Abstract
The affect of sampling on the accuracy (precision and bias) of crop area estimates made from classifications of Landsat MSS data was investigated. Full-frame classifications of wheat and non- wheat for 80 counties in Kansas were repetitively sampled to simulate alternative sampling plants. 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. -from NASA abstract E83-10256
| Original language | English (US) |
|---|---|
| Title of host publication | Unknown Host Publication Title |
| Publisher | Purdue University, Lafayette, IN, Laboratory for Applications of Remote Sensing; LARS-062779 |
| State | Published - 1979 |