Support Interactive Charts from Imagery Layers in Experience Builder Chart Widget

kntr — Wed, 29 Jul 2026 08:41:13 GMT

Summary

The Experience Builder Chart widget currently supports feature layers but does not support imagery layers (Image Services). Adding native support for imagery layers would enable users to build interactive dashboards that visualize pixel values, temporal profiles, spectral signatures, histograms, and raster statistics directly from imagery without requiring preprocessing into feature layers.

This would unlock many imagery workflows while keeping the no-code Experience Builder authoring experience.

Problem

Imagery is increasingly used as operational data rather than simply a basemap. Users frequently build Experience Builder applications using:

Satellite imagery
Drone imagery
Land cover products
Elevation models
Weather and environmental raster services
Time-enabled multidimensional imagery

However, there is currently no straightforward way to create charts directly from these imagery layers.

To visualize imagery values, users must:

export raster values
convert pixels into features
create custom JavaScript widgets
develop separate dashboards

These workarounds introduce unnecessary complexity and reduce the value of Experience Builder as a low-code platform.

Proposed Enhancement

Allow the Experience Builder Chart widget to consume imagery layers as a data source.

Supported chart types could include:

Pixel value profile
Spectral profile
Temporal profile (time-enabled imagery)
Histogram
Class distribution
Band comparison
Raster statistics
Zonal summaries

Charts should interact with imagery using existing ArcGIS Image Server capabilities and raster functions without requiring feature conversion.

Example Use Cases

1. Agriculture Monitoring

A user clicks a field on a satellite image.

The chart automatically displays:

NDVI trend throughout the growing season
vegetation health profile
rainfall vs vegetation response

No custom development required.

2. Disaster Assessment

An emergency manager selects a wildfire area.

The chart immediately shows:

burn severity distribution
before/after vegetation index
affected land cover percentages

This enables rapid situational awareness during disaster response.

3. Environmental Monitoring

A scientist clicks a lake.

The chart displays:

chlorophyll concentration over time
water temperature trend
turbidity trend

All values are retrieved directly from multidimensional imagery.

4. Urban Heat Island Analysis

Selecting any location produces:

land surface temperature profile
comparison between years
seasonal temperature variation

Ideal for climate adaptation dashboards.

5. National Land Cover Explorer

Users click an administrative boundary.