Landsat image composites and forest cover monitoring results

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Data format

Data format				: GeoTiff, 8-bit integer 
Tile dimensions (pixels): 5000 X; 5000 Y
Projection				: Lambert Azimuthal Equal Area
Earth Ellipsoid			: Sphere, rad 6370997 m
Pixel size (m)			: 60 X ; 60 Y  

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Landsat data composites

Layer 1: Landsat band 5 (SWIR) normalized and scaled
Layer 2: Landsat band 4 (NIR) normalized and scaled
Layer 3: Landsat band 3 (Red) normalized and scaled

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Forest monitoring results map legend

Value	Class
  1		Non-forest (2000, 2005)
  2		Forest (2000, 2005)
  3		Forest loss 2000-2005
  4		Forest gain 2000-2005 (preliminary results)

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The dataset consists of Landsat image composites for circa year 2000
(created using data from 1999 to 2002) and circa 2005 (created using data
from 2003 to 2005). Only 3 image bands for each time interval are included
in the on-line dataset. Other spectral bands, image date layers and
additional annual metrics used for data analysis are available on request.
The Landsat-based classification results showing forest, non-forest classes
for year 2000 and forest cover change from 2000 to 2005 are available for
cross-validation and analysis. Our to-date validation result illustrates
that regional-scale Landsat monitoring results are comparable with heritage
individual image supervised characterizations. However, note that forest
cover gain results were not validated, could have high uncertainty, and
should be considered preliminary. Our current dataset includes only data
for European Russia from 2000 to 2005.  

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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/boreal/

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Provided 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., Turubanova S., Hansen M.C. (in review) Regional-scale boreal
forest monitoring using Landsat data composites: first results for
European Russia. Remote Sensing of Environment.

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For further information, please contact:

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

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