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Monday, November 6 • 11:30am - 12:00pm
User Session. Campus Cleanup: Soil Remediation at an Urban University Campus

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AUTHORS: Stephen Washburn*, GIS Analyst, GZA in Norwood, MA

ABSTRACT: I will present a project specific example of how GIS and Python were used as the foundation for 2D and 3D data driven mapping and analysis of an environmental data set comprised of over 650 data points/samples._x000D_
The project site is on the active campus of a university located in a densely urbanized area of Boston, Massachusetts. The project involved the analysis, excavation or treatment, and management of over 100,000 tons of soil. In many instances, soil excavation depths were greater than 20 feet below ground surface. Custom Python scripts were used to automate the classification of laboratory analytical results. ArcGIS was used to generate 2D maps, web maps that made use of the ArcGIS mobile application, and 3D features that were used in volumetric calculations and 3D visualization._x000D_
GIS provided the advantage of not only generating the mapping and analytics we needed to classify and visualize the data but it also integrated seamlessly with our Python solutions. I believe this is a great example of how using GIS as the foundation for environmental data analysis, 2D mapping, web mapping, and 3D visualization can be of massive benefit to project efficiency, accuracy, and budget.

Monday November 6, 2017 11:30am - 12:00pm EST
Ballroom Salon II (3rd Level)