You're currently viewing an old version of this dataset. To see the current version, click here.

[dataset] Global Forest Change

Results from time-series analysis of Landsat images characterizing forest extent and change. Trees are defined as vegetation taller than 5m in height and are expressed as a percentage per output grid cell as ‘2000 Percent Tree Cover’. ‘Forest Cover Loss’ is defined as a stand-replacement disturbance, or a change from a forest to non-forest state, during the period 2000–2020. ‘Forest Cover Gain’ is defined as the inverse of loss, or a non-forest to forest change entirely within the period 2000–2012. ‘Forest Loss Year’ is a disaggregation of total ‘Forest Loss’ to annual time scales. Reference 2000 and 2019 imagery are median observations from a set of quality assessment-passed growing season observations.

yellow light

Data and Resources

Additional Info

Field Value
Identifier global-forest-change
Contact Point 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; University of Maryland, Department of geographical Science
Contact Point - ORCID iD or e-mail adress
Dataset DOI
Information Website;old=off;bl=off;lon=20;lat=10;zoom=3;
Theme / Vocabulary / Ontology
Coordinate Reference System
Spatial Resolution 30
Spatial Resolution Measured In meters
Temporal Coverage 2000-01-01 to 2020-12-31
Temporal Resolution annual
Data Quality Metric

User accuracy

  • value of quality metric:88
  • ground truth dataset:
  • confidence term:
  • confidence value:
  • thematic representativity:
  • spatial representativity:Boreal (FAO climate zone)
  • temporal representativity:
  • name of quality source:
  • type of quality source:
  • link to quality source:

    Is Version of

    Is Part of

    Was derived from

Last Updated January 25, 2022, 15:06 (UTC)
Created January 20, 2022, 11:20 (UTC)