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Full-Text Articles in Geological Engineering
Semi-Supervised Learning Method For The Augmentation Of An Incomplete Image-Based Inventory Of Earthquake-Induced Soil Liquefaction Surface Effects, Adel Asadi, Laurie Gaskins Baise, Christina Sanon, Magaly Koch, Snehamoy Chatterjee, Babak Moaveni
Semi-Supervised Learning Method For The Augmentation Of An Incomplete Image-Based Inventory Of Earthquake-Induced Soil Liquefaction Surface Effects, Adel Asadi, Laurie Gaskins Baise, Christina Sanon, Magaly Koch, Snehamoy Chatterjee, Babak Moaveni
Michigan Tech Publications, Part 2
Soil liquefaction often occurs as a secondary hazard during earthquakes and can lead to significant structural and infrastructure damage. Liquefaction is most often documented through field reconnaissance and recorded as point locations. Complete liquefaction inventories across the impacted area are rare but valuable for developing empirical liquefaction prediction models. Remote sensing analysis can be used to rapidly produce the full spatial extent of liquefaction ejecta after an event to inform and supplement field investigations. Visually labeling liquefaction ejecta from remotely sensed imagery is time-consuming and prone to human error and inconsistency. This study uses a partially labeled liquefaction inventory created …