Using Social Networks and Commercial Remote Sensing to Assess Impacts of Natural Events on Transportation Infrastructure

This project develops a new capability to use social networks for cueing commercial remote sensing of transportation infrastructure conditions, in response to natural events. To meet these challenges, this project will develop and deliver a capability to access real-time social networks and then convert information into interoperable geospatial services. These services can be used to 'scan' for geosocial inputs to natural event impacts on transportation infrastructure, and improve the speed and accuracy of commercial imagery satellite collection of transportation infrastructure impacts. Once cueing data is available, commercial high-resolution imaging satellites will use the information to task collection over potentially affected transportation infrastructure.

• Supplemental Notes:
  • Program information: Advanced Research, Commercial Remote Sensing

Language

• English

Project

• Status: Active
• Funding: $525000.00
• Contract Numbers:

  RITARS-12-H-GMU, CFD

• Sponsor Organizations:

  Research and Innovative Technology Administration

  University Transportation Centers Program
  1200 New Jersey Avenue, SE
  Washington, DC  United States  20590
• Project Managers:

  Singh, Caesar

• Performing Organizations:

  Geographic Information Science, Center of Excellence

  Rm 254B, Research Hall
  4400 University Drive
  Fairfax, VA  United States  22030-4422
• Principal Investigators:

  Cervone, Guido

  Waters, Nigel

• Start Date: 20120815
• Expected Completion Date: 0
• Actual Completion Date: 20140815
• Source Data: RiP Project 33646

Subject/Index Terms

• TRT Terms: Imagery; Infrastructure; Interoperability; Real time information; Remote sensing
• Candidate Terms: Social networking
• Uncontrolled Terms: Transportation infrastructure
• Subject Areas: Data and Information Technology; Highways; Pavements; Planning and Forecasting; Vehicles and Equipment;

Filing Info

• Accession Number: 01494656
• Record Type: Research project
• Source Agency: Geographic Information Science, Center of Excellence
• Contract Numbers: RITARS-12-H-GMU, CFD
• Files: RIP
• Created Date: Sep 28 2013 1:00AM