Reliably tracking coastal change rates is an important aspect of understanding hazards to coastal communities, especially as shoreline dynamics change with climate. Open access Landsat and Sentinel-2 satellite imagery provides data to remotely measure coastal change rates over wide regions, yet current methods using satellite imagery are not always reliable or accurate. This research compares coastal change rates from two remote measurement methods as well as with rates from aerial photography and field surveys in three study areas in the Canadian Maritimes: Brackley Beach (PEI), Kouchibouguac (NB), and Lawrencetown Beach (NS). The first remote measurement method is CoastSat, a python toolkit that uses classified Landsat and Sentinel-2 imagery to generate shoreline vectors and calculate time series of coastal change along shore-normal transects and calculate trends since 1985. The second remote method uses binary land-water masking of Landsat imagery to map raster shorelines defined as the most landward pixel where water is present over a 5-year period and then calculating the nearest neighbour distance from the 2019 shoreline to the 1987 shoreline. Preliminary results show significant disagreement between CoastSat and the Landsat binary masking method, particularly in estuary and lagoon environments and in areas of rapid change. In a comparison with Prince Edward Island and New Brunswick provincial government data from field surveys and aerial photography, agreement with CoastSat was reasonably high for sandy beaches, but low in other environments. Together, these comparisons give insight into the types of environments that pose the most challenges for remotely measuring coastal change.