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ForestCover_lossyear_density (ImageServer)

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Service Description: This data set provides a disaggregation of total forest loss to annual time scales. Encoded as either 0 (no loss) or else a value in the range 1–14, representing loss detected primarily in the year 2001–2014, respectively. This global dataset contain unsigned 8-bit values and have a spatial resolution of 1 arc-second per pixel, or approximately 30 meters per pixel at the equator. Quantification of global forest change has been lacking despite the recognized importance of forest ecosystem services. In this data, Earth observation satellite data were used to map global forest loss (2.3 million square kilometers) and gain (0.8 million square kilometers) from 2000 to 2012 at a spatial resolution of 30 meters. The tropics were the only climate domain to exhibit a trend, with forest loss increasing by 2101 square kilometers per year. Brazil’s well-documented reduction in deforestation was offset by increasing forest loss in Indonesia, Malaysia, Paraguay, Bolivia, Zambia, Angola, and elsewhere. Intensive forestry practiced within subtropical forests resulted in the highest rates of forest change globally. Boreal forest loss due largely to fire and forestry was second to that in the tropics in absolute and proportional terms. These results depict a globally consistent and locally relevant record of forest change. Results from time-series analysis of 654,178 Landsat 7 ETM+ images in characterizing global forest extent and change from 2000 through 2012. For additional information about these results, please see the associated journal article (http://www.sciencemag.org/content/342/6160/850) (Hansen et al., Science 2013). Reference composite imagery are median observations from a set of quality assessed growing season observations in four spectral bands, specifically Landsat bands 3, 4, 5, and 7. Normalized top-of-atmosphere (TOA) reflectance values (ρ) have been scaled to an 8-bit data range using a scale factor (g): DN = ρ • g + 1. The g factor was chosen independently for each band to preserve the band-specific dynamic range: Landsat Band: g, Band 3 (red): 508, Band 4 (NIR): 254, Band 5 (SWIR): 363, and Band 7 (SWIR): 423.

Name: ForestCover_lossyear_density

Description: This data set provides a disaggregation of total forest loss to annual time scales. Encoded as either 0 (no loss) or else a value in the range 1–14, representing loss detected primarily in the year 2001–2014, respectively. This global dataset contain unsigned 8-bit values and have a spatial resolution of 1 arc-second per pixel, or approximately 30 meters per pixel at the equator. Quantification of global forest change has been lacking despite the recognized importance of forest ecosystem services. In this data, Earth observation satellite data were used to map global forest loss (2.3 million square kilometers) and gain (0.8 million square kilometers) from 2000 to 2012 at a spatial resolution of 30 meters. The tropics were the only climate domain to exhibit a trend, with forest loss increasing by 2101 square kilometers per year. Brazil’s well-documented reduction in deforestation was offset by increasing forest loss in Indonesia, Malaysia, Paraguay, Bolivia, Zambia, Angola, and elsewhere. Intensive forestry practiced within subtropical forests resulted in the highest rates of forest change globally. Boreal forest loss due largely to fire and forestry was second to that in the tropics in absolute and proportional terms. These results depict a globally consistent and locally relevant record of forest change. Results from time-series analysis of 654,178 Landsat 7 ETM+ images in characterizing global forest extent and change from 2000 through 2012. For additional information about these results, please see the associated journal article (http://www.sciencemag.org/content/342/6160/850) (Hansen et al., Science 2013). Reference composite imagery are median observations from a set of quality assessed growing season observations in four spectral bands, specifically Landsat bands 3, 4, 5, and 7. Normalized top-of-atmosphere (TOA) reflectance values (ρ) have been scaled to an 8-bit data range using a scale factor (g): DN = ρ • g + 1. The g factor was chosen independently for each band to preserve the band-specific dynamic range: Landsat Band: g, Band 3 (red): 508, Band 4 (NIR): 254, Band 5 (SWIR): 363, and Band 7 (SWIR): 423.

Single Fused Map Cache: false

Extent: Initial Extent: Full Extent: Pixel Size X: 27.829872698318393

Pixel Size Y: 27.829872698318393

Band Count: 1

Pixel Type: U8

RasterFunction Infos: {"name":"ForestCover_lossyear_density","description":"A raster function template.","help":""}, {"name":"None","description":"","help":""}

Mensuration Capabilities: None

Has Histograms: true

Has Colormap: false

Has Multi Dimensions : false

Rendering Rule:

Min Scale: 0

Max Scale: 0

Copyright Text: Source: Hansen/UMD/Google/USGS/NASA

Service Data Type: esriImageServiceDataTypeGeneric

Min Values: 1

Max Values: 14

Mean Values: 7.906844709886465

Standard Deviation Values: 4.117854528516749

Object ID Field: OBJECTID

Fields: Default Mosaic Method: Northwest

Allowed Mosaic Methods: NorthWest,Center,LockRaster,ByAttribute,Nadir,Viewpoint,Seamline,None

SortField:

SortValue: null

Mosaic Operator: First

Default Compression Quality: 75

Default Resampling Method: Bilinear

Max Record Count: 1000

Max Image Height: 4100

Max Image Width: 15000

Max Download Image Count: 20

Max Mosaic Image Count: 20

Allow Raster Function: true

Allow Compute TiePoints: false

Supports Statistics: true

Supports Advanced Queries: true

Use StandardizedQueries: true

Raster Type Infos: Has Raster Attribute Table: false

Edit Fields Info: null

Ownership Based AccessControl For Rasters: null

Child Resources:   Info   Histograms   Key Properties   Legend   MultiDimensionalInfo   rasterFunctionInfos

Supported Operations:   Export Image   Query   Identify   Download Rasters   Compute Histograms   Get Samples   Compute Class Statistics