Global Forest Change 2000-2024
This dataset provides maps of global tree cover extent, loss, and gain for the period from 2000 to 2024. The dataset is divided into 10x10 degree tiles with a spatial resolution of 1 arc-second per pixel, or approximately 30 meters per pixel at the equator. Derived from time-series analysis of Landsat images, the dataset includes information on:
<br><div>Tree canopy cover for year 2000 (treecover2000)
Tree cover in the year 2000, defined as canopy closure for all vegetation taller than 5m in height. Encoded as a percentage per output grid cell, in the range 0-100.
<br></div><div>Global forest cover gain (2000-2021) (gain)
Forest gain during the period 2000-2012, defined as the inverse of loss, or a non-forest to forest change entirely within the study period. Encoded as either 1 (gain) or 0 (no gain).
<br></div><div>Year of gross forest cover loss event (lossyear)
Forest loss during the period 2000-2024, defined as a stand-replacement disturbance, or a change from a forest to non-forest state. Encoded as either 0 (no loss) or else a value in the range 1-20, representing loss detected primarily in the year 2001-2024, respectively.
<br></div><div>Data mask (datamask)
Three values representing areas of no data (0), mapped land surface (1), and persistent water bodies (2) based on 2000-2012.
<br></div><div>Circa year 2000 Landsat 7 cloud-free image composite (first)
Reference multispectral imagery from the first available year, typically 2000. If no cloud-free observations were available for year 2000, imagery was taken from the closest year with cloud-free data, within the range 1999-2012.
<br></div><div>Circa year 2024 Landsat cloud-free image composite (last)
Reference multispectral imagery from the last available year, typically 2024. If no cloud-free observations were available for the year 2024, imagery was taken from the closest year with cloud-free data.</div>
Default
IdentificationAbout this resource
- Alternate Identifier
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37ed544d-6e02-411b-af7e-9df9e4384413
- Publication Date
- 2013-11-15
- Title
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Global Forest Change 2000-2024
- Short Name
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Global Forest Change
- Abstract
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This dataset provides maps of global tree cover extent, loss, and gain for the period from 2000 to 2024. The dataset is divided into 10x10 degree tiles with a spatial resolution of 1 arc-second per pixel, or approximately 30 meters per pixel at the equator. Derived from time-series analysis of Landsat images, the dataset includes information on:
<br><div>Tree canopy cover for year 2000 (treecover2000)
Tree cover in the year 2000, defined as canopy closure for all vegetation taller than 5m in height. Encoded as a percentage per output grid cell, in the range 0-100.
<br></div><div>Global forest cover gain (2000-2021) (gain)
Forest gain during the period 2000-2012, defined as the inverse of loss, or a non-forest to forest change entirely within the study period. Encoded as either 1 (gain) or 0 (no gain).
<br></div><div>Year of gross forest cover loss event (lossyear)
Forest loss during the period 2000-2024, defined as a stand-replacement disturbance, or a change from a forest to non-forest state. Encoded as either 0 (no loss) or else a value in the range 1-20, representing loss detected primarily in the year 2001-2024, respectively.
<br></div><div>Data mask (datamask)
Three values representing areas of no data (0), mapped land surface (1), and persistent water bodies (2) based on 2000-2012.
<br></div><div>Circa year 2000 Landsat 7 cloud-free image composite (first)
Reference multispectral imagery from the first available year, typically 2000. If no cloud-free observations were available for year 2000, imagery was taken from the closest year with cloud-free data, within the range 1999-2012.
