https://github.com/isce-framework/fringe
Fine Resolution InSAR With Generalized Eigenvectors (FRInGE)
https://github.com/isce-framework/fringe
deformation geodesy insar time-series
Last synced: 6 months ago
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Fine Resolution InSAR With Generalized Eigenvectors (FRInGE)
- Host: GitHub
- URL: https://github.com/isce-framework/fringe
- Owner: isce-framework
- License: apache-2.0
- Created: 2020-03-29T06:13:27.000Z (over 6 years ago)
- Default Branch: main
- Last Pushed: 2022-09-22T19:53:05.000Z (almost 4 years ago)
- Last Synced: 2023-10-20T20:27:02.330Z (over 2 years ago)
- Topics: deformation, geodesy, insar, time-series
- Language: C++
- Homepage:
- Size: 300 KB
- Stars: 70
- Watchers: 26
- Forks: 39
- Open Issues: 17
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Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# FRInGE
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*Fine Resolution InSAR using Generalized Eigenvectors*
FRInGE is a package written in C++ / Python which contains tools to estimate deformation time-series by exploiting interferometric covariance matrice for distributed scatterers (DS) and the phase history of pixels that exhibit very little temporal variation (PS). Its development was funded under the NASA Earth Surface and Interior (ESI) program (NTR-51454). U.S. Government sponsorship acknowledged.
Copyright (c) 2019-2020, California Institute of Technology ("Caltech"). All rights reserved.
THIS IS RESEARCH CODE PROVIDED TO YOU "AS IS" WITH NO WARRANTIES OF CORRECTNESS. USE AT YOUR OWN RISK.
## Contents
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1. [Software prerequisites and installation](./docs/install.md)
2. [Detailed documentation of processing modules](./docs/modules.md)
3. [Detailed documentation of workflows](./docs/workflows.md)
4. [Note of thanks](./docs/opensource.md)
5. [TODO list](./docs/TODO.md)
## Citation
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1. Fattahi, H., Agram, P.S., Tymofyeyeva, E. and Bekaert, D.P., 2019. FRInGE; Full-Resolution InSAR timeseries using Generalized Eigenvectors. AGUFM, 2019, pp.G11B-0514.
2. Tymofyeyeva, E., Agram, P.S., Fattahi, H. and Bekaert, D.P., 2019. Transient creep on the Concord Fault, Eastern Bay Area, revealed by InSAR time series. AGUFM, 2019, pp.T13D-0304.