value added applications for optech sensors

Copyright © 2013 Merrick & Company - All rights reserved.

PRE0101 2

Summary of Merrick & Company GeoSpatial Market Sector Team

A brief background on the data - the 2011 NERC alert mandate

The Merrick suite of remote sensors optimized for data collection of electric transmission facilities

The MARS® tools designed for production and analyses of transmission facilities data Power line detection and QA/QC tools

Power line LiDAR QC report - report on LAS statistics (by Tile)

Optimum image selection tool

Presentation Overview


PRE0101 3

500 employees at 12 National and 4 International offices

Merrick & Company Office Locations


PRE0101 4

LiDAR acquisition & processing (airborne)

High Definition Scanning (terrestrial)

Photogrammetric mapping

Imagery acquisition & processing RGB

Multispectral

Hyperspectral

Thermal

Orthophoto processing

Multi-sensor data fusion

Satellite imagery

MARS® software

Application development

Programming

MARS® LiDAR processing software

Unlimited Detail Data Visualization and Management - Euclideon Geoverse

Surveying

UAS mapping

GeoSpatial Solutions & Capabilities


PRE0101 5

BU Leader Brian Raber, CMS, GISP, GISS – Vice PresidentDisciplines Photogrammetry, LiDAR, Satellite Imagery, GIS Solutions, Remote

Sensing, Software Development & SalesKey Offices Greenwood Village, CO

Colorado Springs, CO Guadalajara and Mexico City Albuquerque, NM

Markets($18.7 millionSales – FY2013 ending 04/13)

Local Government (11%) Federal Government (9%) Private (2%) Water (4%) Energy (40%) International: (34%)

Core Clients TVA, USGS, FEMA, TNRIS Xcel, Tri‐State, WAPA, Idaho Power, PNM SEMAR, INEGI CFE, PEMEX

Cook County, IL., Tallahassee, FL NRCS Nebraska / Oklahoma USACE Mobile, Omaha Districts HDR,URS

Number of Professionals: 56

GeoSpatial Solutions Market Sector Team Facts


PRE0101 6

National Electric Reliability Corporation (NERC), entity empowered by the U.S. Federal Energy Regulatory Commission (FERC).

Image courtesy of Argonne National Labs

National Electric Reliability Corporation (NERC)


PRE0101 7

NERC Mandate - April 2011

Image courtesy of http://www.technet.pnnl.gov/sensors/electronics/projects/images/electronics477_large.jpg

Electric power transmission owners survey actual field conditions to determineelectric power transmission facilities (> 100 kV) are built as designed and to ensure compliance with reliability standards.


PRE0101 8

Electric power transmission owners survey actual field conditions to determineelectric power transmission facilities (> 100 kV) are built as designed and to ensure compliance with reliability standards.

NERC Mandate - April 2011

Image courtesy Wikipedia

Toronto, on evening of August 14, 2003 blackout


PRE0101 9

Why LiDAR Technology?

Repeatable, accurate, and dependable technology

Cost effective for system/large circuits

Technology very good at collecting and measuring transmission features: structures, insulators, attachment points, vegetation, and ground


PRE0101 10

Typical LiDAR densities for electric power line collection range from 20-30+ points per square meter

In general, the more density the better for feature collection, definition, and extraction


PRE0101 11

2010 - Merrick integrates a suite of sensors onboard a helicopter platform

Designed to fulfill the aerial mapping needs of our electric transmission clients

Merrick’s Helicopter Suite of Sensors


PRE0101 12

A TAC 60 MP nadir camera (for visible color orthos)

(2) CS-4800 interline CCD cameras, forward oblique


Orion C200 LiDAR system

CS-MS1920 false color infrared interline transfer CCD (810, 550, 670 nm)


PRE0101 13


AIMMS 20 meteorological sensor Cloud Cap gimbaled video camera


PRE0101 14



PRE0101 15

Data visualization, management & processing application Developed specifically for LiDAR data in 2002

Merrick’s Production Engine for processing LiDAR data

MARS® license and technical support included with project

Merrick’s Advanced Remote Sensing (MARS®) software


PRE0101 16

Application Highlights Stand-alone software application, no third party software required

No file size limitation

Rapid response to customized programming needs Allows multi-core data processing to maximize performance of PC

hardware

Provides support for WMS imagery (ex. Bing Maps)

Visualize & process airborne, terrestrial & mobile LiDAR datasets

Natively supports LiDAR (LAS v1.1 – v1.4, imagery (RGB & hyperspectral, thermal) and GIS vector datasets – Data Fusion

Robust QC Module for USGS specifications

Merrick’s Advanced Remote Sensing Software (MARS®)


PRE0101 17

Merrick MARS® software for electric transmission facilities data post-processing.

Power line detection and QA/QC tools Power line LiDAR QC report - report on LAS statistics (by

Tile) Optimum image selection tool


PRE0101 18

MARS® Power Line Tool

For the point cloud classification of transmission facilities and QA / QC of classification results.


PRE0101 19

Workflow

Begin with centerline file and bare earth points to seed the process

Test filter settings in localized area. Once optimized…

Line / facilities detection filter over larger region

QA / QC windows are launched for manual clean-up

Attachment points are classified




PRE0101 20




PRE0101 21

Primary MARS® data window QA / QC tower side view QA / QC tower front view

QA / QC tower nadir view QA / QC structure to structure span view

QA / QC Viewer



PRE0101 22

QA / QC Viewer Each window is dynamic

Points can be filtered and view extents, scale and rotation can be changed



PRE0101 23

MARS® Power Line QC report - Report on LAS Statistics (by Tile)


PRE0101 24

MARS® Power Line QC report - Report on LAS Statistics (by Tile)

Black line items: Points exist on a required class. We expect to have points on this class.

Teal line items: Points do not exist on a required class. This flags a potential issue. Classification of the transmission facilities is incomplete.

Red line items: Points exist on a non-required class.Another potential issue. This may be okay for outlier or erroneous points.


PRE0101 25

MARS® Optimum Image Selection Tool


PRE0101 26

Begin with a calibrated camera model

Create an exterior orientation file with position and attitude for each image exposure station

Project the image footprint on to a surface Surface must be in same coordinate

system / units as LiDAR bare earth

In Optimum Image Selection Tool Image with shortest slant-range to given

horizontal coordinate (E, N) is selected

Image ID is either written to point shapefile attribute table or called up in viewer window



PRE0101 27



PRE0101 28

Calibrated exterior orientation file for aft oblique camera.



PRE0101 29



PRE0101 30

Projected aft oblique image footprints in OrthoMaster.



PRE0101 31

Projected aft oblique image footprints cleaned up for export. Note the images captured during the turn have been omitted



PRE0101 32

An image footprint file



PRE0101 33



PRE0101 34

An output transmission tower shapefile attributed with the optimum oblique image pair

The optimum oblique image captures the structure with the highest resolution possible (i.e. nearest to the heel of the oblique)



PRE0101 35


PRE0101 36


PRE0101 37


PRE0101 38

Thank you….any questions?

Josh Nimetz, CMSMerrick & Company

303-353-3650

[email protected]

For MARS® sales and technical support, contact:

Mark Stucky, GISPMerrick & Company

303-353-3662

[email protected]

www.merrick.com

value added applications for optech sensors

Technology

qa qc

merricks helicopter suite

point cloud classification

merrick

classification results

image courtesy

transmission facilities

las statistics