How aerial and satellite remote sensing assist transportation planning and mitigate risks
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National Consortium for Remote Sensing in Transportation Security, Safety, Hazards, and Disasters. How Aerial and Satellite Remote Sensing Assist Transportation Planning and Mitigate Risks. Stan Morain Amelia Budge Earth Data Analysis Center University of New Mexico.

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How aerial and satellite remote sensing assist transportation planning and mitigate risks

National Consortium for Remote Sensing in Transportation Security, Safety, Hazards, and Disasters

How Aerial and Satellite Remote Sensing Assist Transportation Planning and Mitigate Risks

Stan Morain

Amelia Budge

Earth Data Analysis Center

University of New Mexico

Applications of Remote Sensing Technologies

for Transportation Data Collection

Jacksonville, FL

December 1-2, 2004


Discussion topics

National Consortium for Remote Sensing in Transportation Security, Safety, Hazards, and Disasters

Discussion Topics

  • Multispectral and Temporal Concepts

  • Terrain

    • Corridor Planning

    • Failures

    • Deformations

  • Roads

    • Updates & Maintenance

    • Safety & Incident Management

    • Hazardous Materials Transport

  • Airports


Increasing complexity

Local Inventory

Single Source Data

Simple Identification

Manual Analysis

Photographs

Analog Recording

Cameras

Balloons

Global Surveys

Multiple Source Data

Complex Problem Solving

Machine Assisted Analysis

Image & Non-image Data

Digital Recording

Electronic Sensor Systems

Satellites

National Consortium for Remote Sensing in Transportation Security, Safety, Hazards, and Disasters

Increasing Complexity

Concepts


The imaging spectrometry concept

National Consortium for Remote Sensing in Transportation Security, Safety, Hazards, and Disasters

The Imaging Spectrometry Concept

Concepts

Each pixel has an associated, continuous spectrum that can be used to identify the surface materials.

R

Images taken simultaneously (e.g., in 200 or more spectral bands) inherently registered

0.4

2.5

Wavelength, µm


How aerial and satellite remote sensing assist transportation planning and mitigate risks

National Consortium for Remote Sensing in Transportation Security, Safety, Hazards, and Disasters

Natural

Resources

Utilities

Hydrology

Sediment

Topography

Public Health

Social

Economic

Legal

Image Data

Other

Concepts

Action

Decision

Decision Making Process

Problem

Information

Manipulation & Analysis

Measurement

Modeling

Monitoring

Mapping

Database


Measurement mapping modeling and management

National Consortium for Remote Sensing in Transportation Security, Safety, Hazards, and Disasters

T+n

T+n

T+1

T+1

T

T

Measurement, Mapping, Modeling, and Management

Concepts

Management requires constant refreshment of information obtained from measurement, mapping, and modeling.

Time provides the means for making static data and information more dynamic.

Outputs are more easily visualized in time and space when temporal and spectral attributes are fused.

Measurement

Information analysis for management decision making

Mapping

Modeling

TN+1

TN

T+1

T-M

Time

Data analysis and processing


Gulf coast assessment

National Consortium for Remote Sensing in Transportation Security, Safety, Hazards, and Disasters

The Gulf Coast includes dense urban areas intermixed with designated natural areas, which influence or constrain development within the area.

Gulf Coast Assessment

Terrain: Corridor Planning

Slide courtesy of NCRST-E


Preliminary alternate routes

Preliminary Alternate Routes

National Consortium for Remote Sensing in Transportation Security, Safety, Hazards, and Disasters

Terrain: Corridor Planning

Alt D-1 / D-2

Alt D-2

Alt D-1

Alt C-1

Alt C-1 D-1

Alt B-1

Alt B-1

Alt A-1

Alt A-1

Slide courtesy of NCRST-E


Lidar and hyperspectral data collection

National Consortium for Remote Sensing in Transportation Security, Safety, Hazards, and Disasters

LIDAR and Hyperspectral Data Collection

Terrain: Corridor Planning

Slide courtesy of NCRST-E


What worked well a summary

National Consortium for Remote Sensing in Transportation Security, Safety, Hazards, and Disasters

What Worked Well?.....a Summary

Terrain: Corridor Planning

  • Coordinated Data Collection

  • Key Data and Products: i.e., LiDAR, DEMs, Hydrological, Hyperspectral

  • Data Fusion

  • 3-D Landscape Views

  • Identifying Wetlands

  • Detailed Land Cover Analysis

  • Partnering With Industry

Data Fusion

Wetlands

Land Cover Analysis


Application summary

National Consortium for Remote Sensing in Transportation Security, Safety, Hazards, and Disasters

Application Summary

Terrain: Corridor Planning

  • Very near-term prime-time technology.

  • Successfully demonstrated in multiple states.

  • Promises to help bring meaningful streamlining tovarious NEPA processes.

  • Helps preserve the intent ofNEPA to consider all alternatives.

  • Needs to be pilot deployed and applications taken to production mode to allow delivery of finished information products rather than raw data.

Slide courtesy of NCRST-E


Assessing transportation lifeline hazards

National Consortium for Remote Sensing in Transportation Security, Safety, Hazards, and Disasters

Assessing Transportation Lifeline Hazards

Terrain: Failures

A variable shaped neighborhood (function of hazard type, surroundings and time) is passed along a lifeline to assign a hazard value to each point or segment.


How aerial and satellite remote sensing assist transportation planning and mitigate risks

National Consortium for Remote Sensing in Transportation Security, Safety, Hazards, and Disasters

Terrain: Failures

General Strategy for Assessing Risk

For Land Failures

B

A

D

C


How aerial and satellite remote sensing assist transportation planning and mitigate risks

National Consortium for Remote Sensing in Transportation Security, Safety, Hazards, and Disasters

Terrain: Failures

Visualization of Results


How aerial and satellite remote sensing assist transportation planning and mitigate risks

National Consortium for Remote Sensing in Transportation Security, Safety, Hazards, and Disasters

Terrain: Deformations

Las Vegas Interferogram

ERS-2 data (the background image) are fused with ERS-1 data taken three years earlier to create an interferogram.

