KITE

Introduction

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 and Matlab
• Efficient quadtree implementation
• Covariance estimation from noise
• Interactive GUI

Citation

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

Installation and Requirement

Requires libraries

• PySide with OpenGL support (Qt4)
• 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

Native installation

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

Installation through pip

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

Documentation

Find the documentation at https://pyrocko.github.io/kite/.

Short Example

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()