InSAR unwrapped surface displacement processing for earthquake modelling.

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Project description

Kite

PyPI - Python Version

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.

L'Aquila earthquake unwrapped displacement data

Project details

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Project links

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Release history Release notifications | RSS feed

This version

1.5.8

Feb 21, 2024

1.5.7

May 10, 2023

1.5.6

Apr 6, 2023

1.5.5

Jan 12, 2023

1.5.4

Nov 25, 2022

1.5.3

Nov 21, 2022

1.5.2

Aug 3, 2022

1.5.1

Aug 2, 2022

1.5.0

Jul 26, 2022

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