schedule 2 - activities · schedule 2 - activities 1. ... (sunpoz) into a regional ... real-time...

Deed of Variation | CRC for Spatial Information | June 2015 page 1

Schedule 2 - Activities

1. Overview (clause 1.1)

The research program of the Cooperative Research Centre for Spatial Information - 2 (CRCSI-2) is

designed to meet three strategic objectives for spatially enabling Australia. These have been developed

following extensive consultation with all of Australia’s spatial industry peak bodies and has their strong

support.

The first objective is to conduct the research that will support the creation of a coordinated national

network of satellite system reference stations to permit real-time positioning at two centimetre accuracy

providing precise positioning of people, vehicles, built infrastructure and natural assets across the nation.

This is to be known as the National Positioning Infrastructure. Allen Consulting (2008) estimates the

cumulative gross benefit to Australia from this development is at least $32 billion over 20 years.

Realising such a network requires substantial research to optimise use of existing and new reference

stations, including the 75 new positioning satellites being launched by Europe, Russia, China, Japan and

India over the next five years.

The second objective is to establish a fully functioning market place for spatial information, to be known

as the Australian Spatial Marketplace strategy. This will enable government agencies to lift the licensing,

governance and technical restrictions on providing the vast stores of existing government-held spatial data

to the open market and to encourage other users to trade and value-add their data as well. ACIL Tasman

(2008) estimate that the spatial information industry contributes about $10 billion to GDP, but state that

this could be 50% greater if Australia improves access to, and development of, its spatial information,

amongst other developments.

There is a pressing need to combine in smarter ways the existing data stores with the rapidly increasing

stream of data from earth observation satellites, airborne imaging platforms, and ground-based sensor

systems and to increasingly automate the production of essential spatial information products. This is the

third key objective.

CRCSI-2 assembles a powerful array of partners and stakeholders, including the peak government body

ANZLIC and its member jurisdictions; 68 spatial companies through 43pl; the peak industry association

Spatial Industries Industry Association (SIBA) with its 500 member companies; the peak professional

body, the Surveying & Spatial Sciences Institute (SSSI), representing 4,000 spatial professionals; and the

Australian Spatial Consortium. In addition six Australian Universities have joined the bid. CRCSI-2 will

bring rapid and powerful collaboration on all critical research and education issues that involve a spatial

aspect, and by doing so accelerate the take up of spatial science in key end-users, and spawn major

innovation and productivity advances in five key industry sectors: Health, Defence and Security, Energy

and Utilities, Urban Development, and Agriculture-Natural Resources-Climate Change

The expected economic benefits from all programs totals $305,311,385 based on costs for all programs of

$186,792,935 over a 15 year period. This gives a benefit:cost ratio of 1.63. The research also has

significant broader societal benefits. The health related outputs will contribute to improved health

planning assisting Australia shift from a focus on clinical health to preventative health. The defence

related outcomes strengthen our indigenous intelligence capacity and provide an analysis capability that

we do not currently possess. The environmental research grows our ability to assess and manage biomass,

to better manage the use of water, and to create more sustainable cities, all critical components of the

strategy to manage global climate change.


2. National Research Priorities (clause 1.1)

NRP Theme Associated NRP priority goal(s)

Research Program 1:

Positioning

Frontier technologies for building

and transforming Australian

industries

Safeguarding Australia

Frontier technologies

Smart information use

Promoting an innovation culture and

economy

Critical infrastructure

Research Program 2

Automated Spatial

Information Generation



industries

Frontier technologies


Research Program 3

Spatial Infrastructure



industries

Safeguarding Australia



economy


Research Program 4

Spatial Information

Applications

An Environmentally Sustainable

Australia



industries

Safeguarding Australia.

Promoting and maintaining good

health

Water – a critical resource

Transforming existing industries

Responding to climate change and

variability

Reducing and capturing emissions in

transport and energy generation



economy


Protecting Australia from terrorism

and crime

Preventive healthcare

Strengthening Australia’s social and

economic fabric


3. Milestones (clauses 1.1 and 4.1(d))

3.1 Research Program No. 1 - Positioning

The Positioning program is designed to enhance the performance, uptake and long term operational

capability of the national positioning infrastructure; it consists of three related and complementary

research projects.

Key activities in this program include the development of algorithms, models and software to facilitate

the optimal acquisition, processing and analysis and utilisation of multi-constellation GNSS data and the

integration of research activities with end-user requirements.

Key education activities include the training of 11 PhD students (in the fields of satellite positioning and

geodesy), along with training of and knowledge transfer to program participants and end users.

Output No. 1.1 Description

Development of algorithms, software, procedures and operational standards to create new services

and products built on next generation GNSS data.

A complete positioning infrastructure will require that next generation GNSS signals be acquired and

communicated to a central site (or sites) for processing and analysis. This data will be used, in

combination with data from other sources, to create new products and value added services - to be

supplied to users, under appropriate business models. Output 1.1 will provide the computational

capability to optimally manipulate next generation GNSS data to service the operational needs of a

diverse and expanding user community. New principles and standards for operation will also be

developed along with revised scientific foundations to support the geodetic requirements underlying the

development and implementation of a national positioning infrastructure by governments and industry.

Output Milestones Due date

R1.1.1 Develop, implement and test a solution to the vertical datum harmonisation

problem at the land-sea interface.

