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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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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)