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Spectral Explorer Overview

Spectral Explorer is the workspace for inspecting imagery, comparing layers, creating labels and masks, and running analysis tools against spectral data.

The workspace is organized as follows:

  • The top bar contains the Clarity menu, the Tools menu, Help, the current workspace or project selector, panel controls, and sharing.
  • The left rail switches between Catalog and Browse sources.
  • The center canvas shows either Inspect view or Map view.
  • The right Inspector opens when you select a source, layer, label, mask, result group, or STAC preview.
  • The bottom dock contains Spectral Signatures, Label Attributes, dynamic PCA tabs, and Operation Chain when a staged operation is active.

Core concepts​

Sources​

A source is an image or remote item attached to the workspace. Source rows can represent uploaded HSI imagery, imported STAC items, shapefiles, overlay images, or other supported source types.

Select a source to inspect it. Double-click a source to focus the canvas on it. Right-click a source for additional actions.

Data layers and analysis layers​

Data layers are the source data products available for an image, such as raw, radiance, reflectance, emissivity, or temperature layers. The active data layer controls which image product many analysis tools use.

Analysis layers are renderable products in the workspace, such as RGB composites, band math results, PCA rasters, matched-filter results, MTMF results, RX results, endmembers, model inference outputs, and uploaded external results.

Catalog lenses​

The Catalog panel groups source content into lenses:

  • Explore shows visual and analysis layers, plus reference spectra.
  • Process shows data layers and masks.
  • Label shows exploratory and finalized labels.

The same source tree remains in place while the lens changes which subsections are shown.

Inspect and Map views​

Use the Inspect and Map buttons in the canvas toolbar to change the main view.

Inspect focuses on source-level inspection, which displays images in their raw form. Great for labeling or direct analysis on the raster data.

Map places workspace sources and layers in geographic context. This is useful for analyzing the data contextually and relative to other images.