R1.1.2 Report on relationship between Australia Height Datums

2009-10

R1.1.3 Analysis Centre Software (ACS) architecture finalised, development tasks scoped

and allocated to research teams 2010-11

R1.1.4 25% of ACS functionality completed 2012-13

R1.1.5 50% of ACS functionality completed

R1.1.6 Software to generate Regional orbit and clock models for four GNSS

constellations (eg GPS, Glonass, Beidou, QZSS satellites) completed

2013-14

R1.1.7 Software to generate Regional orbit and clock models for two GNSS

constellations (eg GPS, Glonass) completed

R1.1.8 Recommendations made to government partners regarding a new dynamic 3D

datum for Australia

2014-15

R1.1.9 Version 1.0 of ACS released for initial beta testing

R1.1.10 75% of ACS functionality completed 2015-16

R1.1.11 National ACS software training sessions held to train users (at least 4 sessions in

capital cities) 2016-17



R1.1.12 GNSS network design tool released for initial beta testing

R1.1.13 100% of ACS functionality completed

R1.1.14 Version 2.0 of ACS released for beta testing

R1.1.15 ACS operational procedure guide completed and released to partners

R1.1.16 Operational guidelines for a new 3D dynamic datum released

R1.1.17 Software to generate Regional orbit and clock models for two GNSS

constellations (eg Beidou, QZSS satellites) completed

R1.1.18 Final version of ACS released for operational use to partners

R1.1.19 ACS software training workshops held to train users (at least 4 sessions in capital

cities)

R1.1.20 Final version of network design tool released for partner use

2017-18


Demonstration of Output 1.1 in targeted application areas such as precision agriculture.

Output 1.2 will focus on the prototype demonstration and evaluation of research outputs in end-user

driven application areas. This work will provide an important feedback mechanism from industry for the

development team as well as cross-linkages to Program 4. It will deploy research outputs in areas where

strong user demand exists and where early benefits can be demonstrated. Particular emphasis will be

given to equipping target industries with early access to the enhanced national positioning infrastructure.

At least one non-positioning application will also be undertaken as a means of broadening the scope of

benefits to be realised.


R1.2.1 Application project #1 (GNSS test track) scoped

R1.2.2 Application project #1 commenced 2011-12

R1.2.3 Application project #2 (e.g. automated machine guidance) scoped 2013-14

R1.2.4 Application project #2 commenced

R1.2.5 Application project #1 completed 2014-15

R1.2.6 Application project #3 (e.g. non-positioning application such as advanced

atmospheric modelling) scoped 2015-16

R1.2.7 Application project #2 completed

R1.2.8 Application project #3 commenced 2016-17

R1.2.9 Application project #3 completed 2017-18



11 PhD completions and at least 55 journal and conference publications.


R1.3.1 2 PhD candidates commence research

R1.3.2 4 refereed papers submitted for publication 2010-11




R1.3.6 2 PhD candidates submit theses for examination




R1.3.10 7 refereed papers submitted for publication

2014-15








Project 1.4: Integrating electricity, telecommunications and government infrastructure to deliver

precise positioning services in regional areas.

1.4.1 - commercial, operational and institutional enablers to expand precise positioning services in

regional areas.

This demonstrator will undertake applied research to develop an extension of the Queensland precise

positioning service (SunPOZ) into a regional area to facilitate the adoption of precise positioning services

in agriculture, mining, utilities, tourism and construction.

1.4.2 - the impact of future GNSS (Global Navigation Satellite Systems) on precise positioning networks

in regional areas.

This research will examine precise positioning network and communications architecture for regional

areas using existing and future GNSS.


R1.4.1 Market testing of precise positioning services completed by Jan 2010

R1.4.2 Field testing of research output completed by Jun 2010

R1.4.3 Feasibility Plan completed for a national research capability that can deliver

real-time analysis products to regional CORS networks

2009-10


Utilisation No. 1.1 Description

Output 1.1 will be used internally by CRCSI-2 researchers, network designers, manufacturers, and large

scale end users to design, build, operate, analyse and benchmark the performance of the new national

positioning infrastructure (NPI). Outputs 1.1- 1.4 will improve NPI performance, enhance application

functionality and enable forward compatibility of ground infrastructure. This will result in a common

operational framework and flexible architecture for current and planned Global Navigation Satellite

Systems (GNSS) constellations and optimised, robust positioning signals. Together, these outputs will

accelerate the adoption rate and fully realise the economic benefits of a NPI (Allen Consulting Report:

Benefits of Precision GNSS, 2008) beyond the limitations of a single GPS or dual GPS/Glonass service.

Utilisation Milestones Due date

U1.1.1 Test and commence precise positioning service in selected regional test area and

Test and implement a mix of CORS equipment types and equipment generations 2009-10

U1.1.2 1st year GPS/Glonass NPI rolled out 2010-11

U1.1.3 National plan for a multi-GNSS NPI prepared and adopted by government 2012-13

U1.1.4 Version 1.0 of ACS released beta tested by 2 government agencies 2015-16

U1.1.5 Version 2.0 of ACS beta tested by at least 2 government partners

U1.1.6 GNSS network planning tool beta tested by 2 government agencies 2016-17

U1.1.7 Operational version of ACS released

U1.1.8 New 3D dynamic datum guidelines adopted

U1.1.9 Roll-out of new multi-GNSS NPI commenced in Australia and New Zealand

U1.1.10 Integration of new 3D ionospheric model into ACS

2017-18


Of the 11 PhD students that complete during this research program, 7-8 graduates are expected to find

employment within Australian industry or government. The 3-4 remaining will go on to post-doctoral

research positions with Australian-based or overseas research organisations.


U1.2.1 First 2 PhD graduates in full time employment 2013-14

U1.2.2 Further 4 PhD graduates in full time employment 2014-15



3.2 Research Program No. 2 - Automated Spatial Information Generation

One program comprising two projects:

- One project with three interrelated sub-projects to develop automated information extraction algorithms,

computational processes and software tools from integrated imagery, laser scanning and sensor network

technologies for use by State land agencies, Utilities, Department of Defence, and Australian mapping

companies, as well as the agriculture, natural resources and environment sectors.


- One project with two interrelated sub-projects to develop automated feature extraction methodologies,

tools and software for imagery and ranging data obtained from radar and high-resolution satellites for

landform monitoring, landscape modelling, topographic mapping and defence and security applications.

Key educational activities include the training of 11 PhD students (in the IT and environmental sciences

fields) in research activities and the provision of training, information sessions and technology transfer to

program participants and users.


