 This paper discusses the use of unmanned aircraft systems, UAS, for remote sensing applications, specifically focusing on multispectral imagery. The authors describe the challenges and solutions associated with efficiently processing multispectral imagery to obtain orthorectified, radiometrically calibrated image mosaics for the purpose of rangeland vegetation classification. They also compare the results of their ground truth classification against both ground truth and worldview to satellite data. The authors found that the UAS-derived data correlates well with both ground truth and satellite data, demonstrating the potential for upscaling the data to larger areas. This article was authored by Albert Rango, Katriana M. Steele, Marka Goforth, and others.