Rapid Exploitation of Commercial Remotely Sensed Imagery for Disaster Response and Recovery: [Post Project Initiative]

Singh, Caesar; O'Neill-Dunne, Jarlath; University of Vermont

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Rapid Exploitation of Commercial Remotely Sensed Imagery for Disaster Response and Recovery: [Post Project Initiative]

2012-09-01
By Singh, Caesar ; O'Neill-Dunne, Jarlath

[PDF-662.84 KB]

English

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Details:

Creators:

Singh, Caesar ; O'Neill-Dunne, Jarlath

Singh, Caesar ; O'Neill-Dunne, Jarlath Less -
Corporate Creators:

University of Vermont
Corporate Contributors:

United States. Dept. of Transportation. Office of the Secretary for Research and Technology
Subject/TRT Terms:

[+]

Data And Information Technology Disasters And Emergency Operations Drones Emergency Response Time Environment Fillers (Materials) Floods Highways Image Processing Remote Sensing State Of The Art
Resource Type:

Brief
Geographical Coverage:

United States ; Vermont

United States ; Vermont Less -
TRIS Online Accession Number:

01593955
Edition:

Summary Report
Corporate Publisher:

University of Vermont
Abstract:

Natural disasters can severely impact our nation’s transportation network. Commercial remote sensing data are increasingly being used in disaster response and recovery, but obtaining actionable information from imagery is still hampered by slow and cumbersome workflows. This project designed, developed and deployed an automated system capable of identifying damaged portions of a road network from commercial satellite imagery. To estimate the amount of fill required to repair these damaged roads a workflow was developed that used 3D models generated from Unmanned Aircraft Systems (UAS).
Content Notes:

Date of publication derived from TRID record. 20190429 CG
Format:

PDF
Collection(s):

US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:48fdcd4ce437b8198ed6efdf66c8b5434cf730545801cf8a8ba3cddd9b1af767
Download URL:

https://rosap.ntl.bts.gov/view/dot/39923/dot_39923_DS1.pdf
File Type:

No Additional Files

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Rapid Exploitation of Commercial Remotely Sensed Imagery for Disaster Response and Recovery: [Post Project Initiative]

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