Integration and Delivery of Interferometric Synthetic Aperture Radar [Insar] Data Into Stormwater Planning Within Karst Terranes

Authors

Brian Bruckno, University of Nebraska-LincolnFollow
Andrea Vaccari, University of VirginiaFollow
Edward Hoppe, Virginia Center for Transportation Innovation & ResearchFollow
Scott Acton, University of Virginia - Main CampusFollow
Elizabeth Campbell, Virginia Department of TransportationFollow

Document Type

Article

Date of this Version

10-16-2015

Citation

Bruckno, B., Vaccari, A., Hoppe, E., Acton, S., and Campbell, E. 2015. Proceedings of the 14th Multidisciplinary Conference on Sinkholes and the Engineering and Environmental Impacts of Karst, Rochester, MN, October 5-9, 2015, pp 371-379

Comments

Copyright (c) 2015 Bruckno, Vaccari, Hoppe, Acton, & Campbell.

Abstract

As part of two USDOT-funded studies focused on the development of satellite-based Interferometric Synthetic Aperture Radar (InSAR) technology, the researchers integrated InSAR-derived point cloud data into the transportation design process to optimize the location of a stormwater management system in a karst terrane. After initial validation, the InSAR data (over 1.67 million data points comprising various “scatterers”) were brought into a GIS dataframe and georeferenced to locations of known sinkholes. This dataset was then used to evaluate karst hazard within a 40x40km data frame located in the Valley and Ridge Province of Virginia. The group identified systematic kinematic differences in scatterer behavior with respect to their proximity to mapped karst geohazards, and used this method to identify unknown karst features, revealing numerous previously unidentified sinkholes. After validating the data with quantitative field correlations, the group integrated the dataset into a traditional CADD-developed design, ported into a GIS environment, and utilized the resulting integrated dataset to optimize the location of stormwater management assets within a traditionally-developed roadway project. In the process, the group developed open-source data delivery, allowing greater flexibility, efficiency, and optimization of the infrastructure design and planning process conducted collaboratively over geospatial platforms. This data integration offers lifecycle cost benefits, improvements to the safety of the traveling public, and protection of the environment, particularly in groundwater-sensitive karst terranes. A case study of this approach is presented.

The views, opinions, findings and conclusions reflected in this presentation are the responsibility of the authors only and do not represent the official policy or position of the US Department of Transportation/Office of the Assistant Secretary for Research and Technology, or any state or other entity.