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https://github.com/pyrocko/kite

InSAR unwrapped surface displacement processing for earthquake modelling.
https://github.com/pyrocko/kite

displacement-data earthquake insar modelling

Last synced: 2 days ago
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InSAR unwrapped surface displacement processing for earthquake modelling.

Host: GitHub
URL: https://github.com/pyrocko/kite
Owner: pyrocko
License: gpl-3.0
Created: 2017-03-09T13:42:36.000Z (over 7 years ago)
Default Branch: master
Last Pushed: 2024-02-21T09:06:21.000Z (4 months ago)
Last Synced: 2024-06-21T16:59:50.939Z (11 days ago)
Topics: displacement-data, earthquake, insar, modelling
Language: Python
Homepage: https://pyrocko.org/kite/
Size: 33.1 MB
Stars: 77
Watchers: 17
Forks: 34
Open Issues: 44
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- License: LICENSE.md

Lists

awesome-sar - kite - Tectonic displacement modelling, quadtree subsampling and covariance analysis (Radar Related GitHub Repos)
awesome-sar - kite - Quadtree subsampling, data covariance analysis for surface displacement modeling. APS removal (empirical and GACOS). Download data from various data centers. (Radar Related GitHub Repos / Software and Utilities)

README

        # Kite

[![Docs](https://img.shields.io/badge/kite-Documentation-blue.svg)](https://pyrocko.org/kite/docs/current/)

[![PyPI](https://img.shields.io/pypi/v/kite)](https://pypi.org/project/kite)

![PyPI - Python Version](https://img.shields.io/pypi/pyversions/kite)

[![CI](https://github.com/pyrocko/kite/actions/workflows/build-wheels.yaml/badge.svg)](https://github.com/pyrocko/kite/actions/workflows/build-wheels.yaml)



_Preparation of InSAR surface displacement maps for geophysical modelling_

## Installation

Install from pip:

```sh

pip install kite

```

With additional gdal dependency, used for GeoTIFF (GACOS and LiCSAR):

```sh

pip install kite[gdal]

```

## Introduction

This framework is streamlining InSAR displacement processing routines for earthquake inversion through [Pyrocko](https://www.pyrocko.org) and Grond.

Kite features simple and efficient handling of displacement data:

* Import InSAR displacement data from GAMMA, ISCE, GMTSAR, ROI_PAC, SARScape, [COMET LiCSAR](https://comet.nerc.ac.uk/COMET-LiCS-portal/), [SNAP](https://step.esa.int/main/toolboxes/snap/) and Matlab

* Import of average timeseries from [STAMPS](https://homepages.see.leeds.ac.uk/~earahoo/stamps/) and German [BodenBewegungsDienst](https://bodenbewegungsdienst.bgr.de)

* **Quadtree** calculation for data reduction

* **Covariance** estimation from data noise

* **APS removal** from [GACOS](http://ceg-research.ncl.ac.uk/v2/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. 

[![DOI](https://img.shields.io/badge/DOI-10.5880%2FGFZ.2.1.2017.002-blue.svg)](http://doi.org/10.5880/GFZ.2.1.2017.002)

# Documentation

Find the documentation at .

## Short Example

```python

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](https://pyrocko.org/grond/docs/current/_images/example_spool-quadtree.png)