This section describes the essential skills and knowledge and their level required for this unit

Required skills

communication skills to

consult effectively with clients and colleagues

impart knowledge and ideas through graphic oral written and visual means

computer skills to develop business documentation

literacy skills to

assess and use workplace information

conduct webbased searches and use digital techniques

read and write key performance reports including technical reports

research and evaluate to source SIS educational information

numeracy skills to

accurately record and collate

analyse errors

conduct image analysis

estimate costs

interpret and analyse statistics

perform mental calculations

undertake complex computations

organisational skills to plan and prioritise activities to meet contractual requirements

project management skills including ability to meet deadlines

spatial skills to

exercise precision and accuracy in relation to remote sensing

archive and retrieve spatial data

manage and manipulate spatial data

manage files

solve complex problems relating to height depth breadth dimension direction and position in actual operational activity and virtual representation

train others in spatial precision techniques

Required knowledge

budgetary mechanisms and restraints

computer platforms and software for image processing systems

data quality integrity

existing spatial datasets and dataset sources

digital image processing techniques

image enhancement manipulation and merger techniques

information management

metadata

OHS policies

organisational policies and guidelines

relevant legislative statutory and industry requirements and standards

resource management processes

risk analysis principles

spatial data formats handling and structure

spatial referencing systems

The evidence guide provides advice on assessment and must be read in conjunction with the performance criteria required skills and knowledge the range statement and the Assessment Guidelines for this Training Package

Overview of assessment

This unit of competency could be assessed on its own or in combination with other units relevant to the job function for example CPPSISA Determine suitable information sources to create new spatial datasets and CPPSISA Design a spatial project plan

This unit of competency could be assessed on its own or in combination with other units relevant to the job function, for example CPPSIS5059A Determine suitable information sources to create new spatial datasets, and CPPSIS6024A Design a spatial project plan.

Critical aspects for assessment and evidence required to demonstrate competency in this unit

A person who demonstrates competency in this unit must be able to provide evidence of

applying remote sensing technology

communicating graphically

understanding copyright and ownership constraints

determining data requirements

evaluating suitability of available data against project specifications

identifying sources of data

knowledge of spatial project requirement and spatial referencing systems

Specific resources for assessment

Resource implications for assessment include access to

assessment instruments including personal planner and assessment record book

assignment instructions work plans and schedules policy documents and duty statements

registered training provider of assessment services

relevant guidelines regulations and codes of practice

suitable venue and equipment

Access must be provided to appropriate learning and assessment support when required

Where applicable physical resources should include equipment modified for people with disabilities

Context of assessment

Holistic based on the performance criteria evidence guide range statement and required skills and knowledge

Method of assessment

Demonstrated over a period of time and observed by the assessor or assessment team working together to conduct the assessment

Demonstrated competency in a range of situations that may include customerworkplace interruptions and involvement in related activities normally experienced in the workplace

Obtained by observing activities in the field and reviewing induction information If this is not practicable observation in realistic simulated environments may be substituted

Guidance information for assessment

Assessment requires that the clients objectives and industry expectations are met If the clients objectives are narrowly defined or not representative of industry needs it may be necessary to refer to portfolio case studies of a variety of SIS requirements to assess competency

Oral questioning or written assessment and hypothetical situations scenarios may be used to assess underpinning knowledge in assessment situations where the candidate is offered a preference between oral questioning or written assessment questions are to be identical

Supplementary evidence may be obtained from relevant authenticated correspondence from existing supervisors team leaders or specialist training staff

All practical demonstration must adhere to the safety and environmental regulations relevant to each State or Territory

Where assessment is for the purpose of recognition recognition of current competencies RCC or recognition of prior learning RPL the evidence provided will need to be authenticated and show that it represents competency demonstrated over a period of time

In all cases where practical assessment is used it will be combined with targeted questioning to assess the underpinning knowledge

Assessment processes will be appropriate to the language and literacy levels of the candidate and any cultural issues that may affect responses to the questions and will reflect the requirements of the competency and the work being performed

Image, merger and modelling techniques may include:

Organisational requirements may include:

Project specifications refer to:

Remote sensing process includes:

Digital image processing techniques may include:

Digital image data formats may include:

Additional characteristics of image may include:

Metadata may include:

OHS may include:

Suitabilitymay include:

Availability includes:

Constraints may include:

Characteristics and statistics may include:

Image calculations may include:

Error analysis is:

Integration and merging techniques may include:

Techniques of use for the GIS data may include: