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Iceberg monitoring using computer vision
Iceberg monitoring using computer vision
Accelerated glacial melt and calving are a response of Greenland’s environment to rapid climate change which cause local communities to experience more coastal hazards. This work is focused on observing the environment to understand where and when coastal hazards are occurring and to convey this information to Greenlanders and the scientific community. In this study we will focus on developing a novel camera system to specifically monitor icebergs to gain more observational and quantifiable data about the process of general iceberg movement and capsize in real time. For the computer vision aspect, we want to utilize vision transformers which can simultaneously perform image segmentation and feature tracking.
Monitoring stations preparing to be shipped to Greenland for the 2024 field season (KitKat for scale)
Preliminary differencing results in meters
DEM differencing in Siorapaluk, GL
DEM differencing in Siorapaluk, GL
Siorapaluk is the northernmost settlement in Greenland and has a limited number of studies within its region. To quantify elevational changes along the Siorapaluk coastline and slopes, we derived DEMs from elevation data provided by ArcticDEM and refined through SETSM (Surface Extraction by TIN-based Search Space Minimalization). We performed DEM differencing using the geoprocessing tool GDAL within the Linux command line. Observations from differencing DEMs show signs of erosion on the slopes as well as sediment accumulation along the coast. Elevations will be validated with ICESat-2 data. This study also supports the further need of research on Greenland’s northwestern coast to identify potential areas for slope failure.
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