This paper describes remote-sensing data analysis research conducted collaboratively during the last year by personnel of the Center for Advanced Computation (CAC) of the University of Illinois at Urbana-Champaign and the Statistical Reporting Service (SRS) of the U.S. Department of Agriculture. The research reported has been undertaken by CAC and SRS to assess the practicalities of existing high-volume earth observations data acquisition, processing, and communication technologies such as LANDSAT, the ILLIAC IV parallel computer, and the ARPA Network as mechanisms for improving the accuracy of USDA annual estimates of agricultural crop acreages for geographic regions corresponding to U.S. states.

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