Range / Rule Reclassification
Applies a piecewise mapping from source values to output classes.
y = ck if ak ≤ x < bk
Best used when: continuous values need thematic classes or class codes need recoding.
Raster Reclassify
Replace continuous or categorical raster values according to user-defined rules, producing a new classified/recoded raster.
Shared Raster ToolsEnd-User DocumentationTheory + Formula + Parameters1. What This Feature Does
Replace continuous or categorical raster values according to user-defined rules, producing a new classified/recoded raster.
Cloud workflow: choose data → configure the scientific method → run → review the resulting layer/report. No programming is required.
2. Recommended Workflow
Choose raster band.
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Define old-value/range to new-value rules.
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Choose how unmatched/nodata values are handled.
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Run and verify the class legend.
3. Theory, Methods & Equations
4. Input Data
| Input | Type | Requirement | Description |
|---|---|---|---|
| Input Raster | raster | Required |
5. Parameters Available in the Application
| Parameter | Default | Choices / Range | How to Use It |
|---|---|---|---|
| Raster Band | — | — | |
| Reclass Rules | — | — | Example: 0:10:1;10:20:2;20:100:3 |
| Default Value | 0 | — | |
| Output Nodata | -9999 | — |
6. Output & Interpretation
The result should be interpreted according to the selected method and the physical meaning of the input data. Preserve source units, coordinate reference information, NoData meaning, acquisition date, and preprocessing level when comparing results.
Scientific interpretation: an algorithm can produce a numerically valid result even when the input data are unsuitable. Always check masks, units, sensor characteristics, spatial resolution and reference data.
7. Best Practices
- Use analysis-ready inputs and remove invalid/cloud/noise artifacts that are not part of the target phenomenon.
- Choose parameters from the physical scale of the data, not only from visual appearance.
- Keep categorical and continuous rasters conceptually separate when selecting interpolation/resampling methods.
- Compare the result with the source image and independent reference information.
- Document the settings used when results will be compared across dates, sensors or study areas.