| Name | kite JSON |
| Version |
1.5.8
JSON |
| download |
| home_page | |
| Summary | InSAR unwrapped surface displacement processing for earthquake modelling. |
| upload_time | 2024-02-21 09:16:58 |
| maintainer | |
| docs_url | None |
| author | |
| requires_python | >=3.7 |
| license | GPLv3 |
| keywords |
insar
satellite
radar
earthquake
optimization
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
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| coveralls test coverage |
No coveralls.
|
# Kite
[](https://pyrocko.org/kite/docs/current/)
[](https://pypi.org/project/kite)
[](https://github.com/pyrocko/kite/actions/workflows/build-wheels.yaml)
<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:
```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. <http://doi.org/10.5880/GFZ.2.1.2017.002>
[](http://doi.org/10.5880/GFZ.2.1.2017.002)
# Documentation
Find the documentation at <https://pyrocko.org/kite/docs/current/>.
## 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.
Raw data
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