Percent Forest cover loss from 2000 to 2005 for Boreal Forest biome

Jul 16, 2010
Description:
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.

Data is displayed in grid format, with the value being the percentage of the pixel area which experienced forest cover loss from 2000-2005.
Data Provided By:
Potapov P., Hansen M.C., Stehman S.V., Loveland T.R., Pittman K.
Content date:
2000,2005
Citation:
Title: Percent Forest cover loss from 2000 to 2005 for Boreal Forest biome
Credits: Potapov P., Hansen M.C., Stehman S.V., Loveland T.R., Pittman K.
Online Linkages: Other Citation Info: 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.
Contact Organization:
Geographic Information Science Center of Excellence - SDSU
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Use Constraints:
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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Conservation Biology Institute

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