GithubHelp home page GithubHelp logo

nome2s / amster_distribution Goto Github PK

View Code? Open in Web Editor NEW

This project forked from amsterusers/amster_distribution

0.0 0.0 0.0 399.61 MB

This AMSTer Software is dedicated to automatic SAR/InSAR mass processing for amplitude, coherence or deformation time series. It can also perform single interferometric tasks. It is based on C and C++ software for InSAR processing and MSBAS inversion, wrapped with bash and python scripts for automation.

Shell 93.72% Python 5.74% Gnuplot 0.55%

amster_distribution's Introduction

AMSTer Software

AMSTer: SAR & InSAR Automated Mass processing Software for Multidimensional Time series. "To crunch the SAR & InSAR mass processing"

This repo contains the shell scripts, codes and docs required for installing and running AMSTer software (formerly named MasTer).

AMSTer is mostly based on 3 elements:

  • an InSAR processor (AMSTer Engine)
  • a time series processor (MSBAS; https://doi.org/10.4095/313749)
  • a set of mostly shell (bash) and some python scripts (AMSTer Toolbox)

AMSTer is aiming at processing automatically and incrementally a large number of interferometric pairs and feeding and running the MSBAS processor [Samsonov and d’Oreye, 2012, 2017; Samsonov et al., 2017, 2020] in order to obtain the desired 2D or 3D deformation maps and time series.

Of course, AMSTer can also perform individual differential interferograms (for deformation measurement or DEM creation purposes).

AMSTer can also create time series of coherence or amplitude maps coregistered on a Global Primary (both in radar geometry or in geographic coordinates), e.g. for land use or geomorphological changes tracking.

AMSTer is able to process any type of SAR data (ERS1 & 2, EnviSAT, ALOS, ALOS2, RadarSAT, CosmoSkyMed, TerraSAR-X, TanDEM-X (incl. bistatic mode), Sentinel1 A & B (incl. SM mode), Kompsat5, PAZ, SAOCOM, ICEYE...).
AMSTer Engine is optimised to fit the needs of the AMSTer Toolbox, which benefitted from some of its unique specificities.

Geocoded amplitude, coherence, interferometric phase and deformation maps are computed using AMSTer Engine, a command line InSAR processor derived from the Centre Spatial de Liege (CSL) InSAR Suite (CIS)[Derauw, 1999; Derauw et al, 2019]. AMSTer in a former version was named MasTer.

The AMSTer Engine stays in continuous development to catch up with new sensors and add new capabilities. It has interesting features such as :

  • the ability to perform absolute phase unwrapping or ionospheric mapping using the SplitBand interferometry [Bovenga et al., 2013; Libert & al. 2017],
  • several tools for unwrapping such as the largely used SNAPHU [Chen and Zebker 2002], a homemade branch cut algorithm [Goldstein et al. 1988; Derauw 1995], and a pre-unwrapping tool named DetPhun (exploratory tool),
  • specific tools for selecting and stitching swaths and bursts of interest from TOPSAR Sentinel 1 data,
  • tools for TOPSAR coherence tracking, or spectral coherence estimation
  • adaptive filtering and masking procedure, automatic layover masking …

In the AMSTer repository, you will find more scripts in SCRIPTS_MT than what is required for a "normal" use of AMSTer because this is the copy of my development scripts directory. Hence it also contains several scripts and tools that you may never need.

Nevertheless, if you need a specific tool that wouldn't be documented in the manual, feel free to let me know ([email protected]). There are high chances that some of these several scripts may be able to do what you need. And if not, with a little bit of luck, it might be easy for me to adapt some of these existing scripts to satisfy your needs. At least I can try on the best effort basis...

License:

________

"AMSTer: SAR & InSAR Automated Mass processing Software for Multidimensional Time series" © 2023 by Nicolas d'Oreye, Dominique Derauw, Sergey Samsonov, Delphine Smittarello, Maxime Jaspard and Gilles Celli is licensed under CC BY-NC-SA 4.0 (Attribution-NonCommercial-ShareAlike 4.0 International). http://creativecommons.org/licenses/by-nc-sa/4.0/

You are free to: Share — copy and redistribute the material in any medium or format Adapt — remix, transform, and build upon the material The licensor cannot revoke these freedoms as long as you follow the license terms.

