The HyP3-ISCE2 plugin provides a set of workflows to process SAR satellite data using the InSAR Scientific Computing Environment 2 (ISCE2) software package. This plugin is part of the Alaska Satellite Facility's larger HyP3 (Hybrid Plugin Processing Pipeline) system, which is a batch processing pipeline designed for on-demand processing of SAR data.

The HyP3-ISCE2 plugin provides a set of workflows (accessible directly in Python or via a CLI) that can be used to process SAR data using ISCE2. The workflows currently included in this plugin are:

• insar_tops: A workflow for creating full-SLC Sentinel-1 geocoded unwrapped interferogram using ISCE2's TOPS processing workflow
• insar_tops_burst: A workflow for creating single-burst Sentinel-1 geocoded unwrapped interferogram using ISCE2's TOPS processing workflow

To run a workflow, simply run python -m hyp3_isce2 ++process [WORKFLOW_NAME] [WORKFLOW_ARGS]. For example, to run the insar_tops_burst workflow:

python -m hyp3_isce2 ++process insar_tops_burst \
  S1_136231_IW2_20200604T022312_VV_7C85-BURST \
  S1_136231_IW2_20200616T022313_VV_5D11-BURST \
  --looks 20x4 \
  --apply-water-mask True

This command will create a Sentinel-1 interferogram that contains a deformation signal related to a 2020 Iranian earthquake.

To learn about the arguments for each workflow, look at the help documentation (python -m hyp3_isce2 ++process [WORKFLOW_NAME] --help).

When ordering Sentinel-1 Burst InSAR On Demand products, users can choose the number of looks (--looks) to use in processing, which drives the resolution and pixel spacing of the output products. The available options are 20x4, 10x2, or 5x1. The first number indicates the number of looks in range, the second is the number of looks in azimuth.

The output product pixel spacing depends on the number of looks in azimuth: pixel spacing = 20 * azimuth looks

Products with 20x4 looks have a pixel spacing of 80 m, those with 10x2 looks have a pixel spacing of 40 m, and those with 5x1 looks have a pixel spacing of 20 m.

There is always a water mask geotiff file included in the product package, but setting the apply-water-mask (--apply-water-mask) option to True will apply the mask to the interferograms (both wrapped and unwrapped phase) and browse image.

Note that ISCE2 currently only supports masking after phase unwrapping. As such, the masking does not mitigate phase unwrapping errors that may occur over water, but simply removes distracting signals afterwards to improve the visualization of the interferogram.

For all workflows, the user must provide their Earthdata Login credentials and ESA Copernicus Data Space Ecosystem (CDSE) credentials in order to download input data. If you do not already have an Earthdata account, you can sign up here. If you do not already have a CDSE account, you can sign up here. Your credentials can be passed to the workflows via command-line options (--esa-username and --esa-password), environment variables (EARTHDATA_USERNAME, EARTHDATA_PASSWORD, ESA_USERNAME, and ESA_PASSWORD), or via your .netrc file. If you haven't set up a .netrc file before, check out this guide to get started.

The ultimate goal of this project is to create a docker container that can run ISCE2 workflows within a HyP3 deployment. To run the current version of the project's container, use this command:

docker run -it --rm \
    -e EARTHDATA_USERNAME=[YOUR_USERNAME_HERE] \
    -e EARTHDATA_PASSWORD=[YOUR_PASSWORD_HERE] \
    -e ESA_USERNAME=[YOUR_USERNAME_HERE] \
    -e ESA_PASSWORD=[YOUR_PASSWORD_HERE] \
    ghcr.io/asfhyp3/hyp3-isce2:latest \
    ++process [WORKFLOW_NAME] \
    [WORKFLOW_ARGS]

NOTE Each workflow can also be accessed via an alternative CLI with the format ([WORKFLOW_NAME] [WORKFLOW_ARGS])

1. Ensure that conda is installed on your system (we recommend using mambaforge to reduce setup times).
2. Download a local version of the hyp3-isce2 repository (git clone https://github.com/ASFHyP3/hyp3-isce2.git)
3. In the base directory for this project call mamba env create -f environment.yml to create your Python environment, then activate it (mamba activate hyp3-isce2)
4. Finally, install a development version of the package (python -m pip install -e .)

To run all commands in sequence use:

git clone https://github.com/ASFHyP3/hyp3-isce2.git
cd hyp3-isce2
mamba env create -f environment.yml
mamba activate hyp3-isce2
python -m pip install -e .

HyP3 is broken into two components: the cloud architecture/API that manage processing of HyP3 workflows, and Docker container plugins that contain scientific workflows which produce new science products from a variety of data sources (see figure below for the full HyP3 architecture).

The cloud infratstructure-as-code for HyP3 can be found in the main HyP3 repository. This repository contains a plugin that can be used to process ISCE2-based processing of SAR data.

This project was heavily influenced by the DockerizedTopsApp project, which contains a similar workflow that is designed to produce ARIA Sentinel-1 Geocoded Unwrapped Interferogram standard products via HyP3.

The HyP3-ISCE2 plugin is licensed under the Apache License, Version 2 license. See the LICENSE file for more details.

We strive to create a welcoming and inclusive community for all contributors to HyP3-ISCE2. As such, all contributors to this project are expected to adhere to our code of conduct.

Please see CODE_OF_CONDUCT.md for the full code of conduct text.

Contributions to the HyP3-ISCE2 plugin are welcome! If you would like to contribute, please submit a pull request on the GitHub repository.

Want to talk about HyP3-ISCE2? We would love to hear from you!

Found a bug? Want to request a feature? open an issue

General questions? Suggestions? Or just want to talk to the team? chat with us on gitter