• Forest Gain

    Results from time-series analysis of Landsat images in characterizing global forest extent and change from 2000 through 2018. For additional information about these results, please see the associated journal article (Hansen et al., Science 2013). Year of gross forest cover loss event: 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).

    layer
  • cloudSource
    Hansen/UMD/Google/USGS/NASA
  • editSuggested 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. Data available on-line from: http://earthenginepartners.appspot.com/science-2013-global-forest.
  • extensionRelated tool or portal
    http://earthenginepartners.appspot.com/science-2013-global-forest
  • copyrightLicence
    Creative Commons Attribution 4.0 International License
  • av_timerDate or time period of observation
  • timerFrequency of update
    Frequency of updates not provided
  • mapGeographic coverage
    Global
  • tab_unselectedSpatial Resolution
    30 meters
  • extensionTechnical background
  • errorCautions
    This update of gross forest cover loss includes new 2018 loss-year and multispectral imagery layers. Relative to the version 1.0 product our method has been modified in numerous ways, and the new update should be seen as part of a transition to a future version 2.0 that is more consistent over the entire 2000-onward period. Key changes include: The use of Landsat 8 OLI data for 2013 onward, The reprocessing of data from 2011 onward in measuring loss, Improved training data for calibrating the loss model, Improved per sensor quality assessment models to filter input data, and Improved input spectral features for building and applying the loss model. These changes lead to a different and improved detection of global forest loss. However, the years preceding 2011 have not yet been reprocessed in this manner, and users will notice inconsistencies as a result. It must also be noted that a full validation of the results incorporating Landsat 8 has not been undertaken. Such an analysis may reveal a more sensitive ability to detect and map forest disturbance with Landsat 8 data. If this is the case then there will be a more fundamental limitation to the consistency of the mapped interannual loss before and after the inclusion of Landsat 8 data, and a validation of Landsat 8-incorporated loss detection is planned. The integrated use of version 1.0 2000–2012 data and updated version 1.6 2011–2018 data should be performed with caution.
  • dashboardRelated SDGs and targets
    GOAL 15: Life on land,
  • tocRelated Topics
    Climate, Environment, Biodiversity, Forests
  • share Embed it in your maps
        
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    layers: 'earthenginepartners-hansen/tiles/gfc_v1.4/gain_alpha',
    format: 'image/png',
    transparent: true,
    version: '1.1.0',
    attribution: "European Commission - Africa Knowledge Platform"
});
wms.addTo(map);
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