Development of software tools for automated feature extraction, change detection and database

updating

Output 2.1 will focus on the development of algorithms, methodologies and software tools from

integrated aerial and space-borne imagery and laser scanning systems. This will support topographic

mapping, 3D city modelling and urban planning for use by state and federal land and planning agencies,

and mapping companies in the spatial information industry. Research and development includes metric

sensor modelling, calibration, sensor orientation and geopositioning and development of the necessary

mathematical models and computational processes needed to generate the data products from which

cartographic features are subsequently extracted. Projects will be based on work completed under

CRCSI-1.


R2.1.1 Software and procedures developed during CRCSI-1 for automated feature

detection, extraction and reconstruction for the updating of geospatial databases

completed.

R2.1.2 New calibration procedures, software, validation and assessment techniques

developed during CRCSI-1 for assessment of calibration and application-specific

multi-source data processing models for integrated sensor systems, with

emphasis upon imaging systems linked with laser-ranging and GPS positioning,

completed.

2009-10

R2.1.3 Literature review on feature extraction completed 2010-11

R2.1.4 Characterisation of integrated imaging & laser scanning finalised 2011-12

R2.1.5 Formulation of feature extraction models & algorithms for linear features

completed 2012-13

R2.1.6 Software tools for automated road mapping developed 2013-14

R2.1.7 Experimental validation of cartographic feature extraction software finalised 2014-15

R2.1.8 Software tools for automated building extraction & modelling developed 2015-16

R2.1.9 Testing & validation of automatic building extraction software completed 2016-17

R2.1.10 Industry-based evaluation of project outputs completed 2017-18



Development of hardware and software suite and processing methodologies for autonomous data

capture & feature extraction for asset management of powerline infrastructure.

The multi-sensor feature extraction software suite for vegetation mapping, clearance determination and

asset recording along powerline corridors will be used by the Australian energy utilities sector. Essential

participant Ergon Energy will act as a beach head to other chosen Australian electricity distributors such

as Energex. The project activity will draw on outcomes from Program 3 in relation to quality and access

issues for cadastral data within Spatial data infrastructures.


R2.2.1 Technical options and research literature (especially powerline inspection based on

computer vision) reviewed 2010-11

R2.2.2 Design specification for laser scanning & imagery configuration finalised

R2.2.3 Hybrid sensor system verified 2011-12

R2.2.4 Improved 3D aircraft guidance software developed

R2.2.5 Algorithms/ tools for sensor calibration & georeferencing completed 2012-13

R2.2.6 Tests for detection of high priority faults completed

R2.2.7 Tools for automated vegetation profiling and classification completed

R2.2.8 Initial flight trial of payload inspection system completed

2013-14

R2.2.9 Fault detection/ line inspection demonstrated 2014-15

R2.2.10 Precise guidance of very-low-level aircraft for linear inspection demonstrated

R2.2.11 Processing hardware for new platform finalised 2015-16

R2.2.12 Experimental validation concluded 2016-17

R2.2.13 User and operations manuals completed

R2.2.14 Training requirements defined

R2.2.15 Transition to broad service adoption initiated

2017-18


Development of asset recording feature extraction software for use in mobile mapping systems

Output 2.3 will develop algorithms, methodologies and software tools for use by State road and land

agencies and commercial mapping companies supplying Terrestrial Laser scanning services. Outputs will

be applied to road network extraction from aerial imagery and building extraction from Lidar. Greater

levels of automation need to be accomplished if spatial information product generation is to keep pace

with both user needs and the volume of imagery and lidar data being acquired. Outputs are planned to be

algorithms, computational systems and processes that incorporate self-evaluation and self-diagnosis,

which are suited to adoption and commercialisation by industry. This project will commence in 2010-11.


R2.3.1 Review of state of the art & problem scoping completed 2012-13


R2.3.2 Models for feature extraction for road-based asset recording developed 2013-14

R2.3.3 Software toolkit for integrated laser & imagery sensor calibration & orientation

completed 2014-15

R2.3.4 Software tools for automatic asset feature extraction and mapping developed 2015-16


Development of software for automated vegetation mapping and for biomass estimation

Output 2.4 will be applied by commercial agencies and natural resource and water management agencies.


R2.4.1 Literature review for determining optimal data primitives, for characterising

Australian woody vegetation and scalable for landscape level woody vegetation

feature generation completed

R2.4.2 Test sites established and field procedures designed and tested

2011-12

R2.4.3 Algorithms to metrically process hybrid sensor data developed 2012-13

R2.4.4 Data processing tools (with Program 4) for vegetation profiling completed

R2.4.5 Operating procedures developed for woody vegetation field data collection

R2.4.6 Procedures to scale up field-to-sensor fused data for woody vegetation

landscapes validated

2013-14

R2.4.7 Integration of radiometric feature extraction tools with metric processing

completed 2014-15

R2.4.8 Verification of multi-sensor data fusion and processing for automated multi-

scale landscape feature generation, mapping and change detection completed 2015-16

R2.4.9 Trialling of outputs by industry, state and federal government participants

completed 2016-17

R2.4.10 Technology transferred to end users via prototype systems and verified data

processing 2017-18


Review of software for metric processing and feature extraction for full motion video from

Unmanned Aerial Vehicle (UAV) platforms.

The review will benefit the Department of Defence and is expected to flow on to utilities which require

asset monitoring in remote areas.


R2.5.1 Technology review for UAVs & applicable integrated sensor undertaken 2010-11



11 PhD student completions (in the IT and environmental sciences fields) and at least 60

publications


R2.6.1 4 Refereed Conference papers submitted

R2.6.2 4 PhD candidates commence 2010-11

R2.6.3 4 Refereed Journal Articles and Conference publications submitted 2011-12

R2.6.4 6 Refereed Journal Articles and Conference publications submitted









R2.6.13 2 PhD candidates submit theses for examination 2016-17




Program Output 2.4 will be used by State Departments of Land, Environment and Primary Industries.

Program Output 2.1 will be evaluated and implemented in topographic mapping applications.


U2.1.1 Initial processing tools for vegetation mapping and profiling implemented with

user training 2013-14

U2.1.2 First-generation automatic change detection software used by two government

agencies

U2.1.3 User training sessions held at two government agencies

2015-16

U2.1.4 Prototype systems for automated processing accepted by two government

agencies

U2.1.5 Operational system implemented by at least two government agencies

2017-18



The Utilities industry will be a major user. Ergon Energy and Energex, two large electricity distribution

providers, are CRCSI-2 partners and program participants. Ergon will directly implement Output 2.2.

