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How to classify thresholds

Use this when you need to generate specific classes (e.g. low, med, high) based on threshold values

Written by Karen Joyce

Who can use this feature

Editors of a project within a Professional or Pro + workspace.

Selection requirements for tool to work

Any of the following layers:

Indices (e.g. NDVI, Greenness index...)

DSM, DTM, height

Slope

Classify thresholds lets you turn continuous data into clear, meaningful categories from your drone or satellite images.

Instead of working with raw spectral index values (NDVI, greenness index etc), you can define your own threshold ranges (for example low, medium, high) and see those classes mapped across your data. This makes it much easier to interpret patterns, compare areas, and communicate results to non-technical stakeholders.

You’re in control of:

  • How many classes you want;

  • Where the boundaries sit; and

  • How to label those classes.

This is especially useful when you need to:

  • Identify areas above or below meaningful ecological or operational limits;

  • Standardise classifications across sites or surveys; and

  • Produce outputs that are easy to explain, justify, and reuse.

  1. Select your index layer

  2. Click the Classify thresholds button from the context toolbar (or access via the toolbox under Analysis > Classify thresholds)

  3. Choose your number of threshold categories (five are set as default)

  4. Optionally change the following

    1. Colour ramp or individual category colours

    2. Threshold values to suit your data

    3. The labels for your final categories

  5. Click Run

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