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[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.

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Data and Resources

Additional Info

Field Value
Identifier global-forest-change
Documentation https://www.science.org/doi/10.1126/science.1244693
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 https://glad.earthengine.app/view/global-forest-change#dl=1;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

https://geokur-dmp.geo.tu-dresden.de/quality-register#UA

  • value of quality metric:87.0
  • ground truth dataset:
  • confidence term:standard deviation
  • confidence value:2.8
  • thematic representativity:Forest Loss
  • spatial representativity:
  • temporal representativity:2000-2012
  • name of quality source:Supplementary Materials for High-Resolution Global Maps of 21st-Century Forest Cover Change
  • type of quality source:supplement
  • link to quality source:https://www.science.org/doi/10.1126/science.1244693

User Accuracy

https://geokur-dmp.geo.tu-dresden.de/quality-register#UA

  • value of quality metric:76.4
  • ground truth dataset:
  • confidence term:standard deviation
  • confidence value:0.6
  • thematic representativity:Forest Gain
  • spatial representativity:
  • temporal representativity:2000-2012
  • name of quality source:Supplementary Materials for High-Resolution Global Maps of 21st-Century Forest Cover Change
  • type of quality source:supplement
  • link to quality source:https://www.science.org/doi/10.1126/science.1244693

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Last Updated March 15, 2022, 14:15 (UTC)
Created January 20, 2022, 11:20 (UTC)