Energex and Ergon will also evaluate the Output 2.5 for use.

The outputs will be used to enhance operational efficiencies, reliability and quality of service through

improved strategic asset management and planning practices including:

Improved data capture - through semi automated and automated airborne image collection of data.

Improved data analysis - through automated data processing and classification of vegetation data and

manmade powerline assets.

Improved data management, coordination and integration – through customised ‘on-demand’ spatial data

sets combining land titles, environment and cultural heritage with other network and topographic data.

Key usage assumes a gradual ramp up of low-level aerial inspection within Ergon (QLD) with transition

to commercial service operations in later years.


U2.2.1 Platform specifications for laser scanning & imaging system adopted

U2.2.2 Initial uptake by Ergon of limited foundation data to explore new business

processes

2011-12

U2.2.3 Entire network dataset captured by conventional technologies

U2.2.4 1000 km proof of concept payload demonstrator rolled out 2012-13

U2.2.5 Semi-automated vegetation classification and line clearance mapping tools

adopted

U2.2.6 User training session held at Ergon Energy

U2.2.7 15,000 km of Ergon network captured by UAV and manned aircraft

2013-14

U2.2.8 30,000 km of Ergon network captured by UAV and manned aircraft 2014-15

U2.2.9 Ergon deploys commercial low-level aircraft for routine operations

U2.2.10 Autonomous flight control system approved for use in different aircraft type

(Cessna or other)

U2.2.11 Data capture and processing of 180,000 km of Ergon line using developed

technology

U2.2.12 Prototype system completed

2015-16

U2.2.13 Routine Ergon annual data capture and processing of 230,000 km line using

developed technology.

U2.2.14 At least one other utility use the inspection service

2016-17

U2.2.15 Routine Ergon annual data capture and processing of 280,000 km line using

developed technology.

U2.2.16 At least two other utilities use the inspection service

2017-18



Natural Environment management agencies and State Lands departments will be distinct users of

software that arises from Outputs 2.1, 2.3, 2.4 and 2.5.

These software solutions will be applied in production to operate on various types of data sources

(imagery/ LIDAR /radar) alongside existing software. Research will develop software to stand-alone

with existing commercial software, e.g. efficiency improvements in converting data for 1) topographic

mapping, 2) GIS, 3) 3D city modelling, 4) dimensional audit of as-built road infrastructure and 5) the

automatic logging and feature extraction of road centrelines for in-car navigation.


U2.3.1 After initial testing, new data processing algorithms for metrically enhancing

spatial information generated from imagery and LIDAR are implemented and

used by 2 partners

2011-12

U2.3.2 Project activity outputs adopted to improve feature extraction via semi-

automated processes by 2 further partners 2012-13

U2.3.3 Automated computational system for linear feature extraction and vegetation

profiling implemented (in conjunction with Program 4)

U2.3.4 62 individual government and private company users of developed software

U2.3.5 3 initial user training sessions held for users of developed software

2013-14

U2.3.6 New feature extraction processes for integrated laser scanning and imagery data

implemented

U2.3.7 Total of 74 individual government and private company users of developed

software

2014-15

U2.3.8 Software tools for automated building extraction from hybrid imaging/laser

sensors adopted


software

U2.3.10 Training session held for users of developed software

2015-16

U2.3.11 Adoption & continued trialling of automated feature extraction and mapping

tools


software

2016-17

U2.3.13 Automated information generation via feature extraction for the different

cartographic feature classes and application domains implemented


software

2017-18



Outputs 2.1, 2.2 and 2.4 will be used by private companies with laser scanning, mapping, satellite and

aerial imagery, and survey capability. These companies service the mapping, mining, natural resource,

agriculture and IT sectors. In the first instance these companies are participants in the CRC and these

software solutions will be applied in production to service the above industries.

The implementation of software amongst these companies within these partner groups is expected to be

high. The aim is to have 20 company partners using the new computational processes and software by the

completion of the project outputs. There is an anticipated 20% yearly increase in the initial software user

base.


U2.4.1 New data processing algorithms for metrically enhancing spatial information

generated from imagery and LIDAR implemented 2011-12

U2.4.2 Project activity outputs to improve feature extraction via semi-automated

processes adopted 2012-13

U2.4.3 Automated computational system (ACS) for specific feature types in

topographic mapping and asset recording implemented

U2.4.4 Total of 24 individual private company and government users of ACS

2013-14

U2.4.5 New feature extraction processes for integrated laser scanning and imagery data

implemented


2014-15

U2.4.7 Software tools for automated building extraction from hybrid imaging/laser

sensors adopted


2015-16

U2.4.9 Adoption & continued trialling of automated feature extraction and mapping

tools completed


2016-17

U2.4.11 Automated spatial information generation via feature extraction for the different

cartographic feature classes and application domains adopted.


2017-18


Of the 11 PhD students that complete during this research program, 5-6 are expected to be employed

directly in Australian industry. A further 1-2 will be employed in Australian Government organisations.

The 3-5 remaining graduates are expected to find employment in within Australian or overseas

universities and research centres.


U2.5.1 4 graduates in full employment 2013-14

U2.5.2 2 further PhD graduates in full employment 2015-16



U2.5.3 2 further PhD graduates in full employment 2016-17

U2.5.4 Final 3 PhD graduates in full employment 2017-18


3.3 Research Program No. 3 - Spatial Infrastructure

Three related research projects that deliver fundamental building blocks and expanded capability and

relevance to existing and emerging spatial information infrastructure environments through the

development of standards and software tools that manage digital rights, governance, federated data

integration and distributed processing capabilities. The infrastructure environments enable online spatial

resource trading and spatial information delivery to all levels of government and to traditional and non

traditional spatial industry participants.

Key research activities include: the development of national standards for online digital rights, privacy

and governance; the development and implementation of a federated data model that spatially enables

data associated with national wellbeing and whole-of-landscape; and an investigation and application of

online processing of distributed spatial information sources and services.

