4A aboveground biomass carbon from modelled canopy height, modelled canopy cover, elevation, and location.

### aboveground_live_carbon_density_lower_bound
- **Type:** int16
- **Units:** Mg C/ha
- **NoData:** 32767
90% prediction interval lower bound for aboveground live carbon density variable.

### aboveground_live_carbon_density_upper_bound
- **Type:** int16
- **Units:** Mg C/ha
- **NoData:** 32767
90% prediction interval upper bound for aboveground live carbon density variable.

### canopy_cover
- **Type:** uint8
- **Units:** %
- **NoData:** 255
Relative cover of trees. Data is generated using U-Net image regression models trained to predict > 9 million km² of airborne LiDAR data from a combination of spaceborne remote sensing datasets.

### canopy_cover_lower_bound
- **Type:** uint8
- **Units:** %
- **NoData:** 255
90% prediction interval lower bound for canopy cover variable.

### canopy_cover_upper_bound
- **Type:** uint8
- **Units:** %
- **NoData:** 255
90% prediction interval upper bound for canopy cover variable.

### canopy_height
- **Type:** uint8
- **Units:** m
- **NoData:** 255
Average height (m) of trees. Data is generated using U-Net image regression models trained to predict > 9 million km² of airborne LiDAR data from a combination of spaceborne remote sensing datasets.

### canopy_height_lower_bound
- **Type:** uint8
- **Units:** m
- **NoData:** 255
90% prediction interval lower bound for canopy height variable.

### canopy_height_upper_bound
- **Type:** uint8
- **Units:** m
- **NoData:** 255
90% prediction interval upper bound for canopy height variable.

## Pricing

This dataset adds a new time point quarterly. A new subscription returns the full archive up to the most recent time point and creates a one-year subscription to future time points. Data acquisition costs are per hectare:

| Volume | Price |
| --- | --- |
| Any | $0.25/ha |