dolphin

High resolution wrapped phase estimation for Interferometric Synthetic Aperture Radar (InSAR) using combined persistent scatterer (PS) and distributed scatterer (DS) processing.

Install

dolphin may be installed via conda-forge:

# if mamba is not already installed, see here: https://mamba.readthedocs.io/en/latest/
mamba install -c conda-forge dolphin

It is also available via PyPI and may be pip-installed on some platforms, such as Google's Colab. However, certain dependencies (e.g. GDAL) are more easily set up through conda.

dolphin has the ability to unwrap interferograms using several options, which can be toggled using the unwrap_method configuration option:

1. snaphu-py, a lightweight Python bindings to SNAPHU. Available on both pip and conda.
2. isce3's python bindings to SNAPHU, PHASS, or ICU
3. spurt, a 3D unwrapper, implementing the Extended Minimum Cost Flow (ECMF) algorithm
4. tophu, a multi-scale unwrapper designed to unwrap large interferograms in parallel tiles at multiple resolution.

These may be installed via conda or (in the case of snaphu-py) pip.

To install locally:

1. Download source code:

git clone https://github.com/isce-framework/dolphin.git && cd dolphin

2. Install dependencies:

mamba env create --file conda-env.yml

or if you have an existing environment:

mamba env update --name my-existing-env --file conda-env.yml

3. Install dolphin via pip:

conda activate dolphin-env
python -m pip install .

Dolphin can also take advantage of CUDA-compatible GPUs for faster processing. See the docs for installation instructions and configuration.

Usage

The main entry point for configuring and running workflows the dolphin command line tool:

1. dolphin config: create a workflow configuration file.
2. dolphin run : run the workflow using this file.

Example usage:

dolphin config --slc-files /path/to/slcs/*tif
# OR: to make a coarser output 4x as quickly:
# dolphin config --slc-files /path/to/slcs/*tif --strides 2 2
dolphin run dolphin_config.yaml

The config command creates a YAML file (by default dolphin_config.yaml in the current directory). If you'd like to see an empty YAML with all defaults filled in, you can run dolphin config --print-empty, which creates a sample file like the one here

The only required inputs for the workflow are the paths to the coregistered SLC files (in either geographic or radar coordinates). If the SLC files are spread over multiple files, you can either

1. use the --slc-files option with a bash glob pattern, (e.g. dolphin config --slc-files merged/SLC/*/*.slc would match the ISCE2 stack processor output )

2. Store all input SLC files in a text file delimited by newlines (e.g. my_slc_list.txt), and give the name of this text file prefixed by the @ character (e.g. dolphin config --slc-files @my_slc_list.txt)

The full set of options is written to the configuration file; you can edit this file, or you can see which commonly tuned options by are changeable running dolphin config --help.

Building and running via Docker

dolphin can also be run using Docker. You can use the one built on Github, or build it locally using the script

./docker/build-docker-image.sh

Contributing

We welcome many forms of contributing, including testing, bug reports, and documentation fixes. If you think you've found a problem, please let us know! You can raise an issue on the repository, where there are templates for Bug Reports and Feature Requests. If you have a general question of idea, feel free to raise it in the Discussions page.

For more detailed guidance on setting up a development environment, including how make and test changes to the code, see Contributing to Dolphin.

For more general Q&A, please use the Discussions page.

License

This software is licensed under your choice of BSD-3-Clause or Apache-2.0 licenses. See the accompanying LICENSE file for further details.

SPDX-License-Identifier: BSD-3-Clause OR Apache-2.0