North Dakota State University research and Extension personnel are collaborating with Elbit Systems of America to compare the usefulness and economics of imagery collected from a large unmanned aircraft systems (UAS), small UAS and satellite imagery. Project personnel are using a large UAS powered with an internal combustion engine to collect high-resolution imagery over 100,000 acres twice each month during the crop growing season. Four-band multispectral Imagery is also being collected twice each month with the large UAS at 4,000’, 6,000’ and 8,000’ altitude over the 4x40 mile corridor. Researchers are using small UAS to collect imagery of selected fields within the flight corridor. Since current US Federal Aviation Administration regulations require UAS line-of-sight operation, project personnel are flying a manned aircraft chase plane within visual line of sight of the UAS with a visual observer onboard. Agricultural research objectives include using the various types and sources of imagery to detect selected crop diseases, nutrient deficiencies in corn, wheat and soybeans, and impacts of excess soil moisture on crop development. Collaborating farmers are sharing detailed soil analyses and field observations, in-field optical sensor data, and crop harvest yield data in selected fields. All project imagery is transferred to, and securely stored, on NDSU Center for Computationally Assisted Science and Technology (CCAST) computers. Image processing and analyses is conducted using desktop computers. All imagery collected on the project is being made available to each land owner and agricultural producers within the image collection corridor. The project is funded jointly by the North Dakota Department of Commerce and Elbit Systems of America.