Sampling Landsat classifications for crop area estimation.

M. M. Hixson, B. J. David, Marvin E Bauer

Research output: Contribution to journalArticle

9 Scopus citations

Abstract

The objective of this investigation was to evaluate the effect of several sampling plans on the precision and bias of crop area estimates made by sampling classifications of Landsat MSS data. Full-frame classifications of wheat and non-wheat for 80 counties in Kansas were repetitively sampled to simulate alternative sampling plans. Four sampling plans involving different numbers of samples and different size sampling units were evaluated. The precision of the wheat area estimates increased as the segment (cluster) size decreased and the number of segments was increased. -from Authors

Original languageEnglish (US)
Pages (from-to)1343-1348
Number of pages6
JournalPhotogrammetric Engineering and Remote Sensing
Volume47
Issue number9
StatePublished - Jan 1 1981

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    Hixson, M. M., David, B. J., & Bauer, M. E. (1981). Sampling Landsat classifications for crop area estimation. Photogrammetric Engineering and Remote Sensing, 47(9), 1343-1348.