Mark Lundine, PhD
I am a coastal geomorphologist and data scientist broadly interested in understanding the dynamics of coastal landscapes. With the USGS, I am aimed at developing techniques for quantifying and predicting shoreline change, primarily using large volumes of satellite imagery and machine learning algorithms.
My primary research focus has been on using remote sensing and machine learning techniques to detect and characterize coastal geomorphic features, on land and on the seabed. I apply data science methodology on topographic and imagery data coming from a variety of platforms (e.g., satellites, autonomous and human-crewed vessels) to capture coastal sedimentary features and quantify their temporal changes. My research with the USGS revolves around leveraging satellite imagery to build historical records of shoreline change. Building these records will aid in understanding the past dynamics of our coastlines, which in turn will improve future projections of coastal change.