Reference Resolution
Uses the selected reference raster's pixel size.
Best used when: one input defines the desired grid.
Raster Mosaic
Merge two or more raster scenes into one union-extent raster while aligning coordinate system, resolution and pixel grid.
Shared Raster ToolsEnd-User DocumentationTheory + Formula + Parameters1. What This Feature Does
Merge two or more raster scenes into one union-extent raster while aligning coordinate system, resolution and pixel grid.
Cloud workflow: choose data → configure the scientific method → run → review the resulting layer/report. No programming is required.
2. Recommended Workflow
Add 2–20 rasters.
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Choose a reference raster and target CRS.
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Choose output resolution mode.
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Select reprojection resampling.
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Choose overlap priority.
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Create the mosaic.
3. Theory, Methods & Equations
Highest Resolution
Uses the finest available input resolution.
Best used when: retaining the smallest pixel size is useful; remember coarser sources are only resampled.
Lowest Resolution
Uses the coarsest resolution.
Best used when: avoiding unnecessary upsampling is preferred.
Custom Pixel Size
Uses user-defined X/Y pixel size.
Best used when: a predefined output grid is required.
First / Last Raster Wins
Controls which raster supplies values in overlapping valid areas.
Best used when: input priority is known.
4. Input Data
| Input | Type | Requirement | Description |
|---|---|---|---|
| Input Rasters | raster_stack | Required | Add 2-20 raster sources. Each row accepts exactly one cloud storage key, URL, or local engine path. Optional band selections are allowed, but every input must resolve to the same selected band count. |
5. Parameters Available in the Application
| Parameter | Default | Choices / Range | How to Use It |
|---|---|---|---|
| Reference Raster | 1 | 1 to — | 1-based raster index used by Reference resolution mode and for output band descriptions. |
| Target EPSG | 4326 | 1 to — | Output coordinate system. EPSG:4326 is recommended for the current iTSensing Cloud raster-view and first-tile pipeline. |
| Output Resolution | reference | Reference Raster, Highest Resolution, Lowest Resolution, Custom Pixel Size | |
| Custom Pixel Size X | — | 1e-09 to — | Shown for: custom |
| Custom Pixel Size Y | — | 1e-09 to — | Shown for: custom |
| Reprojection Resampling | bilinear | Nearest Neighbour, Bilinear, Cubic, Lanczos, Average | Use Nearest Neighbour for class rasters. Bilinear is the default for continuous satellite imagery. |
| Overlap Priority | first | First Raster Wins, Last Raster Wins | |
| Output Nodata | -9999.0 | — | |
| Maximum Output Pixels | 400000000 | 1000000 to 2000000000 | Safety limit for width × height. Increase only when temporary disk and processing capacity are sufficient. |
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.