Preparation of InSAR surface displacement maps for geophysical modelling

This framework is streamlining InSAR displacement processing routines for earthquake inversion through Pyrocko and Grond.

Kite features simple and efficient handling of displacement data:

• Import InSAR displacement data from GAMMA, ISCE, GMTSAR, ROI_PAC, SARScape, COMET LiCSAR and Matlab
• Efficient quadtree implementation
• Covariance estimation from noise
• Interactive GUI

Find the documentation at https://pyrocko.org/kite/docs/current/.

from kite import Scene

# Import Matlab container to kite
scene = Scene.import_file('dataset.mat')
scene.spool()  # start the GUI for data inspection and Quadtree parametrisation

# Inspection of covariance parameters
scene.quadtree.covariance.plot()

Visual parametrisation of the quadtree and spatial covariance for SLC and InSAR time-series.

• PyQt5 with OpenGL support
• PyQtGraph
• NumPy
• SciPy

Installation on Debian based distributions through apt

sudo apt-get install python-pyside python-pyside.qtcore python-pyside.qtopengl\
  python-yaml python-scipy python-numpy

sudo pip install git+https://github.com/pyqtgraph/pyqtgraph.git
sudo pip install git+https://github.com/pyrocko/kite.git

git clone https://github.com/pyqtgraph/pyqtgraph.git
cd pyqtgraph; sudo python setup.py install
git clone https://github.com/pyrocko/kite.git
cd kite; sudo python setup.py install

Recommended citation for Kite

Isken, Marius; Sudhaus, Henriette; Heimann, Sebastian; Steinberg, Andreas; Daout, Simon; Vasyura-Bathke, Hannes (2017): Kite - Software for Rapid Earthquake Source Optimisation from InSAR Surface Displacement. V. 0.1. GFZ Data Services. http://doi.org/10.5880/GFZ.2.1.2017.002