CPPSSI6037 — Conduct advanced remote sensing analysis
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What an assessment for CPPSSI6037 must cover
31 assessable components: 4 elements (18 performance criteria), 2 performance evidence and 11 knowledge evidence requirements. An audit-defensible tool maps every question and task back to these — that mapping is the coverage matrix Auditori generates alongside the assessment.
Elements & performance criteria
1 Plan remote sensing analysis.
- 1.1Analyse project specifications and determine appropriate remote sensing analysis methods.
- 1.2Select suitable image sources according to project specifications.
- 1.3Identify suitable images and examine metadata to meet project specifications.
- 1.4Obtain image data required to meet project specifications.
- 1.5Assess constraints of use of remote sensing data and plan contingencies to meet project requirements.
- 1.6Apply legislative and organisational requirements for accessing and using spatial data.
2 Analyse image using spectral indices.
- 2.1Perform radiometric correction on image, including converting images to reflectance or radiance values to enhance quality of image data.
- 2.2Apply spectral indices to image data and interpret results.
3 Analyse image using image classification algorithms.
- 3.1Apply convolution matrices to enhance quality of image data.
- 3.2Determine information classes required according to project specifications.
- 3.3Create training samples for required information classes.
- 3.4Evaluate training areas and create spectral signature file.
- 3.5Apply supervised classification algorithms to signature file.
- 3.6Conduct error analysis to calculate approximate accuracy of classification.
- 3.7Interpret results according to project specifications.
4 Document image analysis.
- 4.1Write up the methodology used to compile and analyse image data.
- 4.2Write up interpretation of results, noting accuracy and limitations.
- 4.3Present results in graphical, tabular or map format according to project requirements.
Performance evidence
- one project must analyse remote sensing data using spectral indices to transform the image to identify landscape patterns or features.
- one project must focus on performing classifications on datasets using supervised and unsupervised classification algorithms and training samples.
Knowledge evidence
- metadata relating to remote sensing data
- characteristics of multispectral imagery, including: spatial resolution, spectral resolution, radiometric resolution, temporal resolution
- spectral response patterns of common landcovers
- geometric and radiometric corrections applied to multispectral imagery
- functions and statistics available in image processing systems: band selections, contrast stretches, histogram plots, univariate and multivariate statistics
- remote sensing indices: vegetation indices, water indices, burn indices
- industry-accepted techniques for applying supervised and unsupervised classification algorithms to remote sensing data
- legislative requirements for data privacy, intellectual property and licensing when using remotely sensed data
- digital image data formats
- methods for validating spatial data sources and constraints on use
- key features of coordinate reference systems
Unit content sourced from training.gov.au — © Commonwealth of Australia, licensed under CC BY 4.0. Auditori is not affiliated with the Department of Employment and Workplace Relations.
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Real, unedited Auditori output (RIIHAN201E shown), branded for a sample RTO:
Questions about assessing CPPSSI6037
What does an assessment tool for CPPSSI6037 need to cover?
To satisfy the Principles of Assessment and Rules of Evidence, an assessment for CPPSSI6037 needs to address all 31 unit components: 4 elements with 18 performance criteria, 2 performance evidence requirements, 11 knowledge evidence requirements, and the foundation skills. A coverage matrix mapping each question and task to these components is what an auditor looks for.
How does Auditori generate an assessment tool for CPPSSI6037?
Auditori pulls the current release of CPPSSI6037 from training.gov.au and generates a complete package: candidate assessment, assessor guide with model answers and observation criteria, and a coverage matrix mapping every component. A suitably qualified person then reviews and approves the draft in a built-in workflow — consistent with ASQA's guidance on AI use in VET — before export as branded PDF and editable Word.
Is the first assessment tool really free?
Yes. Every new account includes one free credit — enough to generate the complete assessment tool for CPPSSI6037 — with no card and no subscription required. After that it's pay-as-you-go per unit.
Can I check my existing CPPSSI6037 assessment instead of generating a new one?
Yes — upload your existing assessment or learner guide and Auditori maps it against every element, performance criterion, PE and KE of CPPSSI6037, showing exactly what's covered and what's missing. Mapping costs a quarter of a credit.
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