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Loading Data in ArcGIS Pro

Wyvern hyperspectral image in color-infrared with correct contrast settings

Final output of this tutorial

Before you start...

Before starting this tutorial, please ensure you have done the following:

  • ArcGIS Pro has been downloaded installed on your machine. Visit pro.arcgis.com to download ArcGIS Pro.
  • You have a Wyvern image you can load into ArcGIS Pro. If you haven't downloaded one already, we'll be using this image for the next steps.

In this tutorial, there will be references to the Ribbon. This is the primary interface for working with ArcGIS Pro.

ArcGIS Ribbon highlighted at the top of the interface

ArcGIS Ribbon

Starting a new ArcGIS Pro Project

Before opening the Wyvern image, an ArcGIS Project should be created:

  • Open ArcGIS Pro.
  • Click New Project -> Map.
  • Name your project and chose a location for saved files on your computer.

ArcGIS Pro will now be open with the basemaps World Topographic Map and World Hillshade.

Empty ArcGIS Pro Project

Empty ArcGIS Pro Project

Loading Data into ArcGIS Pro

To load an image into ArcGIS, you have a number of different options:

  • Using the Add Data tool.
    • Ribbon -> Map -> Add Data -> Browse -> Navigate to and select the Wyvern GeoTIFF file -> Click OK.
  • From your file explorer.
    • Drag-and-drop the GeoTIFF file into the ArcGIS Pro main window.
  • Depending on your ArcGIS settings, you may be prompted to Calculate Statistics. This option calculates image statistics which will allow ArcGIS to more quickly read and display the image. It will take some time to calculate once but will be faster in the long run!

Congrats! You have successfully loaded an image into ArcGIS Pro. ArcGIS will automatically read wavelength information about the Dragonette image. This means it will automatically load the correct bands for an natural color RGB!

ArcGIS Pro displaying a Wyvern hyperspectral GeoTIFF

Wyvern GeoTIFF rendered in ArcGIS Pro

Now, to see more detail, let's zoom into an area we're interested in using the scroll wheel or zoom tools.

Zoom of Wyvern hyperspectral data natural color

Zoom of Wyvern hyperspectral data natural color

Band Combinations

Since ArcGIS automatically reads Wyvern's band information, it can also quickly change between natural color and color infrared band combinations!

Below is a list of bands that ArcGIS will use for visualizations.

NameDescriptionRed BandGreen BandBlue Band
Natural Color (RGB)Normal visualization660nm549nm503nm
Color InfraredVegetation analysis799nm660nm549nm

To change the band combinations to color infrared, first select the Wyvern image in the Contents Pane to the left of the map. Then click Ribbon -> Raster Layer -> Band Combination -> Color Infrared.

Color Infrared Image

Color Infrared Image

Adjusting Stretch

Every image is slightly different in its lighting conditions and distribution of values within each band. ArcGIS has default stretch settings that work alright for most images, but definitely benefit from careful adjustment.

To change the stretch, select the image layer in the Contents Pane to the left of the map. Then right-click the image layer -> Symbology. The symbology pane will open to the right of the map.

Opening the Symbology Pane

Opening the Symbology Pane

In this case, the Stretch type is set to Percent Clip.

To easily adjust the stretch, change Stretch type to Standard Deviation. This will default the Number of standard deviations to 2. This value can be changed to increase or decrease the difference between bright and dark pixels.

Stretch standard deviation 2

Stretch standard deviation 2

In this image, the bright clouds are affecting the image stretch saturating some of the ground features. To see more detail in these saturated ares, let's set the Number of standard deviations to 4.

Stretch standard deviation 4

Stretch standard deviation 4

Now you can see detail in some of the fields that were previously saturated.

From the symbology pane, different stretch types and band combinations can be used to view Wyvern's hyperspectral data in different ways!