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8/4/2019 Automation of Topographic http://slidepdf.com/reader/full/automation-of-topographic 1/18 Developments in Topographic Data Management & Mapping in Queensland Australia Peter Lennon General Manager, Land Information

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Page 1: Automation of Topographic

8/4/2019 Automation of Topographic

http://slidepdf.com/reader/full/automation-of-topographic 1/18

Developments inTopographic

Data Management& Mapping

inQueensland Australia

Peter LennonGeneral Manager, Land Information

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For discussion today

• The Size Problem

• Business Process Review

• Findings

• Progress of Changes

• Issues• Longer Term View

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The Size Problem

Queensland (1.853m km2) is a large state of Australia and is roughly equivalentin land area to the whole of Indonesia ( 1.9m km2)

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OR the total area of:Malaysia (0.329mkm2) +

Thailand (0.514mkm2) +Myanmar ( (0.678mkm2) +

Cambodia (0.181mkm2) +Vietnam (0.329mkm2)

Population of only4 million people!

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•The capture, management andmaintenance of topographic

information over such a vast areahas been a struggle.

•After 25 years, only managed to

map 10% of the total area ofQueensland – (Green – 25kscale)

•Struggling to maintain that.

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Initiated a Business Process Review(BPR) – BPR Findings:

• Current Topographic Program – FAILING!

 – Limited Coverage of State – Struggling to Maintain Existing

Data Currency

 – Programmed Coverage – 

Patchy and Inconsistent

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• Automation – Key Changes

 – Focus on Data Capture and less on Specific Map Products

 – Capture Topographic Data in Themes

 – Capture Data to a Seamless Database &Target Whole of

Queensland Coverage by Themes where available – Utilise all Sources of Data, taking advantage of existing

data sources – if someone has the data obtain it fromthem – don’t re-develop the data – don’t go through timeconsuming identification processes

 – Simplify Data Capture

 – Let contours portray the geography – limit symbology – Automate Data Capture as much as possible – utilise

satellite & aerial imagery – utilise automated imageryclassification techniques

 – Complete Data Feature Attribution – smart data

 – Limited Field Check – if any – Alignment of Data Capture with Government Priorities togarner support

 – Risk a Lower Level of Cartographic Quality in order toAchieve the Objective of Improved Topographic DataCurrency and Coverage

BPR Findings:

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Progress withAutomated Topo Processes

• Concept & Workflow Changes – theme basedseamless data capture, more coordination required,acquisition of data from new sources – point of truth

• Established New Relational database – InformixDatabase

• Data being converted with full data attribution – full metadata, intelligent data

• New compatible data structure established

• Text manipulation software in place – Label-EZ,-Contour & -Edit

• VBA tools developed to automate basic repetitive tasks

• View/Compilation environment – Web Browser,

GIS system

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• New efficiencies being realised - Considerably lessproduction time

• A degree of “Scalelessness” - Greater variety of mappingoptions – Scale, Layers/Themes and Formats

• Cost effective print runs – print only what you need – print/plot on demand

• Data capture coordination, sourcing & sharing with otheragencies – reduced duplication of data capture – easysharing

• Similar quality product to the old manual paper basedproduct

• Digital topo data allows integration with other systems andother data – finding new uses for topo data – newcustomers – new importance to topo data capture

• Compatible with the trend to on-line mapping

Results

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ManualMappingSample

Output

AutomatedMappingSample

Output

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ManualMappingSample

Output

AutomatedMappingSample

Output

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ManualMappingSample

Output

AutomatedMappingSample

Output

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ManualMappingSample

Output

AutomatedMappingSample

Output

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Issues

• Increased Requirement for Coordination - Process Coordination – 

Workflow Coordination – Coordination with aligned business areas• The new sources of data - not always so good – rely on principle of

point of truth for data sets

• Perfectionists• Distractions – higher priority work

• Need to continuously sell the benefits of developing and maintaininggood quality spatial information – economic benefits as well as social

benefits

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Longer Term Prospects

• Greater Coverage & Currency of Topo Data for Queensland

• Automatic feature identification from sensor data

• Swath of 25k data & map products along coastline

• Introduction of 50k scale data & map products further inland and

parallel to coastline• Print/Plot on Demand Capability to Map Shops – from data

• On-line access to data?

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Next IMTA Asia Pacific ConferenceGold Coast, Queensland 1st - 3rd November 2007

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Thankyou

Questions?