Fusing LiDAR and Imagery: Providing Effective Solutions for Ohio s s Transportation Infrastructure

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1 Fusing LiDAR and Imagery: Providing Effective Solutions for Ohio s s Transportation Infrastructure Dave Blackstone GIS Manager Ohio Department of Transportation Brian Stevens, CP Project Manager Woolpert Inc.

2 The Ohio Statewide Imagery Program Program Participants & Overview Program Examples ODOT Applications and Benefits

3 The Ohio Statewide Imagery Program Participants Partnership between State/Federal Agencies Shared resource agencies using the same dataset, same accuracy, same quality Reduce or eliminate duplication of effort agencies apply funding a single time for multiple applications Pool funding to achieve greater goal obtain a higher level of products that are shared between agencies

4 The Ohio Statewide Imagery Program Overview

5 Ohio Statewide Imagery Program Highlights 41,276 Square Mile Project Area across 88 Counties LiDAR used exclusively to rectify digital imagery and to support the generation of 2-foot contours CORS/VRS Base Stations (administered by ODOT) supporting airborne/ground GPS across the entire State 26 of the 88 Counties opted to upgrade (to 0.5-foot imagery)

6 OSIP Program Specifications Base Project Statewide 1 =200 scale color digital Orthophotography at 1-foot pixel resolution. Statewide 1 =1,000 scale color Infrared Orthophotography at 3-foot pixel resolution Statewide DEM derived from LiDAR Metadata (FGDC) Northern Tier Southern Tier 2007 Buy-up Options 1 =100 scale color digital orthophotography at 0.5-foot pixel resolution DTM and 5-foot and/or 2-foot contouring

7 Program Delivery Schedule Northern Tier December 2006 Southern Tier December 2007

8 Program Technology/Equipment Leica ADS40 Camera Sensors Leica ALS50 LiDAR Sensors

9 Imagery and LiDAR Acquisition

10 1.0-Foot Pixel 1 =200 Scale Flight Missions 2006 Flight Mission 2007 Flight Mission

11 1 =200 Scale Flight Acquisition ADS40 Camera Systems Push Broom

12 Light Detection And Ranging (LiDAR( LiDAR) (Derived Elevation Models) LiDAR Shaded Relief Model Contours 3D Imagery

13 Ohio LiDAR Acquisition Obtained LiDAR at an average of a 2-meter post spacing Bare-Earth Surface DEM/non-Ground LiDAR DEM was used for ortho rectification Bare-Earth Surface DEM is suitable to support the generation 2-foot contours

14 LiDAR Generated Delivery Products Bare-Earth Surface DEM in ArcGrid (binary) Format Bare-Earth Surface DEM in ArcGrid (ASCII) Format Classified LiDAR Data in LAS Binary File Format The LAS file format is a public file format for the interchange of LIDAR data.

15 Program Acquisition Team Companies involved in acquisition Woolpert Inc. - Prime Northwest Geomatics, Horizons, EarthData, PSI Aircraft involved in acquisition ½- & 1-foot imagery: 6-8 LiDAR: 3-4

16 The Ohio Statewide Imagery Program Examples

17 1 =200 Scale Digital Orthophotography City of Lima, Ohio Interstate inch Pixel Resolution Ortho Imagery (Ortho Tile: 5,000 x 5,000 )

18 1 =200 Scale Digital Orthophotography Zoom City of Lima, Ohio Interstate 75 Interchange 12-inch Pixel Resolution Ortho Imagery

19 1 =100 Scale Digital Orthophotography City of Columbus, Ohio 6-inch Pixel Resolution Ortho Imagery (Ortho Tile: 2,500 x 2,500 )

20 1 =100 Scale Digital Orthophotography City of Columbus, Ohio 6-inch Pixel Resolution Ortho Imagery

21 1 =100 Scale Digital Orthophotography City of Columbus, Ohio 6-inch Pixel Resolution Ortho Imagery

22 1 =1,000 Scale Digital Orthophotography Cleveland, Ohio 3.0-Foot Pixel Resolution Color Infra-red red Ortho Imagery

23 Digital Orthophotography & Contours City of Lima, Ohio Interstate 75 2-Foot Contours and Spot Elevations (created from 3D breaklines and LiDAR Mass Points)

24 LiDAR Shaded Relief Model City of Cleveland, Ohio Blue shading = low elevations; Red shading = high elevations

25 The Ohio Statewide Imagery Program ODOT Applications & Benefits Predictive Modeling & Preliminary Engineering

26 The Ohio Statewide Imagery Program ODOT Applications & Benefits Utilizing homogenous imagery dataset for road/crash analysis. Utilizing LiDAR for road/highway projects, in many instances replacing traditional project preparation, which is reducing time, effort and project costs. The Office of Production is using the data for planning & engineering studies including: new road alignment, cross section cut and fill, survey for cross section and volume information.

