delivering solutions validation of aerial lidar products ... · utilized to constrain lidar data

31
Creating Value … … Delivering Solutions Validation of Aerial LiDAR Products For Transportation Applications Dr. Srini Dharmapuri, CP, PMP – Michael Baker Jr., Inc. Lauren Little, PE – Alaska DOT – Public Facility

Upload: vucong

Post on 11-May-2018

221 views

Category:

Documents


2 download

TRANSCRIPT

Creating Value …

… Delivering Solutions Validation of Aerial LiDAR Products For

Transportation Applications

Dr. Srini Dharmapuri, CP, PMP – Michael Baker Jr., Inc. Lauren Little, PE – Alaska DOT – Public Facility

Agenda

1. Requirements

2. LiDAR Technology Background

3. Methodology

4. Deliverables

REQUIREMENTS

ADOT&PF Highway Mapping Data Requirement:

85 mile, 2-lane road corridor LiDAR data collect; Survey ground control; Orthoimagery; Civil3D Digital Terrain Model, certified TINs Breaklines developed through LiDARGrammetry

Engineering quality data Consistent, seamless data Repurposing the data for

additional tasks

Meeting:

Parks Hwy, Elliott Hwy, Dalton Hwy, AK

LiDAR TECHNOLOGY

LiDAR Selective Processing Approach

More efficient creation of deliverables More efficient utilization of project dollars One collection, many options, all customizable and project/budget driven

From a single LiDAR Capture…

Project Workflow

Ground Control

Laser Scanning

Processing QA/QC

Deliverables

Why are LiDAR Technologies Exciting?

Faster collection & mapping turnaround

More cost-effective for appropriate projects

Wider variety of deliverable options

Data able to be used many times

Technology on constant improvement arc

METHODOLOGY

Parks Highway—Area of Interest

10

PROJECT AREA ADOT Parks Highway Mapping--

Proj.128484

Ground Control

Utilized to Constrain LiDAR Data Enhances Overall Accuracy Established via GPS RTK Centerline Profile Cross section profile

13

Hydro-Flattening

LiDAR Data

Breaklines captured using LiDARGrammetry

TIN with Contours

Size of all the .las files (xxxxm X xxxxm) Proper file format and projected to the appropriate

projection and Datum Proper vertical and horizontal units and Datum. Classification Class 1 – unclassified; Class 2 – ground;

Class 7 – low point/noise, overlap Extraction of statistics for each LAS files specifically

for all the classes. Number of Points Min Elevation Max Elevation Mean Elevation Point Density

LAS File Completeness

Spatial distribution of geometrically usable points is expected to be uniform and free from clustering.

A regular grid, with cell size equal to the design NPS*2 (Nominal Pulse spacing) will be laid over the data.

At least 90% of the cells in the grid shall contain at least 1 LiDAR point (first Return).

Data Density should be xx Points/Sq meter

1mX1m grid should have the requisite number of points

Percentage = Number of grids meeting criteria in each LAS file /Total number of grids in each LAS file

Data Void Validation

BREAK LINE ACCEPTANCE CATEGORY PASS/FAIL

Check for monotonicity of hydro breaklines. Automated

Verify that breakline vertices have z values equal to or less than the surrounding ground points.

Automated

Vertices should not have a 0 or null elevation

Automated

Culvert breaklines must snap to stream endpoints on both sides, and have the same elevation as the stream breakline at the snapping location.

Automated

Validation of Break Line

Accuracy Road Centerline Data

21

Value In feet

Average dz -0.052

Minimum dz -0.345

Maximum dz 0.278

Average Magnitude 0.097

Root Mean Square 0.119

Std Deviation 0.108

ADOT Parks Highway Mapping

Observed Accuracy – Dalton Highway

Value In feet

Average dz -0.052

Minimum dz -0.345

Maximum dz 0.278

Average Magnitude 0.097

Root Mean Square 0.119

Std. Deviation 0.108

Observed Accuracy – Parks Highway Number Easting Northing Known Z Laser Z Dz

ARR 410 1823062.410 3546276.930 1826.400 1826.430 +0.030

DA 101 1784062.210 3760259.480 565.790 565.960 +0.170

DA 102 1798792.050 3610006.290 1452.930 1453.010 +0.080

DA 103 1835744.140 3459445.400 2154.530 2154.400 -0.130

DA 104 1754570.330 3367478.460 2111.350 2111.040 -0.310

PARKS 159.0 1697503.250 3271632.280 1647.420 1647.590 +0.170

PARKS 200.5 1780211.410 3405710.210 2389.840 2390.010 +0.170

PARKS 268.8 1760531.280 3701654.920 887.590 887.420 -0.170

PARKS 296.8 1790373.110 3823737.670 414.600 414.810 +0.210

Average Dz +0.24

Minimum Dz -0.310

Maximum Dz +0.210

Average Magnitude +0.160

Root Mean Square +0.176

Standard Deviation +0.185

Project Amendment AOI #1

24 ADOT Parks Highway Mapping

Deliverables

Survey Deliverables

Field Notes

AutoCAD 2012 .dwg: Survey Profiles, Cross-sections, Control

GPS Raw Data

GPS Reports

Survey Point Files

TIN Certification

Survey Summary

26 ADOT Parks Highway Mapping

LiDAR Deliverables

TINs (AutoCAD Civil 3D)

Survey Data

Drawing Tiles (AutoCAD)

Documentation (LiDAR Control Report, other)

LiDAR Point Cloud (.LAS files)

Intensity Images (GeoTIFF files)

Raw Point Files

27

Items in red text above are delivered to client as of 10/16/12

ADOT Parks Highway Mapping

Intensity Imagery

28 ADOT Parks Highway Mapping--

Proj.128484

Contours with Intensity Imagery

29 ADOT Parks Highway Mapping--

Proj.128484

Contours (Example)

30

ADOT Parks Highway Mapping

Dr. Srini Dharmapuri CP, PMP LiDAR Scientist

Michael Baker Jr., Inc. Beaver, PA

[email protected]

724-544-2144

Validation of Aerial LiDAR Products For Transportation Applications