the arabian canal experience - uni- · pdf file · 2016-06-30the project: arabian...
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Mobile Mapping for Earthworks
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A Case Study on the Convergence of y gPhotogrammetry with Advanced
Positioning Techniques for MaximumPositioning Techniques for Maximum Productivity and Accuracyy y
The Arabian Canal Dr. Nedal Al-HanbaliExperience
Introduction
| This paper presents a case study on the efficiencies and practicality of using mobile mapping on a large scalepracticality of using mobile mapping on a large-scale Earth moving project for Real Estate development
| Mobile Mapping: Collecting geo-spatial measurements | g g gfrom a moving platform using advanced photogrammetric and positioning technology
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Overview
| The Project| The Challenge| The Solution: Mobile Mapping| pp g| Quality Control Methodology| Sample Data Products| Sample Data Products| Accuracy Assessment| Sample Final Deliverables| Sample Final Deliverables| Summary
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The Project
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The Project: Arabian Canal, Dubai
Dubai
75 km man-made canal complete with terraced
Palm Jumairah
Waterfront
Jebel Alicomplete with terraced landscaping Mixed use real estate, d l d b f thdeveloped by some of the worlds top firms Arabian Canal
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http://www.arabiancanal.com
The Project: Arabian Canal, Dubai
Li itl ibl fLimitless responsible for managing the overall design and construction, as well as developing an area in excess of 10,000 hectares
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The Project: Arabian Canal, Dubai
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The Project: Arabian Canal, Dubai
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The Project: Arabian Canal, Dubai
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The Challenge
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The Challenge: Earthworks Monitoring
| Canal Completion within 3 to 5 years| Canal Completion within 3 to 5 yearsRequires 24 hours operation, 7 days a week!
| Earthworks monitoring:| Earthworks monitoring:Monitor and measure dig and deposit on 24 hour cycle for
– Progressg– Visualization (quality control, marketing)– Invoicingg
| Data Requirements:Absolute accuracy 10 cm RMS (minimum)
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Depths up to 55 mWidths greater than 300 m, depending upon slope
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| Collection Constraints:Only able to collect data between shift changes
Dr. Nedal Al-Hanbali
No guaranteed access to edge of canalHuge area to collect: 100 hectares within hours
Data Collection Options
| Static survey (Total Station/GPS/3D Scanner)Pros:
– Proven technology– High accuracy– Relatively low capital costs
Cons:– Many crews and equipment to cover large area => high
personnel costs, many data sets to merge, logistical nightmare for quality control
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– Access required to edge of canal, in canal among large earth moving equipment => dangerous
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Data Collection Options
| Mobile Mapping (helicopter and/or vehicle based photogrammetry and LIDAR)
Pros:– No set up required => fast– Only 1 or 2 data sets to merge/quality control => high reliability– Single pilot or driver => low personnel costs
O t f i t l ffi i t– One set of equipment can cover large area => efficient– Remote acquisition => safe
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– Relatively High capital costsUnproven accuracy
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– Logistically complex and expensive (esp. airborne)
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Trade-off Studyy
| Analysis showed:Significant risk static methods could not complete collection in required times
– Could result in huge cost overruns if progress delayed and not detected in time
Improved efficiencies of mobile over large area should offset higher capital costsFairly low risk accuracy could not be met by mobile
| Conclusion:
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Employ mobile mapping to eliminate schedule riskReduce accuracy risk by deploying airborne and land systems for
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redundancy
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The Solution
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Choosing the Right Mobile Mapping Sensors
| Like in static surveying, many different options available to do a job| Some are very expensive!| Challenge is to understand the requirements well enough to choose
those sensors that meet the requirements while at the same time i i i i i lminimizing capital cost:The right tool for the job
| How to do this? Come to PhoWo to learn what is state of the art in
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Airborne Requirements
| Provide orthophoto Maps of construction area for planning and visualization:
Ground Sample Distance: 10 cm (max), Ortho accuracy 12 cm RMSRMS.
