Adapting a global stratified random sample for regional estimation of forest cover change derived from satellite imagery

Elsevier Inc.
Publication Type:
Journal Article
Remote Sensing of Environment, 2011, 115 pp. 650 - 658
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A desirable feature of a global sampling design for estimating forest cover change based on satellite imagery is the ability to adapt the design to obtain precise regional estimates, where a region may be a country, state, province, or conservation area.
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