Setup InSAR data processing codes on Linux / macOS using conda environments.
Install the Python environment with conda/mamba.
mkdir -p ~/tools; cd ~/tools
# for macOS, use Miniforge3-MacOSX-x86_64.sh, and optionally use `curl -L -O https://...` syntax to download
wget https://github.com/conda-forge/miniforge/releases/latest/download/Miniforge3-Linux-x86_64.sh
bash Miniforge3-Linux-x86_64.sh -b -p ~/tools/miniforge
~/tools/miniforge/bin/mamba init bashClose and restart the shell for changes to take effect. Then install the following utilities:
mamba install wget git tree numpy --yes
pip install bypy
Both isce2 and mintpy are available on the conda-forge channel and can be install via mamba as:
mamba install isce2 mintpyAdd below in your source file, e.g. ~/.bash_profile for bash users or ~/.cshrc for csh/tcsh users:
export PATH=${PATH}:${ISCE_HOME}/bin:${ISCE_HOME}/applications # ISCE_HOME/STACK are set by condacd ~/tools
mkdir isce2; cd isce2
mkdir build install src; cd src
git clone https://github.com/isce-framework/isce2.git
cd ~/tools
git clone https://github.com/insarlab/MintPy.git
git clone https://github.com/insarlab/PyAPS.git
git clone https://github.com/insarlab/PySolid.git
git clone https://github.com/yunjunz/conda-envs.git
cd ~/tools/utils
git clone https://gitlab.com/yunjunz/SSARA.git
git clone https://github.com/yunjunz/sardem.git# create new environment
conda create --name insar --yes
conda activate insar
# install dependenciues and isce2
cd ~/tools
mamba install --file conda-envs/insar/requirements.txt --file MintPy/requirements.txt isce2">=2.6.3" --yes
# install MintPy in editable mode
python -m pip install -e MintPy
# [for developers] overwrite PyAPS and PySolid installation from conda to the editable mode
python -m pip install -e PyAPS
export SETUPTOOLS_ENABLE_FEATURES="legacy-editable"
python -m pip install -e PySolid
# install dependencies not available from conda
ln -s ${CONDA_PREFIX}/bin/cython ${CONDA_PREFIX}/bin/cython3
python -m pip install ipynb # import functions from *.ipynb files
python -m pip install jupyter_nbextensions_configurator
python -m pip install -e utils/sardemCreate an alias load_insar in ~/.bash_profile file for easy activation, e.g.:
alias load_insar='conda activate insar; source ~/tools/conda-envs/insar/config.rc'Run the following to test the installation:
load_insar # warm up conda environment
topsApp.py -h # test ISCE-2
smallbaselineApp.py -h # test MintPy