| Provide point measurements for volume calculations of cut/fill areas:areas:
Points spacing 25 cm to 1.5 m, accuracy 10-12 cm RMS (max)Altit d f 200 t 450Altitudes from 200 to 450 m
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Airborne System: Applanix DSS + LIDAR
| Applanix DSS 439 camera system plus Q240i Laser scanner system mounted in Bell 206 heli pod
| Complete workflow software to generate orthomosaic maps, DEM, filtered point clouds ready for volume calculations
| Reasons: DSS a turn-key, low-cost fully integrated mapping solution with GNSS, IMU, Flight Management system and ortho mapping
ft ti GSD d i tsoftware meeting GSD and accuracy requirementsDSS is certified mapping grade by USGSQ240i t i t l d d it d i t
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at relatively low cost
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| Deliverables: Maximum One Week from flying
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Airborne System: Applanix DSS + LIDAR
GNSS Antenna
El t i
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Electronics
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Pod with Camera and Laser
Terrestrial Requirements
| Provide point measurements for volume calculation of cut/fill areas| Collection within one hour or less| Ranges up to 300 m| g p| Point spacing 25 cm to 1.5 m, accuracy 10 cm RMS (max)| Accuracy must be maintained even at bottom of dig with GPS| Accuracy must be maintained even at bottom of dig with GPS
satellites highly masked| Georeferenced videolog of scanned area for visualization| g
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Terrestrial System: Trimble LANDMark
| Trimble LANDMark mobile mapping system configured with single video camera and Q240i laser scanner, highest accuracy RLG IMU (POS LV 610)
| Complete workflow sw for georeferencing video, and same workflowas airborne system for generating filtered point clouds
| R| Reasons: Only needed single camera and scanner since always driving in
d t f d diand out of or around digQ240 meets point cloud density requirements and accuracy at low cost
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Only highest accuracy IMU could maintain position accuracy during outages
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Terrestrial System: Trimble LANDMark
GNSS Antenna
Electronics
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Pod with Camera and Laser
Key Featuresy
| Same laser scanner used in air and on groundBuilt-in back upConsistent error characteristics
| Same georeferencing workflow (Differential GNSS - Inertial processing)p g)
| Same workflow used to generate/filter point clouds, generate DSM and do volume calculations
Check DSM accuracy against each otherMerge data sets
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Quality Control
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Quality Control Methods
| Establish dedicated network of GNSS stations| Establish control points in and around project areas:
PermanentTemporary
| Establish local V datum and use throughout entire project| Establish local V datum and use throughout entire project| Validate map and point cloud products against each other, control
points and V datum, before generating final productsp , g g p
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GNSS Reference Station Layout
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Vertical Datum
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Why GNSS is poor… (and QC so important!)
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Sample Data Products
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Typical DSS Trajectory
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Sample LANDMark Trajectory
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Orthomosaic Map of Dig
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Detail
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Digital Surface Model (Airborne)
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Digital Surface Model (Airborne)
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Orthomosaic Map of Deposit
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Digital Surface Model (Airborne)
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View of Dig
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Local Hazards!
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View of Dig
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View of Dig
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Georeferenced Video
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Georeferenced Video
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Digital Surface Model (Terrestrial)g ( )
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Digital Surface Model (Terrestrial)
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Accuracy Assessment
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Accuracy Assessments
| Method 1: Traditional GCP analysis established using GPS (orthomaps and DSM)
| Method 2: Utilize car mounted RTK GNSS to get very dense point clouds of chosen areas and rings around the site (ie use RTK GNSS to create a reference surface model to compare to LANDMark and DSS LIDAR DSM)DSS LIDAR DSM)
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Checkpoint Analysis
Relative Position of Check Points
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Surface Analysis
Relative Position of Check Points
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Typical Results, Vertical
Histogram FrequencyDSS System
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area%0 7582 0 9588 0 99170
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Landmark SystemHistogram
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Vertical Accuracy Results
| Results from various tests for both LANDMark and DSS systems:Average height offset: 6 to 8 cmg gStandard deviation: 3 to 6 cmRMS: 8 to 9 cmRMS: 8 to 9 cm
| Notes: systematic errors in GPS measurements are about 2 5 cm based
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on various aspects related to antenna base height due to terrain tilt (car tilting to one or to the other side); air-tires level.
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In the area under heavy machinery work, errors vary from 5 to 15 cm due to Truck operation in the AOI changing ground heights.
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Final Deliverables
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Planning Map
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Active Areas Map
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2D Progress Map
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3D Progress Map
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3D Progress Mapg p
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2D Progress Map
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3D Progress Map
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3D Progress Mapg p
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3D Volume Map, Dig
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Cut/Fill Area wrt Base Survey
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3D Volume Map, Deposit
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Cut/Fill Areas wrt Base Survey
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Progress Snapshot
October 2008 January 2009
March 2009
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Summary
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Conclusion
Limitless Geomatics Information System Department has proven that an integrated i b d l d bil i t i th f d h f th kairborne and land mobile mapping system is the preferred approach for earthwork
monitoring for the Arabian Canal project:
ITraditional earthwork monitoring surveying techniques imposed a significant risk as far as data acquisition completion during the allocated time.ITraditional techniques could have resulted in huge cost overruns if earthwork progress had been delayed and not detected on time.IHigher mobile mapping system cost is well absorbed due to its efficiency overIHigher mobile mapping system cost is well absorbed due to its efficiency over traditional techniques, especially in large areasIMobile Mapping systems provide high accuracy and short turn around compared t t diti l t h i
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IMobile Mapping systems eliminate schedule riskIIntegrated Airborne/land mobile mapping systems reduce any accuracy risk due
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to their complementary nature.
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Results to Date
| The airborne DSS system can collect 25 km^2 within four hours of fl i hil th LANDM k t 100 h t d iflying, while the LANDMark system covers 100 hectares mapped in an hour
| Final 3D map products meeting accuracy requirements for volume calculation are routinely produced within 1 week:y p
I Current bottlenecks are in the point cloud filtering and redundancy checkingI Efforts are underway to automate both and reduce turn-around time to < 3 days
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| Proven ability to produce accurate measurements in a short time reinforcing our distinctive innovative
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approach to development.
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