NTISthis.com

Evidence Guide: CPPSIS4026 - Digitally enhance and process image data

Student: __________________________________________________

Signature: _________________________________________________

Tips for gathering evidence to demonstrate your skills

The important thing to remember when gathering evidence is that the more evidence the better - that is, the more evidence you gather to demonstrate your skills, the more confident an assessor can be that you have learned the skills not just at one point in time, but are continuing to apply and develop those skills (as opposed to just learning for the test!). Furthermore, one piece of evidence that you collect will not usualy demonstrate all the required criteria for a unit of competency, whereas multiple overlapping pieces of evidence will usually do the trick!

From the Wiki University

 

CPPSIS4026 - Digitally enhance and process image data

What evidence can you provide to prove your understanding of each of the following citeria?

Identify image data.

  1. Project specifications, survey area and types of image data requirements are determined in consultation with appropriate persons.
  2. Possible sources of image data are identified to meet project specifications.
  3. Constraints of different types and formats of image data are identified in relation to project specifications.
Project specifications, survey area and types of image data requirements are determined in consultation with appropriate persons.

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Possible sources of image data are identified to meet project specifications.

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Constraints of different types and formats of image data are identified in relation to project specifications.

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Process image data.

  1. Image data is accessed and analysed using digital techniques to clarify features and properties according to project specifications.
  2. Ground control targets for photogrammetric mapping are checked to enhance image data.
  3. Image data is processed, analysed and classified according to organisational procedures to achieve project specifications.
Image data is accessed and analysed using digital techniques to clarify features and properties according to project specifications.

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Ground control targets for photogrammetric mapping are checked to enhance image data.

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Image data is processed, analysed and classified according to organisational procedures to achieve project specifications.

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Finalise digital image enhancement tasks.

  1. Data image problems are identified and resolved using enhancement techniques according to organisational requirements.
  2. Information from data images is used to meet project specifications, and documentation is completed according to organisational requirements.
Data image problems are identified and resolved using enhancement techniques according to organisational requirements.

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Information from data images is used to meet project specifications, and documentation is completed according to organisational requirements.

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Assessed

Teacher: ___________________________________ Date: _________

Signature: ________________________________________________

Comments:

 

 

 

 

 

 

 

 

Instructions to Assessors

Evidence Guide

Elements describe the essential outcomes.

Performance criteria describe the performance needed to demonstrate achievement of the element. Where bold italicised text is used, further information is detailed in the range of conditions.

1.

Identify image data.

1.1.

Project specifications, survey area and types of image data requirements are determined in consultation with appropriate persons.

1.2.

Possible sources of image data are identified to meet project specifications.

1.3.

Constraints of different types and formats of image data are identified in relation to project specifications.

2.

Process image data.

2.1.

Image data is accessed and analysed using digital techniques to clarify features and properties according to project specifications.

2.2.

Ground control targets for photogrammetric mapping are checked to enhance image data.

2.3.

Image data is processed, analysed and classified according to organisational procedures to achieve project specifications.

3.

Finalise digital image enhancement tasks.

3.1.

Data image problems are identified and resolved using enhancement techniques according to organisational requirements.

3.2.

Information from data images is used to meet project specifications, and documentation is completed according to organisational requirements.

Required Skills and Knowledge

Elements describe the essential outcomes.

Performance criteria describe the performance needed to demonstrate achievement of the element. Where bold italicised text is used, further information is detailed in the range of conditions.

1.

Identify image data.

1.1.

Project specifications, survey area and types of image data requirements are determined in consultation with appropriate persons.

1.2.

Possible sources of image data are identified to meet project specifications.

1.3.

Constraints of different types and formats of image data are identified in relation to project specifications.

2.

Process image data.

2.1.

Image data is accessed and analysed using digital techniques to clarify features and properties according to project specifications.

2.2.

Ground control targets for photogrammetric mapping are checked to enhance image data.

2.3.

Image data is processed, analysed and classified according to organisational procedures to achieve project specifications.

3.

Finalise digital image enhancement tasks.

3.1.

Data image problems are identified and resolved using enhancement techniques according to organisational requirements.

3.2.

Information from data images is used to meet project specifications, and documentation is completed according to organisational requirements.

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.

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.

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.