Technology and Workforce Development for Remote Sensing of the Transportation Infrastructure

The primary goal of this study is to assess and develop means of optimizing hyperspectral remote sensing for use with lightweight (less than 50 pounds) unmanned aircraft systems (UAS) and to provide the relevant training necessary for future practitioners to construct and deploy full solutions. A secondary objective will be to investigate the use of ground or vehicle based hyperspectral systems. A variety of knowledge domain experts in signal processing, image analysis, data mining, data management, geospatial analysis, optics, rules-based engines, cloud computing and mobile computing are needed to implement complete solutions. Effective implementations will generally merge cross-disciplinary expertise to analyze the fusion of data from a variety of sources to quantify performance and assess risks, threats, and vulnerabilities in the transportation system (Bridgelall 2014). The transformation of remote sensing data into actionable information requires forms of signal processing and data analysis that are still evolving and/or not yet fully understood. The associated decision-support platforms and asset management systems rely on tailoring multidisciplinary aspects of the full solution to remote sensing applications for maximum effectiveness in realizing their potential benefits while reducing the complexity of human interfaces. Educators have placed little, if any, attention on inventorying the skill sets and workforce availability for personnel who can process and derive actionable information from these data sources. To achieve this goal, the team will execute the following objectives: (1) conduct a utility study to catalog current practices and high-priority emerging opportunities for hyperspectral sensing; (2) identify emerging and related sensor technologies for inclusion in future transportation infrastructure needs assessments; and (3) formulate means that Midwest-Plains Consortium (MPC) members can utilize to build upon their existing curricula and ensure a properly trained workforce with relevant skills and understanding within those domains.


  • English


  • Status: Completed
  • Contract Numbers:


  • Sponsor Organizations:

    Research and Innovative Technology Administration

    University Transportation Centers Program
    1200 New Jersey Avenue
    Washington, DC  United States  20590

    Federal Highway Administration

    1200 New Jersey Avenue, SE
    Washington, DC  United States  20590
  • Project Managers:

    Kline, Robin

  • Performing Organizations:

    Upper Great Plains Transportation Institute

    1320 Albrecht Blvd.
    Fargo, ND  United States  58102
  • Principal Investigators:

    Rafert, Bruce

    Bridgelall, Raj

  • Start Date: 20130930
  • Expected Completion Date: 20180731
  • Actual Completion Date: 20160901
  • Source Data: MPC-460

Subject/Index Terms

Filing Info

  • Accession Number: 01528055
  • Record Type: Research project
  • Source Agency: Mountain-Plains Consortium
  • Contract Numbers: DTRT13-G-UTC38
  • Files: UTC, RiP
  • Created Date: Jun 12 2014 1:00AM