A high resolution broad scale spatial indicator of grain growing profitability for natural resource planning

The study also suggests that feasibility analyses of land use change at farm and regional scales should be conducted with a spatial resolution that is fine enough to reflect the spatial variability observed from yield mapping. While this information will not be available on every farm, this study shows that it may be possible to predict yield variability from remotely sensed imagery, thus providing a means to circumvent this problem and to produce high resolution indicators at a regional extent.