<br></div><div>Circa year 2024 Landsat cloud-free image composite (last)
Reference multispectral imagery from the last available year, typically 2024. If no cloud-free observations were available for the year 2024, imagery was taken from the closest year with cloud-free data.</div>
- Dataset Language
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English
- Dataset Creator
- Dataset Creator
- Dataset Creator
- Dataset Creator
- Dataset Creator
- Dataset Creator
- Dataset Creator
- Dataset Creator
- Dataset Creator
- Dataset Creator
- Dataset Creator
- Dataset Creator
- Dataset Creator
- Dataset Creator
- Dataset Creator
- Metadata Provider
- Dataset Contact
- Keywords (None)
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Tree cover
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Forest gain
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Forest loss
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Forest change
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Geographic Coverage
- Geographic Description
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Global
Bounding Box
- West Bounding Coordinate
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-180
- East Bounding Coordinate
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180
- North Bounding Coordinate
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90
- South Bounding Coordinate
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-90
Bounding Altitudes
- Minimum
- Maximum
- Unit
Temporal Coverage
Range of Dates
- Begin Date
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2000-01-01
- End Date
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2024-12-31
resourceLicensesLicense Information
- Intellectual Rights
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This work is licensed under a Creative Commons Attribution 4.0 International License
Distribution
Online
- A brief description of the the content of online URL.
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Tree canopy cover for the year 2000
Distribution
Online
- A brief description of the the content of online URL.
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Global forest cover gain over the period 2000-2012
Distribution
Online
- A brief description of the the content of online URL.
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Year of gross forest cover loss event
Distribution
Online
- A brief description of the the content of online URL.
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Data mask for the period 2000-2012
Distribution
Online
- A brief description of the the content of online URL.
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Circa year 2000 Landsat 7 cloud-free image composite (first year)
Distribution
Online
- A brief description of the the content of online URL.
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Circa year 2024 Landsat cloud-free image composite (last year)
Project
• Project
- Title
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Global Forest Change 2000-2024
- Abstract
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The Global Land Analysis and Discovery (GLAD) laboratory at the University of Maryland, in partnership with Global Forest Watch (GFW), provides annually updated global-scale forest loss data, derived using Landsat time-series imagery. These data are a relative indicator of spatio-temporal trends in forest loss dynamics globally.
Personnel
- Organization Name
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University of Maryland
Individual Name
- Given Name
- Surname
- Position Name
Personnel
- Organization Name
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Global Forest Watch (GFW)
Individual Name
- Given Name
- Surname
- Position Name
Methods
• Method
Method Step
- Description
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The study analyzed global land areas (excluding Antarctica and some Arctic islands), covering 128.8 million km², equivalent to 143 billion Landsat 30m pixels. Trees were defined as vegetation taller than 5 meters. Forest loss was defined as a stand-replacement disturbance, while forest gain was the inverse of loss, or a non-forest to forest change. Gain was related to percent tree crown cover densities greater than 50% and reported as a 12 year total. Files are named as follows: Hansen_GFC-2024-v1.12_[variable_name]_[coordinate]_[coordinate].tif
- Citation
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Hansen, M. C., P. V. Potapov, R. Moore, M. Hancher, S. A. Turubanova, A. Tyukavina, D. Thau, S. V. Stehman, S. J. Goetz, T. R. Loveland, A. Kommareddy, A. Egorov, L. Chini, C. O. Justice, and J. R. G. Townshend. 2013. High-Resolution Global Maps of 21st-Century Forest Cover Change. Science 342 (15 November): 850-53. https://doi.org/10.1126/science.1244693.
Instrumentation
- Instrument
Software
- Title
- Version
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1.12
Data Tables
• Data Table
- Name
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treecover2000
Physical
Data Format
Externally Defined Format
- Format Name
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GeoTIFF
• Data Table
- Name
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gain
Physical
Data Format
Externally Defined Format
- Format Name
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GeoTIFF
• Data Table
- Name
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lossyear
Physical
Data Format
Externally Defined Format
- Format Name
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GeoTIFF
• Data Table
- Name
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datamask
Physical
Data Format
Externally Defined Format
- Format Name
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GeoTIFF
• Data Table
- Name
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first
Physical
Data Format
Externally Defined Format
- Format Name
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GeoTIFF
• Data Table
- Name
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last
Physical
Data Format
Externally Defined Format
- Format Name
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GeoTIFF