Marine remote sensing toolkit

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BRG The University of Queensland
Fundamentals

- Main page
- Pre-processing
- Field data collection
- Mapping approaches
- Change and trends
- Delivery
  - Post classification
  - Error assessment
    - Sampling design
    - Reference data
    - Error matrix
    - Accuracy measures
    - Quantitative products
    - Interpreting accuracy
  - Final map creation

# Sampling unit size

Prior to this stage ensure you know your image and field data positional:

- ACCURACY - difference between true and actual position
- PRECISION - minimum measured positional distance

Need to consider how you will match your reference data sample unit to your image data, especially in terms of the spatial scale of both data sets, they need to match.

The positional accuracy must be high enough to allow sample units to match image pixels or objects

Options for sample unit size of observations

- Points (pixels)
- Lines
- Areas or polygons