The results of a study involving the use of computer-aided analysis techniques applied to Landsat MSS data for identification and area estimation of winter wheat in Kansas and corn and soybeans in Indiana are described. Key elements of the approach included use of aerial photography for classifier training, stratification of Landsat data and extension of training statistics to areas without training data, and classification of a systematic sample of pixels from each county. Major conclusions of the study are discussed.
|Original language||English (US)|
|Number of pages||11|
|Journal||Photogrammetric Engineering and Remote Sensing|
|State||Published - Jan 1 1978|