27 The Ohio Statewide Imagery Program ODOT Applications & Benefits The Office of Environmental Services is investigating the use of LiDAR to help identify archeological sites Studying the use of LiDAR in hydro modeling for the replacement of culverts by calculating the flow through culverts Use of LiDAR to build predictive models on landslides (slope/grade, soil type etc.) Prediction and Prevention of Mine Subsidence (determine distance between the top of the mine and the surface).

28 LiDAR for Predictive Flood Modeling City of Columbus, Ohio Olentangy River/Route 315/OSU Campus

29 LiDAR for Predictive Flood Modeling City of Columbus, Ohio Olentangy River/OSU Stadium Profile

30 LiDAR for Predictive Flood Modeling City of Columbus, Ohio River Elevation (715ft 725ft)

31 LiDAR for Predictive Flood Modeling Bluffton, Ohio During the Flood (August 21, 2007) Images courtesy of the Allen County Engineer s Office

32 LiDAR for Predictive Landslide Modeling Fairfield County, Ohio Interstate Route 33 LiDAR Elevation Relief Model

33 LiDAR for Predictive Landslide Modeling Fairfield County, Ohio Interstate Route 33 Color Coded based upon Degree of Slope

34 LiDAR for Predictive Landslide Modeling Fairfield County, Ohio Interstate Route 33 Color Coded based upon Degree of Slope

35 LiDAR for Predictive Landslide Modeling Fairfield County, Ohio Interstate Route 33 Cross Section/Profile View

36 LiDAR for Predictive Obstruction Modeling City of Cleveland, Ohio 3D Building Extraction/Extrusion Crash Analysis

37 LiDAR for Predictive Obstruction Modeling Airport Arrival & Departure Zones ANA surface superposed on LiDAR intensity surface ANA surface vs. LiDAR elevation surface Identified obstruction

38 LiDAR for Predictive Line-of of-sight Modeling Cleveland, Ohio Yellow: visible From Brown s Stadium Blue: visible From Key Bank Building Pink: visible From Brown s Stadium and Key Bank Building

39 LiDAR for Archeological Identification/Discovery Licking County, Ohio Shaded Relief Color Coded Model Image courtesy of the Ohio Archeological Council

40 LiDAR for Archeological Identification/Discovery Licking County, Ohio Octagon and Observatory Circle Indian Mounds Shaded Relief Color Coded Model Images courtesy of the Ohio Archeological Council

41 Preliminary Engineering Program Benefits Determination of Potential Alignments Determination of Cut and Fill Estimates Reduction in field survey activities

42 Preliminary Engineering Program Benefits (Continued) Substantial cost savings Typical savings per project site: $25K - $50K Substantial time savings Typical traditional turn-around timeframe: 4-months Turn-around timeframe implementing the use of LiDAR: 4-weeks

43 GIS Application and Return-on on-investment Ohio Turnpike utilizing the homogenous Statewide dataset to create a seamless GIS data program Benefit to the Turnpike/State of Ohio: Shortened Timeframe and Cost Savings Estimated cost savings with the State Program: ~45% Estimated time savings, 8-10 months

44 Tuscarawas and Muskingum Rivers Huntington COE Flood Control Projects Bolivar Dam, Dover Dam, Mohawk Dam, Beach City Dam, and Zoar Levy H & H modeling - Dam failure, Down stream impact, emergency response/operations Environmental Study Stream Bank Erosion Deliverables DTM, Hydro, Bridges Cost: $65K ($150K) Savings: ~$85K Schedule: 3 months (9 months) Savings: 6 months

45 Future LiDAR Modeling Applications Landcover Classification

46 Future LiDAR Modeling Applications Impervious Surface Classification

47 Questions?

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