Data mask (datamask)\nThree values representing areas of no data (0), mapped land surface (1), and persistent water bodies (2) based on 2000-2012.\n
Circa year 2000 Landsat 7 cloud-free image composite (first)\nReference multispectral imagery from the first available year, typically 2000. If no cloud-free observations were available for year 2000, imagery was taken from the closest year with cloud-free data, within the range 1999-2012.\n
<\/div>
Circa year 2024 Landsat cloud-free image composite (last)\nReference multispectral imagery from the last available year, typically 2024. If no cloud-free observations were available for the year 2024, imagery was taken from the closest year with cloud-free data.<\/div>"],
"keywordSet": {
"keyword": [
"Tree cover",
"Forest gain",
"Forest loss",
"Forest change"
],
"keywordThesaurus": "None"
},
"intellectualRights": ["This work is licensed under a Creative Commons Attribution 4.0 International License"],
"license": {
"licenseName": "Creative Commons CC0",
"url": "https://creativecommons.org/licenses/by/4.0/",
"acknowledgements": [[]]
},
"distribution": [
{
"onlineDescription": "Tree canopy cover for the year 2000",
"url": "https://storage.googleapis.com/earthenginepartners-hansen/GFC-2024-v1.12/treecover2000.txt"
},
[ {
"onlineDescription": "Global forest cover gain over the period 2000-2012",
"url": "https://storage.googleapis.com/earthenginepartners-hansen/GFC-2024-v1.12/gain.txt"
}],
[ {
"onlineDescription": "Year of gross forest cover loss event",
"url": "https://storage.googleapis.com/earthenginepartners-hansen/GFC-2024-v1.12/lossyear.txt"
}],
[ {
"onlineDescription": "Data mask for the period 2000-2012",
"url": "https://storage.googleapis.com/earthenginepartners-hansen/GFC-2024-v1.12/datamask.txt"
}],
[ {
"onlineDescription": "Circa year 2000 Landsat 7 cloud-free image composite (first year)",
"url": "https://storage.googleapis.com/earthenginepartners-hansen/GFC-2024-v1.12/first.txt"
}],
[ {
"onlineDescription": "Circa year 2024 Landsat cloud-free image composite (last year)",
"url": "https://storage.googleapis.com/earthenginepartners-hansen/GFC-2024-v1.12/last.txt"
}]
],
"coverage": {
"geographicCoverage": {
"geographicDescription": "Global",
"boundingCoordinates": {
"westBoundingCoordinate": "-180",
"eastBoundingCoordinate": "180",
"northBoundingCoordinate": "90",
"southBoundingCoordinate": "-90",
"boundingAltitudes": {
"altitudeMinimum": [],
"altitudeMaximum": [],
"altitudeUnits": []
}
}
},
"temporalCoverage": [ {
"beginDate": ["2000-01-01"],
"endDate": ["2024-12-31"]
}]
},
"contact": {
"organizationName": "University of Maryland",
"individualName": {
"givenName": "Matthew",
"surName": "Hansen"
},
"positionName": "Professor",
"electronicMailAddress": "mhansen@umd.edu",
"userId": []
},
"methods": [ {
"description": ["The study analyzed global land areas (excluding Antarctica and some Arctic islands), covering 128.8 million km², equivalent to 143 billion Landsat 30m pixels. Trees were defined as vegetation taller than 5 meters. Forest loss was defined as a stand-replacement disturbance, while forest gain was the inverse of loss, or a non-forest to forest change. Gain was related to percent tree crown cover densities greater than 50% and reported as a 12 year total. Files are named as follows: Hansen_GFC-2024-v1.12_[variable_name]_[coordinate]_[coordinate].tif"],
"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. https://doi.org/10.1126/science.1244693."],
"instrumentation": [[[]]],
"software": {
"title": [],
"version": "1.12"
}
}],
"project": {
"title": "Global Forest Change 2000-2024",
"abstract": ["The Global Land Analysis and Discovery (GLAD) laboratory at the University of Maryland, in partnership with Global Forest Watch (GFW), provides annually updated global-scale forest loss data, derived using Landsat time-series imagery. These data are a relative indicator of spatio-temporal trends in forest loss dynamics globally."],
"personnel": [
{
"organizationName": "University of Maryland",
"individualName": {
"givenName": [],
"surName": []
},
"positionName": []
},
{
"organizationName": "Global Forest Watch (GFW)",
"individualName": {
"givenName": [],
"surName": []
},
"positionName": []
}
]
},
"dataTable": [
{
"entityName": "treecover2000",
"physical": [[["GeoTIFF"]]]
},
{
"entityName": "gain",
"physical": [[["GeoTIFF"]]]
},
{
"entityName": "lossyear",
"physical": [[["GeoTIFF"]]]
},
{
"entityName": "datamask",
"physical": [[["GeoTIFF"]]]
},
{
"entityName": "first",
"physical": [[["GeoTIFF"]]]
},
{
"entityName": "last",
"physical": [[["GeoTIFF"]]]
}
]
}
}