Hansen Global Forest Change v1.3 (2000-2015) [deprecated]

UMD/hansen/global_forest_change_2015_v1_3
Dataset Availability
2000-01-01T00:00:00Z–2016-01-01T00:00:00Z
Dataset Provider
Earth Engine Snippet
ee.Image("UMD/hansen/global_forest_change_2015_v1_3")
Tags
forest
geophysical
landsat-derived
umd
hansen

Description

Results from time-series analysis of Landsat images in characterizing global forest extent and change.

The 'first' and 'last' bands are reference multispectral imagery from the first and last available years for Landsat spectral bands 3, 4, 5, and 7. Reference composite imagery represents median observations from a set of quality-assessed growing-season observations for each of these bands.

Please see the User Notes for this Version 1.3 update, as well as the associated journal article: Hansen, Potapov, Moore, Hancher et al. "High-resolution global maps of 21st-century forest cover change." Science 342.6160 (2013): 850-853.

Note that updated versions of this data are available. The newest version, Version 1.9 (produced with data through 2021), is available as UMD/hansen/global_forest_change_2021_v1_9.

Bands

Resolution
30.92 meters

Bands

Name Units Min Max Wavelength Description
treecover2000 % 0 100

Tree canopy cover for year 2000, defined as canopy closure for all vegetation taller than 5m in height.

loss

Forest loss during the study period, defined as a stand-replacement disturbance (a change from a forest to non-forest state).

gain

Forest gain during the period 2000-2012, defined as the inverse of loss (a non-forest to forest change entirely within the study period). Note that this has not been updated in subsequent versions.

first_b30 0.63-0.69µm

Landsat 7 band 3 (red) cloud-free image composite. Reference multispectral imagery from the first available year, typically 2000.

first_b40 0.77-0.90µm

Landsat 7 band 4 (NIR) cloud-free image composite. Reference multispectral imagery from the first available year, typically 2000.

first_b50 1.55-1.75µm

Landsat 7 band 5 (SWIR) cloud-free image composite. Reference multispectral imagery from the first available year, typically 2000.

first_b70 2.09-2.35µm

Landsat 7 band 7 (SWIR) cloud-free image composite. Reference multispectral imagery from the first available year, typically 2000.

last_b30 0.63-0.69µm

Landsat 7 band 3 (red) cloud-free image composite. Reference multispectral imagery from the last available year, typically the last year of the study period.

last_b40 0.77-0.90µm

Landsat 7 band 4 (NIR) cloud-free image composite. Reference multispectral imagery from the last available year, typically the last year of the study period.

last_b50 1.55-1.75µm

Landsat 7 band 5 (SWIR) cloud-free image composite. Reference multispectral imagery from the last available year, typically the last year of the study period.

last_b70 2.09-2.35µm

Landsat 7 band 7 (SWIR) cloud-free image composite. Reference multispectral imagery from the last available year, typically the last year of the study period.

datamask

Three values representing areas of no data, mapped land surface, and permanent water bodies.

lossyear 0 15

Year of gross forest cover loss event. A disaggregation of total forest loss to annual time scales. Encoded as either 0 (no loss) or else a value in the range 1-15, representing loss detected primarily in the year 2001-2015, respectively.

Terms of Use

Terms of Use

CC-BY-4.0

Citations

Citations:
  • 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 at: https://glad.earthengine.app/view/global-forest-change.

Explore with Earth Engine

Code Editor (JavaScript)

var dataset = ee.Image('UMD/hansen/global_forest_change_2015_v1_3');

var visualization = {
  bands: ['treecover2000'],
  min: 0.0,
  max: 100.0,
  palette: [
    '3d3d3d','080a02','080a02','080a02','106e12','37a930',
    '03ff17',
  ]
};

Map.setCenter(-60.5, -20.0, 2);

Map.addLayer(dataset, visualization, 'Tree Canopy Cover');
Open in Code Editor