Awesome
Kite
<a href="https://github.com/psf/black"><img alt="Code style: black" src="https://img.shields.io/badge/code%20style-black-000000.svg"></a>
Preparation of InSAR surface displacement maps for geophysical modelling
Installation
Install from pip:
pip install kite
With additional gdal dependency, used for GeoTIFF (GACOS and LiCSAR):
pip install kite[gdal]
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, SARScape, COMET LiCSAR, SNAP and Matlab
- Import of average timeseries from STAMPS and German BodenBewegungsDienst
- Quadtree calculation for data reduction
- Covariance estimation from data noise
- APS removal from GACOS atmoshperic models and empirical elevation correlation
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
Documentation
Find the documentation at https://pyrocko.org/kite/docs/current/.
Short Example
from kite import Scene
# Import Matlab container to kite
scene = Scene.load('SNAP_data/')
scene.spool() # start the GUI for data inspection and Quadtree parametrisation
Visual parametrisation of the quadtree and spatial covariance for SLC and InSAR time-series.