Key educational activities include the training of 6 PhD students and 4 Masters students (in the IT field)

in research activities and the provision of training and technology transfer to program participants and

users.


Development of national/international standards framework and software tools to enable effective

governance and management of online digital rights, privacy and security

Output 3.1 will be used for existing and emerging spatial infrastructure environments delivering online

ready resource trading and business critical information delivery to government and industry.


R3.1.1 Standards for digital rights developed

R3.1.2 Consumer experience model completed for testing in resource marketplace 2010-11

R3.1.3 Regional (ANZ) Governance / Business Model for implementation within the

ANZ Spatial Marketplace completed

R3.1.4 Framework developed to allow specific security and privacy policies to be

applied to specific individuals, organisations and applications in a health context

2012-13

R3.1.5 Software tools for implementation of digital rights, privacy and governance in

spatial information infrastructure tested 2013-14

R3.1.6 Deliver tools and methodologies to enable end users to measure fitness for purpose

of data by tracking Trust, Quality, Auditing, and Licensing 2015-16



The development and implementation of automated machine readable tools to improve spatial data

supply chains

Output 3.2 will develop tools that will significantly reduce manual processes along supply chains.. It will

allow government agencies to move to a self service model for delivery of information by speeding up

processes; providing consistency of information to end users; enabling automatic federation across

agencies and integration of crowd sourced information


R3.2.1 Recommendations report for steps to spatially enable health sector released

R3.2.2 High quality spatially enabled health and agriculture data released 2010-11

R3.2.3 Study reviewing Supply Chain and e-research initiatives in Australia and New

Zealand to identify opportunities and gaps completed 2011-12

R3.2.4 Integration tools developed for the delivery of automated federated data models

R3.2.5 Tools to identify and manage inconsistencies within federated data developed

R3.2.6 Tools and methodologies to allow for self service of government information

2015-16

R3.2.7 Recommendations for Implementation framework for spatial enablement of

whole-of-landscape data completed

R3.2.8 Trust models and tools developed to automatically integrate crowdsourced data

into authoritative sources

R3.2.9 Search and delivery tools using semantic web technologies developed

2017-18


Investigation of online processing of distributed spatial information sources and services

Output 3.3 will enable highly interoperable, large scale and high data volume processing of online

distributed spatial information sources such as those emerging from advanced positioning technologies,

and distributed sensor networks from public and private services. This project will commence in 2012-13.


R3.3.1 Project scope agreed by partners and research team recruited 2012-13

R3.3.2 Prototype online processing software business requirements developed 2015-16

R3.3.3 Prototype online processing software completed and trialled 2016-17

R3.3.4 Standards extension of advanced online processing and services of distributed

spatial information finalised

R3.3.5 Online processing software implemented to offer distributed spatial data and

services

2017-18



6 PhD and 4 Masters student completions (in the IT field), and at least 20 publications.


R3.4.1 1 Masters and 3 PhD candidates commence 2010-11

R3.4.2 1 PhD candidate commences 2011-12

R3.4.3 1 Master candidate submits thesis for examination

R3.4.4 1 Masters and 2 PhDs candidates commence 2012-13

R3.4.5 Publication of 4 refereed papers 2013-14

R3.4.6 4 PhD and 1 Masters candidates submit theses for examination

R3.4.7 2 Masters candidates commence

R3.4.8 Publication of 8 refereed papers

2015-16



R3.4.11 2 Masters candidates submit theses for examination



Enabling real-time information access in both urban and regional areas.

This project focuses upon developing and implementing an open content licensing model for access to

and re-use of government information. The underlying purpose is to realise the full potential of under-

utilised government information, with special reference to its social, economic cultural and environmental

value.


R3.5.1 A model licensing framework for whole of government developed and drafted

R3.5.2 Review benefit/cost methodology to evaluate policy on dissemination of

government information by Jun 2010

R3.5.3 Recommendations for systematising information management regulations to

improve efficiency and reduce unnecessary complexity released by Jun 2010

R3.5.4 Licensing module integrated into the Information Queensland portal and the WA

SLIP portal

2009-10


National Data Grid.

This project focuses upon providing a data infrastructure through a national nested grid, for publishing

national and jurisdictional grid cell-based information, which is more amenable to statistical and



mathematical analyses, typically in models. Examples include the national assessments of land-cover and

national elevation model


R3.6.1 System and user acceptance testing completed.

R3.6.2 Deployment of a minimum of five use case scenarios – 1. Data support for

ENSYM at DSE Victoria, 2. Integrated Fire Planning support at OESC

Victoria, , 3. Climate Change Adaptive Capacity Index at DPI Victoria, 4. Reef

Rescue at Geoscience Australia and Bureau of Rural Sciences, 5. Rapid Site

Selection at Victoria DSE, Integration with Spatial Data Mart at Victoria DSE,

6. Hosting of National dataset at Geoscience Australia.

2009-10


Output 3.2 will have both immediate government users and in the longer term more users from industry

and research agencies. Users include governmental agencies with a mandate for participating in national

human health improvement and those involved in the monitoring and reporting of sustainable land

management activities (CRCSI-2 partners: WA Depts of Health and Agriculture & Food; Victorian

Departments of Primary Industries and Sustainability & Environment, Geoscience Australia, and

Department of Climate Change, and partners involved in State of Environment reporting). Other users

include researchers requiring national data cohesion and industry partners seeking benefit from a cohesive

national data approach for strategic/ technology development opportunities.


