askvity

How to Change the Transparency of Raster in ArcGIS Pro?

Published in ArcGIS Raster 2 mins read

To change the transparency of a raster layer in ArcGIS Pro, you can use the Transparency slider in the Contents pane. This reduces the raster's opacity, allowing underlying layers to become visible.

Here's a detailed breakdown:

  1. Locate the Raster Layer: In the Contents pane of ArcGIS Pro, identify the raster layer whose transparency you want to adjust.

  2. Access the Appearance Tab: Select the raster layer in the Contents pane. This will activate the Appearance tab on the ribbon.

  3. Adjust the Transparency: In the Appearance tab, find the Transparency slider. Drag the slider to the left to increase the transparency (make the raster more see-through) or to the right to decrease the transparency (make the raster more opaque). You can also directly enter a percentage value for transparency. A value of 0% means fully opaque, while 100% means fully transparent.

  4. Observe the Change: As you adjust the transparency, the raster layer in the map view will update in real-time, allowing you to visually assess the effect of the change. Ensure the raster layer you're adjusting is at the top of the Contents pane to accurately visualize the transparency against the underlying layers.

Important Considerations:

  • Layer Order: The raster layer must be the topmost layer in the Contents pane for its transparency to be visible against underlying layers. If the raster layer is beneath other opaque layers, changing its transparency will have no visible effect.
  • Raster Type: This method works for most raster data types supported in ArcGIS Pro.
  • Alternative Method: You can also access the transparency settings via the Layer Properties. Right-click the layer in the Contents pane, select Properties, and then navigate to the Display tab. Here, you'll find a Transparency slider similar to the one in the Appearance tab.

By adjusting the transparency, you can effectively visualize multiple raster layers and vector data simultaneously, enhancing map interpretation and analysis.

Related Articles