This project was developed to correlate field measured agronomic properties
with satellite data and
aerial photography. The large amounts of data from the satellite scenes
and on-the-go yield monitoring maps are handled with
relatively new methods of data mining (SMILEY)
and data prospecting in conjunction with neural networks to find relationships
between remotely sensed and ground-truth data. Agronomic, soil, and ground
water data have been collected from a Best
Management Practices site and a Management
Systems Evaluation Area site in a 2000 ha irrigation test area near
Oakes, ND since 1990. Agricultural practices have also been inventoried
in the test area since 1986. The test area provides a unique opportunity
to compare agricultural practices at the watershed scale with remotely sensed
data. This project will develop a decision support at the field scale using
data from the BMP and MSEA sites to predict potato and corn yields and nitrogen
uptake in those crops for the entire 2000 ha test area. |
