 The study assesses the spectral consistency between a high-resolution UAV-mounted Microsense red-edge MX sensor and variable-resolution multispectral sensors on-board PlanetScope, Sentinel-2 and Landsat-8 platforms. It finds that a vicarious radiometric correction is more accurate than a linear empirical line method for UAV data, with the former improving relative root mean square error, RMSC, by between 1.6% and 20.11%. Spectral band misalignment affects spectral consistency, causing different reflectance values for the same object in corresponding UAV and satellite bands. Larger differences between UAV-derived normalized difference vegetation index, NDVI, and satellite-based NDVI are observed for different ground features in response to land cover boundary and shadow effects. As spatial scale differences between the UAV and satellite platforms increase, the impact of geometric misregistration on their consistency decreases. The study provides insight into the collective effect of spectral and spatial misalignments on the degree of spectral consistency that can be expected between UAV and satellite data, guiding radiometric intercalibration efforts and potential for improved synergy and interoperability between UAV and satellite data. This article was authored by Geologyang, Casper Johansson, U12, and others. We are article.tv, links in the description below.