Available tools for satellite-derived waterline (SDW) detection have been extensively validated in microtidal environments. However, detection of the water-land interface in macrotidal beaches is still a challenge due to the complexity of the intertidal morphology together with intense hydrodynamic conditions. There is a need for further understanding of the environmental conditions that cause SDW misdetection and how this knowledge can be used to flag erroneous SDWs automatically. The aim of this study is to assess the capacity of SDW detection in two macrotidal environments with complex beach morphology using currently available methods. Here, we correlate misdetection issues to hydrodynamic factor such as wave, storm surge, and tide conditions at the instant of the image acquisition. The results indicate that the main oceanographic factors affecting SDW detection are tidal level and phase (flood/ebb). Accurate detections are typically observed at higher tidal levels during the flooding phase, which is related to the fact that during the flooding phase the sand in the water-sand interface is dry, and soil moisture does not affect the waterline detection. In the study area, no SDW detection was done during higher tidal levels, which could pose an issue for detecting accurate SDWs during high tides. Other factors such as SDW sinuosity, usually associated with the detection of complex intertidal bar shapes, correlated to erroneous SDW, for which it can be used as an additional parameter to flag SDW misdetections.