Abstract
A description is given of 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. 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 results and conclusions are discussed.
Original language | English (US) |
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Pages | 102-112 |
Number of pages | 11 |
State | Published - Jan 1 1977 |
Event | Annu Symp on Mach Process of Remotely Sensed Data, 4th - Lafayette, LA, USA Duration: Jun 21 1977 → Jun 23 1977 |
Other
Other | Annu Symp on Mach Process of Remotely Sensed Data, 4th |
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City | Lafayette, LA, USA |
Period | 6/21/77 → 6/23/77 |