U3.1.1 High quality spatially enabled data for research use delivered to Program 4

Health and Agricultural based government users 2010-11

U3.1.2 National guidelines used by at least 1 health agency to support data collaboration

U3.1.3 Geocoding tools (from PSMA and WA infrastructure) adopted by 1 health

agency and 1 agriculture application

2013-14

U3.1.4 National implementation plan for federated model for whole-of-landscape

related datasets used by at least two government agencies. 2015-16

U3.1.5 Online tools delivering federated data product/services from 1 existing online

infrastructure 2016-17

U3.1.6 Federated data maintenance tools used by 1 existing infrastructure ( 2017-18



Usage of Output 3.1 (standards and Web 2.0 enabled online tools for national framework for spatial

infrastructure access rights and governance) will have three users – (1) spatial infrastructure owners and

operators, (2) government and industry resource suppliers and (3) users of spatial data and online service

resources. The full software toolset accompanying the framework will be implemented by existing

government spatial infrastructure operators. The beneficiaries of the implementation will then be resource

suppliers and users in government, industry and academia. Government, as data creators and suppliers of

spatial resources will adopt simplified rights and privacy assurance models through online infrastructure

to reduce costs associated with current manual and inconsistent contractual approaches.


U3.2.1 CRC Program 1 Positioning, Program 4 Health and Agriculture users along with

initiatives external to CRC such as Australian Spatial Marketplace, provided

with access to national data for research use

2010-11

U3.2.2 CRC Program 4 Defence and WA SLIP and PSMA LYNX implement

infrastructure governance guidelines developed under Output 3.1 2012-13

U3.2.3 2 infrastructures (Australian Spatial Marketplace and WA SLIP) implement

software for access rights application

U3.2.4 1 infrastructure (WA SLIP) implements online governance tools

2013-14

U3.2.5 1 infrastructure (FSDF) implements software tools for access rights application

U3.2.6 Integrated tools developed for the delivery of automated federated data models

used by one partner

2015-16

U3.2.7 Two agencies utilise tools to identify and manage inconsistencies and duplication

within federated data 2015-16

U3.2.8 Two agencies implement trust models to automatically integrate crowdsourced

data into authoritative sources 2016-17

U3.2.9 Two pilot trials of search and delivery tools using semantic web technologies 2017-18


Of the 6 PhD and 4 Masters students that complete during this research program, 6-8 graduates are

expected to find employment within Australian industry or government. The 2-4 remaining are likely to

take post-doctoral research positions with Australian based or overseas research organisations.

The final two Masters students will finish in the final year of the CRC and may not be in full employment

by the end of the Funding Period. There is therefore no milestone listed for these students, however, they

would be expected to be in full employment in 2018-19.


U3.3.1 1 graduate in full employment 2013-14

U3.3.2 Further 4 graduates in full employment 2016-17



3.4 Research Program No. 4 - Spatial Information Applications

Program activities relate to the application of spatial sciences into thematic areas including:

1) Agriculture, Natural Resources and Climate Change - development of process and web-based systems

and enhanced spatial data techniques to assist in decision-making in the agriculture, natural resources and

environment sectors, specifically farmers and resource management agencies through four projects.

2) Health - development and demonstration of spatial techniques and frameworks for spatially enabling

health information, modelling health risk and uncertainty and visualisation and dissemination of health

information in a spatial context through three inter-related projects.

3) Urban Development - a single project to pilot development of a decision support system to optimise

local, state and national user decisions for economic, social and environmental sustainability. This will

reduce carbon impact and increase urban viability/community well being.

Key educational activities include the training of 19 PhD students in agriculture (5), IT (7), and

environmental sciences (5), humanities (2) and the training, information sessions and technology transfer

to program participants, service providers, and practitioners.


Development of a web-based software system to support the use of natural resource management

information across farms, landscapes and catchments.

Output 4.1 will comprise a Whole of Landscape Accounting Infrastructure that will provide an analytical,

monitoring and reporting capability for environmental land management. The key outputs are tools

which include the latest satellite images of paddocks, tools for geospatial asset monitoring, and tools for

(historic) record management and information exchange.


R4.1.1 Develop System Plan to support farm management program (FMP) and

environmental monitoring program (EMP) 2010-11

R4.1.2 System Plan developed for delivering existing and value-added spatial

information and system enhancement (“programming”) capability for individual

farm and whole-of-landscape environmental management (farm management

program -FMP and environmental monitoring program-EMP)

2012-13

R4.1.3 Joint project with Program 3 (SDI) for the creation of the system initiated.

Building of high resolution data retrieval gateway initiated

R4.1.4 Review of needs, information usage, and knowledge availability for spatialised

individual farm and whole-of-landscape environment management completed

R4.1.5 EMP designed for data retrieval gateway

2013-14

R4.1.6 Prototype FMP Toolkit developed

R4.1.7 Reporting methodology for EMP determined

R4.1.8 Base information delivery and system enhancement capability established.

2014-15

R4.1.9 Reporting for EMP finalised and implemented

R4.1.10 Beta testing of FMP Toolkit and EMP completed 2015-16


R4.1.11 FMP Toolkit and EMP finalised, sustaining business model developed, user

education begun

R4.1.12 Added FMP Toolkit and EMP functionality finalised

2016-17

R4.1.13 Training materials made available for FMP Toolkit and EMP and documentation

completed

R4.1.14 Publicity and adoption workshops hosted for FMP Toolkit and EMP

R4.1.15 Fully functional FMP Toolkit and EMP released

2017-18


Development of a process model for image and data fusion for agriculture and forest management

users.

Output 4.2 will develop process models that will use various types of digital imagery and associated

processing techniques to obtain precise maps of the amount, 3-D structure, and species composition of

woody vegetation carbon biomass in the landscape.


R4.2.1 Current data sources and approaches to high resolution carbon estimation

assessed 2010-11

R4.2.2 Radar, LiDAR, hyperspectral imagery used as inputs to biophysical model 2011-12

R4.2.3 Initial data acquisition and analysis completed 2012-13

R4.2.4 Most promising approaches identified and potential of emerging sensors and

technologies assessed 2013-14

R4.2.5 Analysis and final recommendation on biophysical models and image sources

finalised

R4.2.6 Protocols for un-trialled regions and landscapes produced

2014-15


Protocols for merging geospatial data sets to assess key vegetative development characteristics for

crops and pastures at a high spatial resolution

Output 4.3 will comprise protocols for merging geospatial data and imagery with economically collected

ground-based data to assess key vegetative development characteristics for crops and pastures at a high

spatial resolution. Output will include descriptions of analytical techniques for using the information

produced to improve water-use and pasture-use efficiencies. It will build upon work carried out under

CRCSI-1 which developed a pre-cursor tool to improve system productivity, resource utilisation and

management efficiency on farms.



