Statistical sampling offers a cost‐effective, practical alternative to complete‐coverage mapping for the objective of estimating gross change in land cover over large areas. Because land cover change is typically rare, the sampling strategy must take advantage of design and analysis tools that enhance precision. Using two populations of land cover change in the eastern United States, we demonstrate that the choice of sampling unit size and use of a survey sampling regression estimator can significantly improve precision with only a minor increase in cost.
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Document Type: Research Article
SUNY College of Environmental Science and Forestry, 320 Bray Hall, Syracuse, NY 13210
Science Applications International Corporation (SAIC), USGS EROS Data Center, Sioux Falls, SD 57198
US Geological Survey, USGS EROS Data Center, Sioux Falls, SD 57198
Publication date: 20 November 2005
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