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Monte Carlo methods / Non-parametric statistics / Survey methodology / Ground truth / Resampling / Sample size determination / Estimator / Stratified sampling / Standard error / Statistics / Sampling / Statistical inference


An accuracy assessment of forest disturbance mapping in the western Great Lakes
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Document Date: 2013-03-21 08:52:07


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File Size: 1,50 MB

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City

St. Paul / Luxemburg / Minneapolis / New York / Salt Lake City / Vienna / /

Company

Cummins / Coastal / Lake Michigan / Elsevier Inc. / Pugh S. A. / /

Country

Austria / United States / /

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Facility

Newtown Square / Rocky Mountain Research Station / Remote Sensing Applications Center / Northern Research Station / USA University of Minnesota / Fort Collins / /

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IndustryTerm

statistical computing / satellite imagery / watershed-level management / recursive algorithm / satellite data / actual management / software environment / computing / /

NaturalFeature

Great Lakes / Streamside forests / Lake Superior / North American forest / /

Organization

United States Department of Agriculture / National Institute of Health / American Statistical Association / Foundation for Statistical Computing / U.S. Government / US Environmental Protection Agency / USA USDA Forest Service / USDA Forest Service / Farm Service Agency / U.S. Department of Agriculture / Aerial Photography Field office / School of Statistics / Estimated commission / Forest Service / University of Minnesota / Remote Sensing Applications Center / /

Person

Nelson / Ray Czaplewski / Ron McRoberts / /

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Position

Butler / General / Corresponding author / G. P. / /

Product

VCTw / /

ProgrammingLanguage

R / /

ProvinceOrState

Wisconsin / Minnesota / Michigan / /

PublishedMedium

Journal of the American Statistical Association / Journal of Statistical Software / /

Region

eastern United States / Eastern North America / /

Technology

Remote Sensing / recursive algorithm / Vegetation Change Tracker algorithm / VCT protocol / VCT algorithm / Simulation / VCTw algorithm / /

URL

http /

SocialTag