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Journal of Imaging, Volume 10, Issue 12
December 2024 - 39 articles
Cover Story: This article presents a novel computational framework that addresses a fundamental challenge in geohazard assessment: determining landslide thickness from satellite-derived elevation data. By combining mass conservation principles with sophisticated regularization techniques, our method converts surface measurements into meaningful subsurface information. The accompanying images show its application to the Fels landslide in Alaska, demonstrating how modern imaging techniques and mathematical algorithms can work together to solve complex geological problems. This development represents a significant step forward in the field of quantitative image analysis for natural hazard assessment, offering new possibilities for understanding landslide mechanics through non-invasive observations. View this paper
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J. Imaging - ISSN 2313-433X