Tree Cover

Areas of tree cover in 2000

  • Source: UMD/Google/USGS/NASA

This data set, a collaboration between the Global Land Analysis and Discovery (GLAD) lab at the University of Maryland, Google, the U.S. Geological Survey, and NASA, displays tree cover over all global land (except for Antarctica and a number of Arctic islands) for the year 2000 at 30 × 30 m resolution. This layer displays all vegetation greater than 5 m in height with >30% canopy density. Data in this layer were generated using multispectral satellite imagery from the Landsat 7 thematic mapper plus (ETM+) sensor. The clear surface observations from over 600,000 images were analyzed using Google Earth Engine, a cloud platform for Earth observation and data analysis, to determine per pixel tree cover using a supervised learning algorithm. Resource Watch shows only a subset of the data set. For access to the full data set and additional information, see the Learn More link.

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Formal name

Global Forest Change 2000–2016

Cautions

For the purpose of this study, “tree cover” was defined as all vegetation taller than 5 m in height. “Tree cover” is the biophysical presence of trees and may take the form of natural forests or plantations existing over a range of canopy densities.

Suggested citation

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. earthenginepartners.appspot.com/science-2013-global-forest. Accessed through Resource Watch, (date). www.resourcewatch.org.

Sources

University of Maryland (UMD)
Google
United States Geological Survey (USGS)
National Aeronautics and Space Administration (NASA)

Geographic coverage

Global

Spatial resolution

30 m

Date of content

2000

Frequency of updates

FAO updates Food Balance Sheet data on a yearly basis; as of publication the latest available data year was 2013.

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