R4.3.1 Operational implementation of CRCSI-1 farm based decision making tool

(integrates historical, real-time or predictive crop/pasture-related productivity

data)

2009-10

R4.3.2 Experimental design including imagery, sensors and field trials begun 2010-11

R4.3.3 Demonstrator sites established

R4.3.4 Imagery acquisition begun 2011-12

R4.3.5 Data collection completed 2012-13

R4.3.6 Localised soil map protocols established 2013-14

R4.3.7 Localised crop and pasture protocols established

R4.3.8 Experimental design for protocol enhancement based on emerging sensor

technology finalised

2014-15


Process for geocoding of health information and creation of an enabling framework for health

agencies to access health-related spatial information.

Output 4.4 will develop a process for geocoding of health information and creation of an enabling

framework for health agencies to access health-related spatial information from new sources, while

considering the sensitivities of health data and uncertainty measurements. Outputs from Program 3 will

form inputs to Output 4.4 & Output 4.5.


R4.4.1 Data sources reviewed, audit spatial referencing audited and barriers to access

addressed 2010-11

R4.4.2 Data sources and linkage engines for geocoding health information reviewed and

protocol for spatial referencing across various health jurisdictions in Australia

and New Zealand audited

R4.4.3 Robust guidelines and protocol for the integration of spatial data into health

models developed

R4.4.4 Methods and tools for health researchers and policy makers to assess sensitivity

of geocoding positional error in health analysis developed and trialled in

partnering academic and government institutions

2012-13

R4.4.5 Spatial and temporal population exposure models assessed for application in

health research and decision-making 2013-14

R4.4.6 Innovative capture of spatial references at the point of collection for health data

sources enabled in multiple private and public health agencies 2016-17

R4.4.7 Analytic Methods developed for Real Time Chronic Disease modelling 2016-17



Development of tools for spatial modelling and visualisation of health risk and uncertainty.

Output 4.5 will deliver tested spatial statistical models and a novel geovisualisation system – both tools to

analyse diseases, visualise and disseminate information to health professionals. An initial focus will be

small area risk factors and identifying spatial disparities in cancer incidence and services delivery.


R4.5.1 Spatial health reporting systems and user requirements reviewed

R4.5.2 Case study: Spatial disparities in cancer incidence completed 2010-11

R4.5.3 Spatial and temporal models of disparities in cancer incidence at the area and

point level commenced

R4.5.4 Geovisualisation system prototype with visualisation/ privacy functions to

present government health and environmental datasets developed and tested by

stakeholders and partners

R4.5.5 Spatial and temporal analysis of screening services and risk factors associated

with cancer incidence and survival commenced

2011-12

R4.5.6 Geovisualisation system deployed to a wider group of stakeholders in secure

environment and inclusion of non-government datasets included

R4.5.7 Spatial and temporal models for cancer incidence, survival, services and risk

factors finalised and validated

R4.5.8 Spatial models and algorithms completed for use with other chronic health issues

(eg diabetes and related conditions)

2012-13

R4.5.9 Geovisualisation system expanded to include environmental health issues and

models for post-disaster scenarios

R4.5.10 Spatial modelling output and algorithms integrated into the geovisualisation

system

2013-14

R4.5.11 Application of spatial models and algorithms to a range of health outcomes and

public health priorities completed 2015-16


Development of decision support software for improved Urban Planning decisions

A software based decision support system that will rank and deploy measures of economic, social and

environmental sustainability for the purposes of optimised urban planning, decision support and policy

guidance.


R4.6.1 Australian urban development economics defined

R4.6.2 Key social, environment, & economic measures identified 2010-11


R4.6.3 Report linking extant socio/ environmental and economic data to spatial /

temporal and decision framework completed 2012-13

R4.6.4 Graphics/ visualisations integration and beta (Stage 1) decision support tool

developed

R4.6.5 Community consultation and policy/ project scenario capabilities developed.

Stage 1 beta tool refined

2013-14

R4.6.6 Testing of policy scenarios through public and private sector partners developed 2014-15

R4.6.7 Access to software tools via web enabled planning capability made available to

National, state, local decision-makers 2015-16

R4.6.8 New sector demonstrator studies commenced, affording iterative upgrading of

models and algorithms 2016-17

R4.6.9 Iterative refinement of models, algorithms, visualisations and scenario

projections completed 2017-18


19 PhD student completions ( in the agricultural science, natural resources, and environmental

sciences fields), publish 50 refereed papers





R4.7.4 10 refereed papers published

R4.7.5 2 PhD candidates commence

2013-14



R4.7.8 5 PhD candidates commence

2014-15


R4.7.10 4 PhD candidates submit theses for examination 2015-16


R4.7.12 2 PhD student candidates submit theses for examinations 2016-17


R4.7.14 10 refereed papers published 2017-18



Outputs of 4.1, 4.2, and 4.3 will have two types of user – application users and researchers/ software

developers. Application users are individuals within state and regional governmental agencies. The

researchers/software developer users will be within the CRC who are addressing specific needs of non-

CRCSI-2 end-users. These groups include CRC industry participants and also include government

organisations whose focus is spatial data.


U4.1.1 Consultations with 25 potential end-users completed

U4.1.2 Independent review of design completed 2013-14

U4.1.3 Formal trialling of outputs with 25 application end-users completed.

U4.1.4 Informal trialling with 5 developers completed

U4.1.5 Independent review of design completed.

2015-16

U4.1.6 Business case for implementation of system developed

U4.1.7 Three focus workshops on embedding outputs into organisational business

processes hosted

2016-17

U4.1.8 Application documentation (tutorials, user manuals) finalised with end-users.

System design documentation finalised with developers.

U4.1.9 Informational training courses hosted for end-users at three locations across

Australia.