From Professional Surveyor, Oct. 1999.


How aerial and satellite remote sensing assist transportation planning and mitigate risks

National Consortium for Remote Sensing in Transportation Security, Safety, Hazards, and Disasters

Terrain: Deformations

InSAR-derived displacement map of the Salt Lake Valley.

The change in color scale indicates more subtle movements.

The road network is shown in black with fault traces in white.


How aerial and satellite remote sensing assist transportation planning and mitigate risks

National Consortium for Remote Sensing in Transportation Security, Safety, Hazards, and Disasters

Ikonos 1m

DOQQ .33m data

IRS-C 5m

Roads: Updates & Maintenance

Updating Roads Using Imagery


How aerial and satellite remote sensing assist transportation planning and mitigate risks

National Consortium for Remote Sensing in Transportation Security, Safety, Hazards, and Disasters

6.2

10.4

Ikonos

IRS-C

DOQQ

5.8

Roads: Updates & Maintenance

Speed and Output

Percent of Total Road Mileage Updated

Total image evaluation time to

total road mileage updated (min/km)


Road safety maintenance tools

National Consortium for Remote Sensing in Transportation Security, Safety, Hazards, and Disasters

Road Safety & Maintenance Tools

Roads: Safety & Incident Management

  • Some tools in the rural road toolkit help managers

  • pinpoint areas of highest risk for flooding and washouts

  • dispatch maintenance crews efficiently to the most critical spots


How aerial and satellite remote sensing assist transportation planning and mitigate risks

National Consortium for Remote Sensing in Transportation Security, Safety, Hazards, and Disasters

Roads: Safety & Incident Management

Highway Safety Using Multi-Criteria Evaluation

White dots show crash locations, black line is the road centerline along Route 17.


Bridge doctor bridge hunter

National Consortium for Remote Sensing in Transportation Security, Safety, Hazards, and Disasters

Bridge Doctor / Bridge Hunter

Roads: Safety & Incident Management

  • Bridge Hunter and Bridge Doctor algorithms locate bridges of interest and diagnose their structural integrity

  • Damage detection algorithms using high-resolution satellite imagery, offers timely coverage

  • These tools have been validated by the UDOT in Salt Lake City

Courtesy ImageCat Inc.


How aerial and satellite remote sensing assist transportation planning and mitigate risks

National Consortium for Remote Sensing in Transportation Security, Safety, Hazards, and Disasters

Roads: Hazardous Materials Transport

Route, Risk, & Vulnerability Assessment

Reduce losses and disruptions arising from hazardous materials transport by improving route, risk, and vulnerability assessments.Deploy an operational, geospatial system that provides enhanced route assessment, risk evaluation, and emergency response capabilities for hazmat transport.


How aerial and satellite remote sensing assist transportation planning and mitigate risks

10

National Consortium for Remote Sensing in Transportation Security, Safety, Hazards, and Disasters

Roads: Hazardous Materials Transport

Current Process and Proposed Deployment Solution

Emergency

Response

Hazmat Route

Selection

Baseline

Data Acquisition

Route Assessment

& Monitoring

TRAGIS & NHMRR

Existing

Approach

N/A

Windshield survey

Spreadsheet format

Evacuation planning

Re-routing

DECISION SUPPORT SYSTEM

TRAGIS & NHMRR

High

Moderate

Low

School

Proposed

Deployment

Integrate NCRST-H

GIT & resources

Extended

Functionality

Online visualization

& quantitative risk analysis


Expected outcomes

National Consortium for Remote Sensing in Transportation Security, Safety, Hazards, and Disasters

Expected Outcomes

Roads: Hazardous Materials Transport

  • Enhanced route assessment methods

  • Migration from spreadsheet to map format in the cab

  • Increased number of route assessment attributes

  • Insertion of risk and vulnerability data in assessment database

  • Migration from road alignment buffer to include sensitive features off-road

  • Online deployment of tools and resources


Specification of nima nga 2001 airport obstruction analysis

National Consortium for Remote Sensing in Transportation Security, Safety, Hazards, and Disasters

200ft

98°

Primary

Surface

98°

1000ft

13899 ft

13899 ft

Runway

42532 ft (7nm)

42532 ft (7nm)

1000ft

Primary

Surface

98°

98°

200ft

Centerline of Runway

Specification of NIMA (NGA), 2001Airport Obstruction Analysis

Airports

Top View


Airfield facilities management

National Consortium for Remote Sensing in Transportation Security, Safety, Hazards, and Disasters

Airfield Facilities & Management

Airports

SBMA w/2.5m

post-spacing

DEM from aerial

photos

SBMA Photo

SBMA aerial photo

w/1m LiDAR DEM post spacings

Courtesy, I.K. Curtis; Airborne-1; and, BAE Systems


Glide path visualization

National Consortium for Remote Sensing in Transportation Security, Safety, Hazards, and Disasters

Glide Path Visualization

Airports


Obstruction identification

National Consortium for Remote Sensing in Transportation Security, Safety, Hazards, and Disasters

Obstruction Identification

Airports

Santa Barbara Municipal Airport

Yellow = Terrain obstructs

Red = Point obstructs

Orange = OIS


Contact information

National Consortium for Remote Sensing in Transportation Security, Safety, Hazards, and Disasters

Contact Information

NCRST-H

Stan Morain, PI

[email protected]

Amelia Budge

[email protected]


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