Advanced space-based InSAR risk analysis of planned and existing transportation infrastructure.

Zebker, Howard; McParland, Mary Anne

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Advanced space-based InSAR risk analysis of planned and existing transportation infrastructure.

2017-03-21
By Zebker, Howard ; McParland, Mary Anne

File Language:

English

Details

Creators:

Zebker, Howard ; McParland, Mary Anne
Corporate Creators:

Stanford University ; MDA Geospatial Services, Inc.
Contributors:

Kubanski, Mike ; Greene, Fernando ; Eppler, Jayson
Corporate Contributors:

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

Tech Report
Right Statement:

Portions of this report © Copyright MDA Geospatial Services Inc. 2016
Geographical Coverage:

United States ; Seattle (Washington) ; Pennsylvania ; California
Corporate Publisher:

Stanford University
Abstract:

The purpose of this document is to summarize activities by Stanford University and ; MDA Geospatial Services Inc. (MDA) to estimate surface deformation and associated ; risk to transportation infrastructure using SAR Interferometric methods for the ; Advanced Space-Based Interferometric Synthetic Aperture Radar (InSAR) Risk ; Analysis of Planned and Existing Transportation Infrastructure project.This report includes a description of InSAR analysis performed for all four project ; study sites and summarizes the final results obtained. This report also summarizes ; InSAR method improvements implemented during the project, plus the development of ; an enhanced Google Earth InSAR visualization plug-in. Stakeholder InSAR workshops ; were conducted with both the Washington State Department of Transportation ; (WSDOT) and Pennsylvania Department of Transportation (PennDOT). Summaries of ; those workshops are detailed in a separate report.
Format:

PDF
Funding:

OASRTRS-14-H-SUI
Download URL:

https://rosap.ntl.bts.gov/view/dot/32304/dot_32304_DS1.pdf
File Type:

[PDF - 9.87 MB]
Collection(s):

US Transportation Collection
Main Document Checksum:

urn:sha256:136af277236680fd85178e69c4c034505998710382b729f604bdc8db6c51c869

File Language:

English

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