MANIPULATION OF HIGH-SPATIAL-RESOLUTION AIRCRAFT REMOTE-SENSING DATA FOR USE IN SITE-SPECIFIC FARMING

Three spatial data sets consisting of high spatial resolution (1 m) re mote sensing images acquired in 12 spectral bands; an on-the-go yield map, and a Digital Elevation Model were co-registered and evaluated fo r spatial variability studies in a Geographic Information Systems envi ronment. Separate on-the-go yield maps were developed for 3, 5, and 12 statistically significant mean yield classes. For each yield class, t he corresponding mean spectral and elevation data were extracted The r elationship between mean spectral and yield data was strongly linear ( r = 0.99). Also, a strong linear relationship between mean yield and e levation data (r = 0.92) was found The relationship between the spectr al and on-the-go yield data indicated the potential of remote sensing for spatial variability studies.