Summary

Description This dataset quantifies tree cover (%) in the year 2000, forest gain from 2000 to 2012, and, if present, the year of forest loss from the year 2000 onwards. Data has global coverage at 30 m spatial resolution.
Usage notes New time points are delivered approximately annually. Ongoing improvements in Landsat sensors, land data availability, and algorithms may create inconsistencies in forest change metrics. Consider computing three-year moving averages, where appropriate. This dataset is not proven for rigorous area-based deforestation analysis (e.g. for EUDR).
Licence Open
CRS EPSG:4326
Version 1.12
Release date December 2024

Variables

tree_cover

Description The canopy cover of trees for the year 2000. Data is generated using a decision tree trained to predict high resolution imagery and existing tree cover layers from Landsat 7 (2000+), Landsat 8 (2013+), and Landsat 9 (2022+) data.
Usage notes Tree is defined as vegetation > 5 m height.
Type uint8
Units %

forest_gain

Description Indicates whether a pixel shifted from a non-forest to forest over the period 2000-2012. Data is generated using a decision tree trained to predict high resolution imagery and existing tree cover layers from Landsat 7 (2000+), Landsat 8 (2013+), and Landsat 9 (2022+) data.
Usage notes Values are shift to forest (1) or not (0). Forest is defined as a pixel with > 50% tree cover. Reported global and per-biome accuracy is > 99%. Variable has not been updated since v1.0.
Type uint8

loss_year

Description The year a forest pixel became non-forest, Data is generated using a decision tree trained to predict high resolution imagery and existing tree cover layers from Landsat 7 (2000+), Landsat 8 (2013+), and Landsat 9 (2022+) data.
Usage notes Values are as either 0 (no loss) or a value of 1+ (loss in year 2001+). Forest loss is defined as stand-replacement disturbance or shift from forest to non-forest state. Reported global and per-biome accuracy is > 99%. Forest loss does not consider forest degradation (e.g. no change to non-forest state). This dataset version includes reprocessing of loss data from 2011 onwards, possibly leading to inconsistencies before and after this year.
Type uint8

data_mask

Description Indicates whether a pixel is land or a permanent water body for the period 2000-2012.
Usage notes Values are no data (0), land surface (1), or permanent water body (2).
Type uint8

Snowflake access