High resolution site characterization (HRSC) technologies generate large amounts of detailed subsurface data about the spatial distribution of contaminant mass and hydrostratigraphy. For example, a single MIP boring terminated at thirty feet below ground surface will generate nearly 5,000 data measurements. Ten borings and 50,000 data points later, how do you make sense of these data? Sharpen the pencil and bring out the 3D graph paper?

In this webinar, Technical Director of HRSC Data Management & Visualization Kerry Stonestreet will present advancements in HRSC data processing, using modern data science technologies such as Python and Jupyter Notebooks. He will explain how these advances make possible the fast, accurate and reproducible ability to convert complex 3D data into actionable intelligence in the form of interactive 3D models and data summary documents.

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