Interferometry in ISCE with ALOS Imagery - Revision history

Smitchs at 20:41, 12 January 2021

2021-01-12T20:41:25Z

Aplourde at 15:56, 23 December 2020

2020-12-23T15:56:35Z

Aplourde at 20:03, 22 December 2020

2020-12-22T20:03:59Z

Aplourde at 19:03, 22 December 2020

2020-12-22T19:03:16Z

Aplourde at 19:02, 22 December 2020

2020-12-22T19:02:34Z

Aplourde at 19:02, 22 December 2020

2020-12-22T19:02:02Z

Aplourde at 17:20, 22 December 2020

2020-12-22T17:20:54Z

Aplourde at 17:19, 22 December 2020

2020-12-22T17:19:33Z

Aplourde: /* Creating an Interferogram */

2020-12-22T17:00:50Z

Creating an Interferogram

Aplourde: /* Creating an Interferogram */

2020-12-22T17:00:22Z

Creating an Interferogram

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-The InSAR Scientific Computing Environment ([https://github.com/isce-framework/isce2 ISCE]) was developed by NASA for the purpose of processing Interferometric Synthetic Aperture Radar imagery from a variety of earth observation satellites. The opensource software was designed from the ground up and is primarily based in the Python programming language. The software can be used to create an interferogram, a type of raster image that measures the phase change between two separate image acquisitions of the same region on earth. From the phase changes, information about surface deformations can be interpreted.
+The InSAR Scientific Computing Environment ([https://github.com/isce-framework/isce2 ISCE]) was developed by NASA for the purpose of processing Interferometric Synthetic Aperture Radar imagery from a variety of earth observation satellites. The open source software was designed from the ground up and is primarily based in the Python programming language. The software can be used to create an interferogram, a type of raster image that measures the phase change between two separate image acquisitions of the same region on earth. From the phase changes, information about surface deformations can be interpreted.
 One of the many applications of interferometry is the study of volcanic activity. The example used in this tutorial is the [https://www.nytimes.com/2011/03/08/us/08volcano.html March 2011 Kilauea Volcano].
 ISCE does not offer a Graphical User Interface([https://en.wikipedia.org/wiki/Graphical_user_interface GUI]) and so, although it is not necessary, some experience with the following tasks is recommended:
-# Using the Command Line (Terminal)
+# Using the Command Line (Terminal);
-# Setting up a Conda environment
+# Setting up a Conda environment;
-# Writing and executing scripts in Python
+# Writing and executing scripts in Python.
 '''''Note''': this tutorial is only compatible with Linux and MacOS. ISCE is not currently supported on a Windows environment.''

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 One of the many applications of interferometry is the study of volcanic activity. The example used in this tutorial is the [https://www.nytimes.com/2011/03/08/us/08volcano.html March 2011 Kilauea Volcano].
-ISCE does not offer a Graphical User Interface([https://en.wikipedia.org/wiki/Graphical_user_interface|GUI]) and so, although it is not necessary, some experience with the following tasks is recommended:
+ISCE does not offer a Graphical User Interface([https://en.wikipedia.org/wiki/Graphical_user_interface GUI]) and so, although it is not necessary, some experience with the following tasks is recommended:
 # Using the Command Line (Terminal)
 # Setting up a Conda environment

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 unw_geocoded = None
 </syntaxhighlight>
+== Further Reading ==
+For a detailed explanation on the process of creating Interferograms, try out this tutorial:<br>
+[[Creating_Interferogram_for_Mapping_Earthquake_Deformation_by_using_Sentinel-1_Data_in_SNAP|"Creating_Interferogram_for_Mapping_Earthquake_Deformation_by_using_Sentinel-1_Data_in_SNAP"]]
+<br><br>
+Visit the ISCE-2 GitHub Repository for additionally resources and examples:<br>
+https://github.com/isce-framework/isce2

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 One of the many applications of interferometry is the study of volcanic activity. The example used in this tutorial is the [https://www.nytimes.com/2011/03/08/us/08volcano.html March 2011 Kilauea Volcano].
-Note that this tutorial is only compatible with Linux and MacOS. ISCE is not currently supported on a Windows environment.
 ISCE does not offer a Graphical User Interface([https://en.wikipedia.org/wiki/Graphical_user_interface|GUI]) and so, although it is not necessary, some experience with the following tasks is recommended:
@@ Line 9: / Line 7: @@
 # Setting up a Conda environment
 # Writing and executing scripts in Python
+'''''Note''': this tutorial is only compatible with Linux and MacOS. ISCE is not currently supported on a Windows environment.''

@@ Line 5: / Line 5: @@
 Note that this tutorial is only compatible with Linux and MacOS. ISCE is not currently supported on a Windows environment.
-ISCE does not offer a Graphical User Interface([https://en.wikipedia.org/wiki/Graphical_user_interface|GUI]), which may be intimidating for some users. Although it is not necessary, some experience with the following tasks is recommended:
+ISCE does not offer a Graphical User Interface([https://en.wikipedia.org/wiki/Graphical_user_interface|GUI]) and so, although it is not necessary, some experience with the following tasks is recommended:
 # Using the Command Line (Terminal)
 # Setting up a Conda environment

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 === Output ===
 Now that the interferogram has been created, we need a way to display it. The images created in the above steps are stored [https://gdal.org/drivers/raster/vrt.html VRT] files, a type of virtual file used to save space. [https://gdal.org/ GDAL] can be used to translate such files into a more familiar type such as a [https://en.wikipedia.org/wiki/GeoTIFF GeoTIFF]. GDAL was automatically installed to the ISCE2 conda environment during the [[Interferometry_in_ISCE_with_ALOS_Imagery#Installation| Installation]] step and can be imported as a python library. The image can also be quickly displayed using the Python library Matplotlib. A script to convert the interferogram to a .tif file as well as display it in Matplotlib has been provided below.
 [[File:Interferogram.jpg|thumb|Output of geocoded interferogram using matplotlib]]
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 unw_geocoded = None
 </syntaxhighlight>
-== Further Information ==
-You may find these tutorials interesting. For more information on creating interferograms, try this tutorial.

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 ::<code>python $ISCE_HOME/applications/stripmapApp.py stripmapApp.xml --start=<STEP> --end=<STEP></code><br>
 Recall, the $ISCE_HOME is the path variable pointing to where ISCE-2 has been installed, stripmapApp.py is the Python application that will be used to create the interferogram, and stripmapApp.xml is the XML file created in the configuration step. Multiple steps can also be run by simply setting the start and end variables accordingly. To run the complete processing flow, you can use the following command; however, keep in mind that this may take a few hours to complete. You may also want to ensure you have enough space on your machine to store all the files, it is recommended to have at least 25 GB free.
-::<code>python $ISCE_HOME/applications/stripmapApp.py stripmapApp.xml --start=<STEP> --end=<STEP></code><br>
+::<code>python $ISCE_HOME/applications/stripmapApp.py stripmapApp.xml --start=startup --end=endup</code><br>
 === Output ===

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 Near the bottom, the output provides information about the steps that need to be run to create an interferogram. It is important to follow these steps in the order they are listed in. The configuration file must specify certain variables for some steps to be used, otherwise they are skipped over; however, this is out of the scope of this tutorial, for more information, refer to the [https://github.com/isce-framework/isce2 ISCE-2 GitHub repository].
-[[File:Steps.jpg|thumb]]
+[[File:Steps.jpg|500px|center]]
 These steps can be run one at a time using the following command