U4.1.10 60 government users of applications

2017-18


Usage of outputs of 4.2, and 4.3 will also be by technology-literate farm managers from small, medium

and large farms, and agricultural service providers such as consultants and agronomists. New spatially-

enabled tools for quantifying water demand and differentially managing fertilizer applications will be

used by crop growers to improve irrigated water use efficiency (mass of produce per megalitre of water)

and reduce fertilizer inputs. Grazing managers will benefit from spatially-enabled tools to improve

pasture utilization, stabilise grazing systems, reduce land degradation, and improve nutrient management.


U4.2.1 Participation of 10 end-user service providers to incorporate improved data and

analysis in everyday farm management activities. 2013-14

U4.2.2 Training and information sessions for 100 farmers and 10 providers hosted at

three locations around the country. 2015-16

U4.2.3 Training and information sessions for additional 500 farmers and 20 providers

hosted at five locations around the country (600 farmers and 30 providers in

total).

2016-17

U4.2.4 1050 end-users and service providers (50 agriculture providers and 1000

farmers) incorporate improved data and analysis in farm management

U4.2.5 System documentation, tutorials, and user manuals reviewed independently; 50

service providers contacted and trained

2017-18



Usage for Outputs 4.4 and 4.5 are expected to build over the 8.5-year timeframe starting with the

Department of Health, WA, Telethon Institute for Child Health Research and Queensland Cancer

Council. A gradual build up to Commonwealth Health Agencies and other Cancer Councils and Research

Institutes will follow. After the establishment of spatial health privacy protocols (Year 3) the front-line of

health care - Primary Care clinics, Community Health Providers and Local Government Areas will

benefit.

Government Health Professionals- Initial WA Department of Health branches engaged include the

Public Health Intelligence, Child & Adolescent Health, Environmental Heath.

Industry End-users -Health Researchers, NGO Health Agencies (Cancer Councils/ Diabetes

Australia/Asthma Foundation), Primary Care Clincs, Local Government Authorities (LGA).


U4.3.1 Department of Health, WA use Visualisation Tool for trial/testing.

U4.3.2 Privacy modules delivered (1 major agency). 2011-12

U4.3.3 Geocoding evaluation results used by WA Department of Health

U4.3.4 Roll-out to two further Health agencies.

U4.3.5 Health researchers and GP Divisions trial involving above three major agencies

completed

U4.3.6 Health researchers from 3 Universities use results of geocoding positional error

sensitivity research

2012-13

U4.3.7 Roll-out to four further Health agencies

U4.3.8 Further release to three GP Divisions, and three LGA partners for trial (6 major

agencies in total)

U4.3.9 Results of population exposure modelling assessment used by health researchers

at three Universities

2013-14

U4.3.10 Temporal spatial models of risk factors used in health research fields such as

cancer, injury, diabetes and asthma.

U4.3.11 Spatial referencing at point of capture process adopted by at least three health

agencies

2015-16

U4.3.12 Roll-out to other government agencies to assist with communication of complex

multi-dimensional data (eg transport, natural resources) (20 end users in total ) 2016-17

U4.3.13 Use of Chronic Disease prediction algorithms by at least 1 Hospital.

U4.3.14 Continued roll-out to local end users (8 agencies + 35 end users in total) 2017-18



Output 4.6 (Data, metrics, visualisations, scenario projections and communication tools) will be used by

policy makers, planners and regulators across the three tiers of government and key user communities

(developers, professional advisers, financiers, business, industry and community). The take-up pathway

will commence with trial and demonstration initiatives conducted with large project partners (User Group

B consists of large organisations eg, Infrastructure Australia, WA Department of Planning and

Infrastructure, Victorian Department of Planning and Community Development interfacing with

national/international professional advisers such as Hassell). Large users are characterised by annual

throughput of 25 or more projects and the size and diversity spread of such projects.

User Group A consists of SME scale planning groups, developers and Local Governments. Group A users

have a lower annual project volume (typically 10 - 20 per year) and their projects are of a smaller average

size than Group B organisations.


U4.4.1 Status implementation trial report completed covering evaluation of manually

delivered data and related metrics

U4.4.2 1 User Group B deployment (eg Dept of Planning & Infrastructure WA)

2011-12

U4.4.3 2 further Group B deployments

U4.4.4 Status Implementation Report completed on initial trial projects covering first

three end user Group B deployments

2012-13

U4.4.5 First small user deployment: 1 Group A deployment; 1 further Group B

deployment 2013-14

U4.4.6 2 further Group B deployments 2014-15

U4.4.7 2 further Group A deployments 2015-16

U4.4.8 Full web functionality, enabling e-planning between remote partners

participating in national, state, local decision-making

U4.4.9 1 further Group A deployment

U4.4.10 2 further Group B deployments

2016-17

U4.4.11 7 further Group A deployments (11 in total)

U4.4.12 1 further Group B deployment (9 in total) 2017-18


Of the 19 PhD students that commence during this research program, 10-12 of these are expected to be

employed directly in Australian industry. A further 5-6 will be employed in Australian Government

organisations. The 1-4 remaining graduates are expected to go on to post-doctoral research positions with

Australian-based research organisations.


U4.5.1 6 graduates in full employment 2013-14







3.5 Research Prioritisation Plan and PhD Recruitment Strategy

The CRC Committee noted that the range of research is diverse and ambitious and some projects may be

thinly resourced. Accordingly the CRC will focus on definition of the scale and scope of the proposed

activities, through the development of a formalised prioritisation process.

Prioritisation Milestone Due date

1. Prioritisation process for the CRC’s research activities developed and submitted to

Commonwealth.

2. PhD recruitment strategy developed and submitted to Commonwealth

30/06/2010

3.6 Transition Plan

Transition Milestones Due date

1. Development of a transition plan for the CRC post CRC program funding in

accordance with any relevant guideline issued by the Commonwealth from time to

time, and as amended from time to time. Submit transition plan to the Commonwealth

prior to the CRC’s first major review.

1/01/2013

2. Transition plan reviewed and submitted to Commonwealth 30/06/2014



5. Final Transition plan reviewed and submitted to Commonwealth 30/06/2017

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