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An evaluation of sampling strategies to improve precision of estimates of gross change in land use and land cover

International Journal of Remote Sensing

By:
, ,
DOI: 10.1080/01431160500222632

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Abstract

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. ?? 2005 Taylor & Francis.

Additional Publication Details

Publication type:
Article
Publication Subtype:
Journal Article
Title:
An evaluation of sampling strategies to improve precision of estimates of gross change in land use and land cover
Series title:
International Journal of Remote Sensing
DOI:
10.1080/01431160500222632
Volume
26
Issue:
22
Year Published:
2005
Language:
English
Larger Work Type:
Article
Larger Work Subtype:
Journal Article
Larger Work Title:
International Journal of Remote Sensing
First page:
4941
Last page:
4957
Number of Pages:
17