Description
This dataset quantifies tree cover (%) in the year 2000, forest gain (Y/N) 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
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
Version
1.12
Release date
December 2024
CRS
EPSG:4326
Update schedule
Provider cost
$0.00/ha
Description
Tree cover quantifies the canopy cover (%) of trees in each pixel for the year 2000. The 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.
Variable category
Canopy cover
Variable type
Continuous
Description
Forest gain indicates whether a pixel shifted from a non-forest (0) to forest (1) state over the period 2000-2012. The 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
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.
Variable category
Forest cover
Variable type
Categorical