© 2006, The Sanborn Map Company, Inc. Privileged and confidential information. Distribution or...

1© 2006, The Sanborn Map Company, Inc. Privileged and confidential information.Distribution or copying prohibited unless approved in writing.

CAPCOGLiDAR Workshop

April 12, 2007

Presented by: Jamie Young, Sanborn LiDAR Manager

Andy Lucero, SanbornProject Manager

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Presentation Overview

• Sanborn Summary• LiDAR Background• Applications• Workshop• Open Discussion

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Sanborn Overview

• Oldest mapping company in the US– Colorado Springs, CO

• Full Service GIS Solution– LiDAR

– Aerial Photography

– Orthophotos

– Planimetric/Contour Mapping

• ESRI & QCoherent Business Partner• ISO 9001:2000 Certified Company

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Texas Experience

2006 LCRA Texas Coastal

CAPCOG 1996 - 2008 Base Mapping Projects with special projects for:

City of Austin, Round Rock, Williamson Co., San Marcos, Georgetown, Cedar Park, Taylor, Buda, Lockhart, Hutto and Jarrell

2007 – LiDAR LCRA, COA, COL, Travis Co, COF FEMA Compliant LAS, Intensity Imagery, Breaklines, Contours

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LiDARLight Detection and Ranging

Aerial sensorCollects/scans data, either photons (reflected light) or laser pulses

Aerial GPS (Global Positioning System) Based on GPS satellite triangulation, measures the location of the aircraft up to 0.1 second.

IMU (Inertial Measurement Unit)Measures attitude (pitch/yaw/roll) of aircraft every .002 second.

Ground GPSMeasures the location of the aircraft up to 0.1 second relative to a known ground position

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Sanborn Sensor Experience5 Optech Sensors ranging in repetition rates of 25khz to 50 khz

3 Leica Sensors with repetition rates up to 85khz

3 Propriety systems no longer in production

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Contour generation from Filtered Bare Earth LiDAR and LiDAR DEM Generation for Orthorectification

Bare Earth Surface Model Contours Draped on Surface Contours

Photography draped over LiDAR Data

Contours Draped over Orthophotography

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Transportation Infrastructure planning and management

1-foot Contours Draped over Digital Image

Ground Based LiDAR of Overpass

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Bare Earth Generation for county wide mapping

Bare Earth Data Raw Data

0.7 meters Rural Collection

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Bare Earth Generation for Flood Plain mapping

Raw LiDAR Data Bare Earth Data

0.7 meter collection specification

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Breakline Generation from intensity images for contours and Flow analysis

2 foot contours and Breaklines draped over 1 meter LiDAR generated Intensity Image

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Utility Mapping

Classified LiDAR - Ground, Buildings, Vegetation, Tower, and conductors

Tower, Conductor and vegetation

Classified LiDAR profile of Utility Mapping Project

Oblique Of Classified LiDAR

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Building Classification for 3-D Modeling

Building Surface Model Generated fromLiDAR

0.3 Meter Point Density Collection

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Forestry and Biomass Applications

Bare Earth Surface

Vegetation Canopy draped over Bare Earth Surface

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HCA and Facility Management

Refinery Tank Farm collected at 0.3 meter point density

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Emergency Management Applications

3-D rendering provided by Leica using Sanborn LiDAR Data

Google Earth Image prior to Dam break

LIDAR Surface Model 28 Hours after Dam break

Taum Sauk Dam, Missouri

Image of Dam Break

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Security Management

LiDAR of Bridge at 0.3 meter collection

LiDAR of Mile High Stadium

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Intensity Imagery

Intensity Informationassociated with each point

Provides “ortho like imagery”

Horizontal accuracy isBased on Point densityAnd re-sampling

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Tide Differences

← Tidal difference

← Tidal difference

Tide changes can be edited out and Water is then classified to the water layer

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LiDAR Sterecompilation (Lidargrammetry)

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Vegetation Mapping and Analysis

• Vegetation surface class

• Street tree mapping

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Building Extraction

Morris County, NJ Example

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Water Body Classification

Lake on Map

Lake before classification and elevation averaging

Lake after classification and elevation averaging

ARC Surface Model

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Contour Representation – Filtered vs Enhanced

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Vegetation Mapping and Analysis

• Vegetation surface class

• Street tree mapping

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Lidar Change Detection

Lidar t1Lidar t2

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Data AccuracyVertical accuracy required usually 15-18 cmHorizontal accuracy required usually 50 cm

Typical vertical accuracy achieved are 9-12 cm Typical Horizontal accuracy achieved is 23-27 cm

Data meets accuracy specification

BUT DOES NOT….

Line up between collection areas?

between collection Seasons?

between Different Sensors?

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Data Accuracy

Separate sensor collection versus check point survey

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Thank you!

Graphics provided by Leica