Forest cover loss from 2000 to 2005 for Boreal Forest biome

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32-bit real data
1200 pixels by 180 lines
Data format: GeoTiff. This data is importable to any image viewing software. 

 Projection                     :    	Sinusoidal
 Earth Ellipsoid                :    	Sphere, rad 6370997 m
 Upper Left Corner (m)          :       -11119504.8 X  7783653.36 Y      
 Pixel size (m)                 :       18532.508 X  18532.508 Y  

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Values
0-100 = percent forest cover loss per pixel
Data valid only within the biome. Please, refer to the biome boundary Shape file.

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This dataset represents 2000-2005 gross forest cover loss for the biome. 
A separate regression estimator (i.e. separate regression models and 
parameter estimates allowed for each stratum) and post-stratification 
were employed to estimate Landsat-calibrated forest cover loss area. For 
sample blocks with intensive change a simple linear regression model was 
applied using the proportion of area within the sample block classified 
as MODIS-derived forest loss as the auxiliary variable. For low-change 
blocks post-stratification based on VCF tree canopy cover and road 
density data was implemented to partition blocks into areas of nearly 
zero change and areas of some change. The forest cover loss area 
estimates were then constructed from the sample mean Landsat-derived 
clearing within post-strata. 

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This data is a part of Boreal Forest Monitoring Project provided by
Geographic Information Science Center of Excellence (GIScCE)
1021 Medary Ave., Wecota Hall Box 506B, Brookings, SD 57007. (605) 688-6591

The project's web site:
http://globalmonitoring.sdstate.edu/projects/gfm/boreal/borindex.html

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Provided MODIS-derived data are available for use for valid scientific, 
conservation, and educational purposes as long as proper citations are 
used. We ask that you credit the Boreal Forest Monitoring data 
as follows: 

Potapov P., Hansen M. C., Stehman S. V., Loveland T. R., Pittman K. 
(2008) Combining MODIS and Landsat imagery to estimate and map boreal 
forest cover loss. Remote Sensing of Environment, 112(9), 3708-3719. 

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For further information, please contact:

Dr. Matthew Hansen
Geographic Information Science Center of Excellence - SDSU
Phone: (605) 688-6848
Matthew.Hansen@sdstate.edu

Dr. Peter Potapov
Geographic Information Science Center of Excellence - SDSU
Phone: (605) 688-5814
Peter.Potapov@sdstate.edu
