The Large Area Crop Inventory Experiment (LACIE) was created to demonstrate the capability of forecasting the wide area annual production of major crops, such as wheat and corn, from multispectral LANDSAT imagery and meteorological data. The current classification algorithm utilizes multi-temporal imagery from different biological phases which are spatially aligned or registered. It is of paramount importance to investigate and evaluate the accuracy of the registration process, because the number of pixels and the area classified are directly affected. A new technique has been developed at the NASA Johnson Space Center to evaluate image registration accuracy.

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