Forest Carbon Diligence

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About Forest Carbon Diligence

The Forest Carbon Diligence product is composed of a bundle of data resources: Canopy Height, Canopy Cover, and Aboveground Live Carbon at 30-meter spatial resolution. These data resources are produced annually over the entire landmass of the Earth (between 75° N and 60° S).

Discover samples of Forest Carbon Diligence, free to all active Planet users and Sentinel Hub users with a paid subscription: Sandbox Data for Forest Carbon Diligence.

Basic facts

Note: This chapter describes version 1.0 of the Forest Carbon Dligence product, which is currently supported by the Sentinel Hub Data Import API. For the newer version 1.1, which will be supported soon and is already available through the Planet Subscriptions API, please find the documentation here.

PropertyInfo
Spatial resolution30 m
SensorLiDAR (GEDI), Landsat 8, Sentinel 2, ALOS-PALSAR-2
Revisit timeAnnual
Spatial coverageGlobal
Data availabilityGlobal since 2013
Available measurementsCanopy Height, Canopy Cover, and Aboveground Live Carbon
Common usage/purposePlanet's Forest Carbon Diligence products quantify—globally and annually—how much carbon is stored in trees,the area occupied by trees, and how tall they are.

Planet documentation for Forest Carbon Diligence: https://developers.planet.com/docs/planetary-variables/forest-carbon-diligence/

Planet Product Specification for Forest Carbon Diligence: https://planet.widen.net/s/rv77kqctqw/planet-userdocumentation-forestcarbon

Subscribing to Forest Carbon Diligence

To subscribe to Forest Carbon Diligence, use the TPDI subscriptions endpoint or EO-Browser's Commercial Data tab with the following type and id values:

typeidDescription
forest_carbon_diligence_30 mCANOPY_HEIGHT_v1.0.0_30Height above ground in meters at 30 m spatial resolution, annual, archive to 2013 and is available through December 31, 2022.
forest_carbon_diligence_30 mCANOPY_COVER_v1.0.0_30Percent canopy cover at 30 m spatial resolution, annual, archive to 2013 and is available through December 31, 2022.
forest_carbon_diligence_30 mABOVEGROUND_CARBON_DENSITY_v1.0.0_30Aboveground live carbon density (Mg/ha) at 30 m spatial resolution, annual, archive to 2013 and is available through December 31, 2022.
forest_carbon_diligence_30 mDAY_OF_YEAR_v1.0.0_30Day of year (Julian day) pixel was observed by satellite at 30 m spatial resolution, annual, archive to 2013 and is available through December 31, 2022.

Available Bands

Canopy Height

NameDescriptionPhysical UnitResolutionSource FormatTypical RangeNo Data Value
CHCanopy height (CH) quantifies the average height of all vegetation in that pixel.Canopy height (m)30mUINT80-35+255
UC_Q05Uncertainty bounds (UC) estimate the 90% prediction interval for model predictions at each pixel. CC and CH uncertainty is derived from conformal inference.Canopy height (m)30mUINT80-35+255
UC_Q95Uncertainty bounds (UC) estimate the 90% prediction interval for model predictions at each pixel. CC and CH uncertainty is derived from conformal inference.Canopy height (m)30mUINT80-35+255
QAQuality assurance flags describing the expected quality of satellite data measurements, and whether any temporal gap-filling was applied.Quality Assurance (unitless)30mUINT80-222255

Canopy Cover

NameDescriptionPhysical UnitResolutionSource FormatTypical RangeNo Data Value
CCCanopy cover (CC) quantifies the horizontal area occupied by tree canopies that are > 5m tall.Canopy cover (%)30mUINT80-100255
UC_Q05Uncertainty bounds (UC) estimate the 90% prediction interval for model predictions at each pixel. CC and CH uncertainty is derived from conformal inference.Canopy cover (%)30mUINT80-100255
UC_Q95Uncertainty bounds (UC) estimate the 90% prediction interval for model predictions at each pixel. CC and CH uncertainty is derived from conformal inference.Canopy cover (%)30mUINT80-100255
QAQuality assurance flags describing the expected quality of satellite data measurements, and whether any temporal gap-filling was applied.Quality Assurance (unitless)30mUINT80-222255

Aboveground carbon density

NameDescriptionPhysical UnitResolutionSource FormatTypical RangeNo Data Value
ACDAboveground carbon density (ACD) quantifies the density of carbon stored in woody vegetation, primarily trees and shrubs. Grassland, herbaceous, and soil carbon stocks are not quantified.Above carbon density (Mg C ⋅ ha-1)30mINT160-300+32767
UC_Q05Uncertainty bounds (UC) estimate the 90% prediction interval for model predictions at each pixel. ACD uncertainty is derived from quantile regression.Above carbon density (Mg C ⋅ ha-1)30mINT160-300+32767
UC_Q95Uncertainty bounds (UC) estimate the 90% prediction interval for model predictions at each pixel. ACD uncertainty is derived from quantile regression.Above carbon density (Mg C ⋅ ha-1)30mINT160-300+32767
QAQuality assurance flags describing the expected quality of satellite data measurements, and whether any temporal gap-filling was applied.Quality Assurance (unitless)30mINT80-222255

Day of year

NameDescriptionPhysical UnitResolutionSource FormatTypical RangeNo Data Value
DOYDay of year for each pixel's satellite measurement.Julian Day30mINT161-3660 (usually means over water)

Examples

Subscribing to and visualizing Forest Carbon Diligence is similar to Soil Water Content, illustrated by this example.