<p>Landslides present significant natural threats, causing adverse effects on the environment, infrastructure, and socioeconomic conditions. Enhancing our comprehension of these hazards is essential for identifying signs of unstable slopes before they develop into rapid landslides. Towards this goal, this research focuses on measuring horizontal ground displacements from landslides by utilizing time series analysis of satellite imagery. Our dataset comprises panchromatic images from Landsat 7 (from 1999 to 2003), Landsat 8 (since 2013), and Landsat 9 (since 2021). A set of automated processes has been created for calculating the velocity maps, time series of ground surface displacement, and their associated uncertainties using feature tracking algorithms and image stacking techniques. We demonstrate the classification and description of slow-moving landslides located near glaciated mountain ranges in the Glacier Bay National Park area. We detected a total of 21 landslide areas, of which 14 were previously unknown, with a few located near notable glaciers such as Grand Plateau Glacier, Hugh Miller Glacier and Yakutat Glacier. The median size of the classified unstable slopes is about 0.35 km², with velocity varying between 2 and 5&#xa0;m/year among different landslides. The outcomes of this study offer insights into the characteristics of landslides in these areas, encompassing their speeds, dimensions, frequency, and distribution. The tools produced in this investigation can contribute to informed decision-making for disaster management and initiatives aimed at reducing risk.</p>