My Account     Contact Us     Cart

Creating a false-color composite image with Geographic Imager for Adobe Photoshop

One of the powerful remote sensing tools available in Adobe Photoshop is to detect the land surface information by creating a false color composite image. Multispectral images contain the reflectance information from the visible and invisible electromagnetic spectrum. Using this information, we can detect many kinds of land surface information. For this example, we will detect the green area using Landsat images imported by Geographic Imager for Adobe Photoshop, which ensures all the georeference information is maintained.

Landsat images consist of several gray scale images, with each image containing one of the bands of the electromagnetic spectrum. For example, in the Geographic Imager tutorial folder, there are a set of Landsat images available. Those gray scale images are from Band 1, 2, 3, 4, 5, 7, and 8.

Landsat Images available in the Geographic Imager tutorial folder

These images need to be combined into one image. The Adobe Photoshop function called “Merge Channels” produces one image by combining mulitple gray scaled images. With this example, those gray scale images from Band 2, 3, and 4 will be merged into one image by assigning a color for each band.

Image analysis trick

1) Open the Landsat image from Band 2, 3, and 4. Note that the Geographic Imager panel shows the information on the coordinate system and image extents.

Georeference information on the Geographic Imager panel

2) Open the Channel panel (Window > Channels). Choose “Merge Channels” from the panel options menu.

Merge Channels

3) In the Merge Channels dialog box, select RGB color as the mode.

Merge Channels - RGB

4) In the Merge RGB Channels dialog box, specify the band for each channel: band 4 for the red channel, band 3 for the green channel, and band 2 for the blue channel.

Specifying the channels for Merge channels

5) As a result, those three images from Band 2, 3, and 4, are assigned to the Blue, Green and Red channels, respectively.

Merge channels result in the Channels panel

6) Now, let’s take a look at the image!

Merge channels result - false color composite image

This combination of false-color makes vegetation appear as red tones. The bright red color indicates the growing vegtation. Water is displayed in a blue color. When the water contains high sediment concentrations, the color will be lighter blue. Urban areas will appear gray to blue-gray in color.

7) All the georeferenced information is inherited by the new image with merged channels from those original images. The georeference information is displayed in the Geographic Imager panel.

The georeference information was maintained from the original georeferenced image.


Leave a Reply





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)