Abstract
The objective of this investigation was to evaluate the effect of sampling on the accuracy (precision and bias) of crop area estimates made from classifications of Landsat MSS data. Full-frame classifications of wheat and non-wheat for eighty counties in Kansas were repetively sampled to simulate alternative sampling plans. Four sampling schemes involving different numbers of samples and different size sampling units were evaluated. The precision of the wheat area estimates increased as the segment size decreased and the number of segments was increased. Although the average bias associated with the various sampling schemes was not significantly different, the maximum absolute bias was directly related to sampling unit size.
Original language | English (US) |
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Pages | 97-104 |
Number of pages | 8 |
State | Published - 1979 |
Externally published | Yes |
Event | Mach Process of Remotely Sensed Data, 5th Annu Symp - Lafayette, LA, USA Duration: Jun 27 1979 → Jun 29 1979 |
Other
Other | Mach Process of Remotely Sensed Data, 5th Annu Symp |
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City | Lafayette, LA, USA |
Period | 6/27/79 → 6/29/79 |