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Follow the links below to find material targeted to the unit's elements, performance criteria, required skills and knowledge

Elements and Performance Criteria

1. Identify image data.
   • Project specifications, survey area and types of image data requirements are determined in consultation with appropriate persons.
   • Possible sources of image data are identified to meet project specifications.
   • Constraints of different types and formats of image data are identified in relation to project specifications.
2. Process image data.
   • Image data is accessed and analysed using digital techniques to clarify features and properties according to project specifications.
   • Ground control targets for photogrammetric mapping are checked to enhance image data.
   • Image data is processed, analysed and classified according to organisational procedures to achieve project specifications.
3. Finalise digital image enhancement tasks.
   • Data image problems are identified and resolved using enhancement techniques according to organisational requirements.
   • Information from data images is used to meet project specifications, and documentation is completed according to organisational requirements.

Range Statement

This section specifies work environments and conditions that may affect performance. Essential operating conditions that may be present (depending on the work situation, needs of the candidate, accessibility of the item, and local industry and regional contexts) are included. Bold italicised wording, if used in the performance criteria, is detailed below.
Appropriate persons must include at least one of the following:	client experienced colleague supervisor or line manager.

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Performance Evidence

A person demonstrating competency in this unit must satisfy the requirements of the elements, performance criteria, foundation skills and range of conditions of this unit. The person must also use remote sensing applications to digitally enhance, process and classify two of the following types of image data for two different projects:

digital aerial photographs

digital terrestrial images

images from an unmanned aerial vehicle

light detection and ranging (LiDAR)

satellite images.

One of the above projects must have a built environment focus, and the other a natural environment focus.

While digitally enhancing and processing the above image data, the person must:

analyse project specifications to clarify types of image data required and to identify possible sources of suitable image data

apply ground controls to aerial photographs

calculate information in digital and hard copy image data to measure and identify scale

communicate clearly with others to clarify and discuss work tasks

comply with industry-accepted standards for processing remotely sensed data

comply with legislative and organisational requirements relating to data privacy and information copyright

comply with organisational requirements relating to health and safety when using screen-based equipment, and completing records and documentation

georeference images

identify and resolve constraints and problems relating to image data

identify ground controls, including targets for horizontal and vertical control

use software applications to access, analyse and enhance image data.

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Knowledge Evidence

A person demonstrating competency in this unit must demonstrate knowledge of:

basic properties and characteristics of image data used in spatial applications

key features of spectral signatures, discriminant functions, supervised and unsupervised clustering, and ground trothing

organisational policies and guidelines relating to equipment use, health and safety, and accessing and formatting image data and copyright

photogrammetric control requirements relating to three-dimensional (3-D) model image data

possible sources of image data

set-out and format requirements for image data

techniques for enhancing image resolution, including basic interpolation.

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