My Account     Contact Us     Cart

Geographic Imager Channel Management and Multispectral Images

The Channel Management tool in Geographic Imager is excellent for quickly making false-color composites from multispectral images in Adobe Photoshop. In this blog, we’ll take a look at Channel Management and see how it can be used on LandSat 8 imagery.

Most satellite providers supply a tile or scene as several images while each image captures a different wavelength of the satellite’s electromagnetic spectrum. The LandSat 8 satellite instruments measure in the visible, near-infrared and shortwave infrared portions of the spectrum. Its images have 15-metre panchromatic and 30-metre multi-spectral spatial resolutions. Here is a list of all LandSat 8 band names, bandwidth, and resolution.

Band # | Type Bandwidth (µm) | Resolution (m)

  • Band 1 Coastal Aerosol | 0.43 – 0.45 | 30
  • Band 2 Blue | 0.45 – 0.51 | 30
  • Band 3 Green | 0.53 – 0.59 | 30
  • Band 4 Red | 0.63 – 0.67 | 30
  • Band 5 Near Infrared (NIR) | 0.85 – 0.88 | 30
  • Band 6 SWIR 1 | 1.57 – 1.65 | 30
  • Band 7 SWIR 2 | 2.11 – 2.29 | 30
  • Band 8 Pan | 0.50 – 0.68 | 15
  • Band 9 Cirrus | 1.36 – 1.38 | 30
  • Band 10 TIRS 1 | 10.6 – 11.19 | 30 (100)
  • Band 11 TIRS 2 | 11.5 – 12.51 | 30 (100)

 

Before starting, you can download some sample LandSat 8 imagery here and follow this tutorial.

To create different band combinations, we’ll first need to combine images into one image and then use Channel Management to assign band combinations.

1. In Adobe Photoshop, open all of the 30-metre resolution images:

  • Band 1 – Coastal Aerosol
  • Band 2 – Blue
  • Band 3 – Green
  • Band 4 – Red
  • Band 5 – Near Infrared (NIR)
  • Band 6 – SWIR 1
  • Band 7 – SWIR 2
  • Band 9 – Cirrus

 

When using Landsat 8 imagery, file names have a _B and the band number as a suffix (e.g. LC80450292013225LGN00_B1.TIF). Note that Band 8 wsa not used because it is has a different resolution.

Now that the band images are open, we can continue to combine the images into a single image using the Adobe Photoshop Merge Channels feature to store the spectral information. Each channel is grayscale which can be used to store different information.

2. Go to View > Channels to open the Channels panel. In the panel options menu, select Merge Channels. In the Merge Channels dialog box, the Mode will automatically default to Multichannel because there are eight channels. Click OK.

The Merge Multichannel dialog box will immediately appear. In this dialog box, we’ll specify each image to use for each channel. It’s very important to assign a channel to the according image. In this case, the naming convention of the images makes it easy because the images are in the correct order. In addition, when combining multiple images, it is good practice to ensure that all the images have the exact same image size and are georeferenced the same.

3. Notice the “Specify Channel 1” text, you’ll assign the Band 1 image to it. Click the Image drop-down to display all the images that are compatible to be merged. Select the first image which ends in _B1.tif and click the Next button. For “Specify Channel 2”, select the image ending with _B2.tif and click Next.

4. Repeat the steps for the remaining images until all eight channels have been assigned an image, ensuring the channel number matches the image band number. The only exception will be Channel 8 which uses Band 9 – Cirrus (_B9.tif) because we didn’t include the panchromatic band 8 which has a higher resolution and different georeference.

The images are now merged into a single image in Multichannel mode. Since an image in  Multichannel mode is not compatible with Geographic Imager, it will have to be converted to Grayscale mode.

5. Go to Image > Mode > Grayscale. This will assign the first alpha channel (Band 1 – Coastal Aerosol) to use the Grayscale colour space.

6. In the Channels panel, rename all the channels to their corresponding bands.

  • Alpha 2 -> Band 2 – Blue
  • Alpha 3 -> Band 3 – Green
  • Alpha 4 -> Band 4 – Red
  • Alpha 5 -> Band 5 – NIR
  • Alpha 6 -> Band 6 – SWIR 1
  • Alpha 7 -> Band 7 – SWIR 2
  • Alpha 8 -> Band 9 – Cirrus

 

Renaming channels makes assigning band combinations easier in later steps. It is recommended to save this image as the source for all band combinations and use Save As to create a new images when saving band combinations.

7. In the Geographic Imager panel, click the Channel Management button.

The Channel Management dialog box shows the current colour mode is Grayscale.

