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: , and 

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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.

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
Publisher Taylor & Francis
Contributing office(s) Earth Resources Observation and Science (EROS) Center
Description 17 p.
First page 4941
Last page 4957