7 Geologic mapping in the digital age: products, workflows, and methodologies (Posters)

This session will highlight geologic maps and their derivatives, showcasing products that leverage innovative digital methods and workflows, novel application of remote sensing data, and integration of advanced data processing techniques.

Sunday, 22 March 2026
8:00 AM - 12:00 PM
CCC, Ballroom C

Integrated Geologic Mapping and Real-Time Data Management for Optimized Soil Reuse in Large-Scale Industrial Remediation

Paper number: 7-1
Program: Technical Sessions
Time: 8:00 AM – 8:00 AM

Authors

Abstract

Soil management classification and tracking are major challenges when performing redevelopment-driven remediation at former industrial sites. At a large, historically industrial site in Connecticut undergoing redevelopment, our team has implemented a data-driven soil management strategy that prioritizes on-site reuse, minimizing environmental impact.

While maximizing on-site reuse of soil reduces the environmental impact of remediation, it increases the complexity of the soil management puzzle, especially at a large site where over 4,000 soil samples have been collected over the past several decades. To meet this challenge, we implemented a site-wide grid system and developed a series of Python scripts to classify soil samples and grid cells based on regulatory exceedance thresholds. Excavated soil is then assigned to stockpiles and final grid cells based on a combination of factors: the need for fill to meet a final redevelopment grade and whether the soil management category aligns with the planned future land use at that grid cell. For instance, soil consistent with native material may be used as fill anywhere on Site, but soil in exceedance of certain regulatory criteria may need to be covered by several feet of clean fill, a paved surface, or a building.

In addition to the scripted approach to soil classification, we developed field data collection tools using ESRI’s Field Maps technology to track soil excavation, stockpiling, and filling during redevelopment work. This approach enables real-time tracking, precise delineation, and adaptive management of soil to facilitate a redevelopment-based remediation approach.

This presentation will highlight how automation, spatial analysis tools, and field-based decision-making tools are being leveraged to streamline remediation. The methodology not only enhances efficiency, but also offers a replicable model for other large, complex remediation projects.

Geological Society of America Abstracts with Programs. Vol. 58, No. 2

doi: 10.1130/abs/2026NE-411111

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