8. Change the Color Mode to RGB Color.

Now the fun begins, we can easily create any band combination. A traditional color infrared image (CIR) is band combination 5-4-3. This refers to what band is assigned to the RGB channels, respectively. CIR is good at determining the health of vegetation; the cell structure of leaves strongly reflects near-infrared light and the stronger the light sensed, the healthier the plants are.

8. Assign Band 5 as the Red channel, Band 4 as the Green channel, and Band 3 as the Blue channel.

9. Click OK to complete the process.

We now have a image which can be used to determine healthy vegetation which is shown in bright red. This makes it easier to determine different types of vegetation making it easier to identify crops and wetland.

Some other common Landsat band combinations are:

  • Natural Color: 4-3-2
  • False Color (urban): 7-6-4
  • Color Infrared (vegetation): 5-4-3
  • Agriculture: 6-5-2
  • Atmospheric Penetration: 7-6-5
  • Healthy Vegetation: 5-6-2
  • Land/Water: 5-6-4
  • Natural With Atmospheric Removal: 7-5-3
  • Shortwave Infrared: 7-5-4
  • Vegetation Analysis: 6-5-4

 

Another band combination of 6-5-2 can show how healthy vegetation is.

10. Use the History panel to go to the previous step.

This will reset the Channels so that another band combination can be configured easily.

Another great way to make non-destructive edits is to use Adobe Photoshop adjustment layers. Adjustment layers layer can be used individually or in combination to adjust settings such as levels, exposure, contrast, brightness, hue, and saturation to make it easier for the human eye to identify features. It is not recommended to alter an images resolution if it is going to be used in third-party remote sensing software.

There are several options when saving an image like this and it depends on whether you want to maintain the channels or not. When the channels aren’t needed, GeoTIFF is a popular format and is compatible with most spatial software applications. In the TIFF save options, you can uncheck the option for Alpha Channel and Spot, which will prevent saving the alpha channels and will create a saved copy. You can also simply save it as a PSD file (a default reference file will be created) and with all the alpha channels intact. Note that including channels will increase the size of the file.






Blog Archive

November 2024 (1)
October 2024 (1)
September 2024 (2)
August 2024 (2)
July 2024 (2)
June 2024 (1)
May 2024 (2)
April 2024 (2)
March 2024 (2)
February 2024 (1)
January 2024 (1)
December 2023 (1)
November 2023 (2)
October 2023 (2)
September 2023 (1)
August 2023 (1)
July 2023 (3)
June 2023 (1)
February 2023 (1)
January 2023 (2)
December 2022 (1)
November 2022 (2)
October 2022 (2)
September 2022 (1)
May 2023 (1)
August 2022 (2)
July 2022 (1)
June 2022 (2)
May 2022 (1)
February 2022 (1)
January 2022 (2)
August 2022 (1)
December 2021 (3)
November 2021 (5)
October 2021 (1)
September 2021 (3)
August 2021 (2)
July 2021 (1)
June 2021 (2)
May 2021 (2)
April 2021 (2)
March 2021 (3)
April 2021 (1)
February 2021 (1)
January 2021 (1)
November 2020 (1)
October 2020 (1)
June 2020 (2)
May 2020 (1)
April 2020 (3)
March 2020 (2)
December 2019 (1)
November 2019 (2)
September 2019 (1)
August 2019 (1)
July 2019 (1)
June 2019 (3)
May 2019 (4)
April 2019 (2)
March 2019 (1)
February 2019 (2)
January 2019 (3)
December 2018 (2)
November 2018 (1)
October 2018 (1)
September 2018 (2)
August 2018 (4)
July 2018 (2)
June 2018 (1)
July 2018 (1)
June 2018 (4)
May 2018 (1)
April 2018 (2)
March 2018 (4)
February 2021 (1)
February 2018 (1)
January 2018 (1)
November 2017 (1)
October 2017 (2)
August 2017 (2)
July 2017 (1)
March 2017 (1)
February 2017 (2)
January 2017 (2)
November 2016 (1)
January 2017 (1)
November 2016 (1)
October 2016 (2)
May 2016 (1)
March 2018 (1)
April 2016 (2)
December 2015 (2)
June 2015 (1)
May 2015 (1)
April 2015 (2)
December 2014 (4)
October 2014 (2)
May 2014 (4)
February 2014 (1)
October 2013 (3)
April 2013 (1)
January 2013 (2)
August 2012 (1)
October 2012 (1)
July 2012 (3)
May 2012 (2)
January 2012 (2)
August 2011 (1)
July 2011 (2)
June 2011 (2)
May 2011 (2)
March 2011 (1)
February 2011 (1)
January 2011 (5)
December 2010 (1)
November 2010 (1)
December 2010 (1)
November 2010 (1)
October 2010 (1)
August 2010 (4)
July 2010 (2)
June 2010 (3)
May 2010 (2)
April 2010 (2)
March 2010 (2)