Unit of competency Outline

Date retreived
23/07/2026 11:12 PM AWST

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Conduct advanced remote sensing analysis

Conduct advanced remote sensing analysis

Unit of competency
National Code
CPPSIS6037A
State Code
WE836
TGA Status
Replaced
DTWD Status
Replaced
Current Release Number
1.00
Current Release Date
27/11/2012
State Implementation and Classification
Approved Date
25/10/2013
Field of Education
031101 - Surveying
Original Release Date
25/10/2013
Nominal Hours
120
Description
This unit of competency specifies the outcomes required to enhance, classify and process remotely sensed data, using both hard copy and digital imagery in a geographic information systems (GIS) context. It requires the ability to apply wide-ranging specialised technical, creative and conceptual skills, a broad knowledge of spatial datasets, and accountability for personal and group outcomes. Functions will entail complying with and developing or amending organisational guidelines.
Notes
Elements and Performance Criteria
1 Determine appropriate digital image processing techniques.
  • 1.1 Appropriate image, merger and modelling techniques are determined according to organisational requirements and project specifications.
  • 1.2 Appropriate data collection and analysis techniques in remote sensing process are determined according to project requirements.
  • 1.3 Suitable digital image processing techniques and digital image data formats are selected.
  • 1.4 Additional characteristics of image and metadata are included.
  • 1.5 OHS issues are considered at all times.
2 Select suitable computing platforms and software systems.
  • 2.1 Spatial computing platforms and software systems are assessed for suitability in line with the project specification.
  • 2.2 Availability of suitable data is verified with the potential suppliers.
  • 2.3 Constraints on use of spatial data are assessed against specification.
  • 2.4 Commercially available image processing systems are assessed to determine appropriate components, menu items, characteristics and statistics.
3 Conduct image enhancements and manipulations.
  • 3.1 Transformation routines using image calculations are conducted.
  • 3.2 Edge enhancements and smoothing filters are applied with the use of convolution matrices.
  • 3.3 Image transformation is performed with channels of brightness, greenness and wetness.
  • 3.4 Imagery for distribution is determined.
4 Perform supervised and unsupervised classifications on datasets.
  • 4.1 Thematic classifications and relative differentiations between supervised and unsupervised classification algorithms are determined.
  • 4.2 Supervised classifications of algorithms are conducted with the use of training areas.
  • 4.3 Hard copy outputs are produced according to specifications.
  • 4.4 Error analysis is applied to perform an approximate accuracy assessment of classifications.
5 Conduct data merger and GIS integration.
  • 5.1 Components of integration and merging techniques are summarised.
  • 5.2 Techniques of use for the GIS data are documented.
The range statement relates to the unit of competency as a whole. It allows for different work environments and situations that may affect performance. Bold italicised wording in the performance criteria is detailed below. Add any essential operating conditions that may be present with training and assessment depending on the work situation, needs of the candidate, accessibility of the item, and local industry and regional contexts.
Image, merger and modelling techniques may include:
data merging and GIS integration
environmental modelling
supervised and unsupervised classification.
Organisational requirements may include:
Australian Computer Society code of ethics
company policy
legislation relevant to the work or service function
manuals
OHS policy and procedures
personnel practices and guidelines outlining work roles, responsibilities and delegations.
Project specifications refer to:
detailed technical descriptions of the spatial data and its requirements.
Remote sensing process includes:
measurement or acquisition of information of some property of an object or phenomenon by a recording device that is not in physical or intimate contact with object or phenomenon under study, including the practice of data collection in wavelengths from ultraviolet to radio regions
acquisition of information about earth’s surface by electronic and optical instruments from:
satellites
airborne platforms
ground observation.
Digital image processing techniques may include:
image enhancement, including:
contrast
multi-image manipulation
spatial manipulation
image rectification, including:
geometric and digital image correction
noise removal.
Digital image data formats may include:
band interleaved by line (BIL)
band interleaved by pixel (BIP)
band sequential (BSQ)
run length encoding (RLE).
Additional characteristics of image may include:
soil
vegetation bodies
water.
Metadata may include:
summarised information about a spatial dataset that describes the characteristics of the dataset, including:
availability
conditions of use
coordinate system
currency
date of acquisition
quality
source
spatial data acquisition methodologies
version control.
OHS may include:
Australian standards
development of site safety plan
identification of potential hazards
inspection of work sites
training staff in OHS requirements
use of equipment and signage.
Suitabilitymay include:
assessment of whether the spatial data will meet the specification in regard to:
accuracy
completeness
coverage
density
logical consistency.
Availability includes:
assessment of whether the spatial data can be obtained and used for client requirements.
Constraints may include:
administrative
copyright
financial
legal and legislative
technical limitations.
Characteristics and statistics may include:
band selections
hard copy outputs
histogram plots
lookup tables
univariate and multivariate statistics.
Image calculations may include:
greenness ratios
greenness ratios plus dark value
normalised difference vegetation indices.
Error analysis is:
a monitoring process that focuses on scenario planning or possible implications of probable errors.
Integration and merging techniques may include:
change detection
multi-sensor imagery
multi-temporal.
Techniques of use for the GIS data may include:
cartographic modelling
environmental modelling
land cover classification.
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 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 customer/workplace 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.
Replaces
State Code National Code Title Type
D1556 CPPSIS6017A Conduct advanced remote sensing analysis Unit of competency
Replaced By
State Code National Code Title Type
AXH95 CPPSIS6037 Conduct advanced remote sensing analysis Unit of competency