Remote sensing data are valuable assets in movement ecology. They provide unique insights into habitat composition and change, enabling unique insights into the drivers of animal movements that depict their behavior. However, combining movement and remote sensing data is not linear. These data are typically collected at contrasting spatial and temporal resolutions, impairing their direct integration. Due to this limitation, we must carefully consider our choices of remote sensing data, and how their spatial and temporal resolutions impair, and potentially mislead, analyses of movement. The R package rsMove supports this assessment. This chapter discusses the challenges of linking animal movement and remote sensing data, and how rsMove can help navigate them.