Under the following terms: Attribution - You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. NonCommercial - You may not use the material for commercial purposes. ShareAlike - If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original. No additional restrictions - You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.

Notices: You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation . No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.

Moreover, MSBAS is licensed to the https://open.canada.ca/en/open-government-licence-canada

Because AMSTer Software is licensed free of charge, there is no warranty for the program.

References:

___________

Please cite at least the following references. More can be found in /AMSTer_Distribution/DOC/How_To_Cite_AMSTer.txt

Derauw D., d’Oreye N., Jaspard M., Caselli A. and Samsonov S. (2020) Ongoing automated Ground Deformation monitoring of Domuyo – Laguna del Maule area (Argentina) using Sentinel-1 MSBAS time series: Methodology description and first observations for the period 2015 – 2020. J. South Am. Earth Sc., Vol. 104, 102850. https://doi.org/10.1016/j.jsames.2020.102850 Freely available here: https://www.sciencedirect.com/science/article/pii/S089598112030393X?via%3Dihub

d’Oreye N., D. Derauw, S. Samsonov, M. Jaspard, D. Smittarello (2021) MASTER: A FULL AUTOMATIC MULTI-SATELLITE INSAR MASS PROCESSING TOOL FOR RAPID INCREMENTAL 2D GROUND DEFORMATION TIME SERIES. Proceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2021, Brussels

Samsonov S. (2019) User manual, source code, and test set for MSBASv3 (Multidimensional Small Baseline Subset version 3) for one- and two-dimensional deformation analysis https://doi.org/10.4095/313749

Developpers of AMSTer:

_______________________

Nicolas d'Oreye [1,2] (AMSTer Toolbox)
Dominique Derauw [3,4] (AMSTer Engine)
Sergey Samsonov [5] (MSBAS)
Delphine Smittarello [1] (modules for pair selection optimisation, recursive unwrapping...)
Maxime Jaspard [1] (web interface)
Gilles Celli [1,2] (downloaders, compilation issues...)

[1] European Center for Geodynamics and Seismology, Luxembourg
[2] National Museum of Natural History, Luxembourg
[3] Centre Spatial de Liège, Université de Liège, Belgium
[4] SAREOS, Belgium 
[5] Canada Centre for Mapping and Earth Observation, Natural Resources Canada, Ottawa, Canada

The development of the AMSTer Software commenced in the early 2010s and leveraged the capabilities of various pre-existing tools, including the CSL InSAR suite, which was fully remastered to be the MasTerEngine, then AMSTer Engine. Over time, the AMSTer Software underwent incremental enhancements, both independently and within the context of numerous projects, notably (unsorted), RESIST, MUZUBI, GEORISCA, SMMIP, TIGRES, ECTIC, MODUS, VERSUS, advInSAR, Vi-X... These projects were primarily funded by the Belgian Scientific Policy (BelSPo) and the Luxembourgish Fond National de la Recherche (FNR).

Updates:

________

  • New in V 20231215:

    1. AMSTer Engine 20231213 copes with new ESA server for downloading S1 orbits (since Nov 2023).
    2. Installer (and check installation) scripts updated to cope with new procedure required for the new ESA dataspace server
    3. New example of script to download S1 images on new ESA server (since Nov 2023)
    4. Examples of crons scripts (illustrated for Domuyo) redesigned with more variables rather than hard coded lines throughout the scripts
    5. Examples of crons scripts (illustrated for Domuyo) redesigned for dual criteria used to compute baseline plots in order to accomodate changes in orbital tube after loss of S1B
    6. cosmetic changes in creation of amplitude images (compute min max from gdalinfo rather than fixed values)
    7. Update of manuals according to points above
  • New in V 20231107:

    1. Rebranding Master as AMSTer.
  • New in V 20231024:

    1. Scripts build_header_msbas_Tables.sh now allows preparing msbas inversion based on tables resulting from a Delaunay Traingulation and/or x-shortest connections, and/or baseline criterias pairs selections.
  • New in V 20231003: Because this new version includes major changes (also in the structure), it is highly recommended to perform a new installation with the installer (MasTer_Install.sh):

    1. Some important files were renamed (e.g. FUNCTIONS_FOR_MT.sh), some files were moved in more appropriate directories and some directories were renamed for more clarity (like where to store some scripts or parameters files).
    2. The MasTer Toolbox is now distributed on a public GitHub repository and covered by a CC BY-NC-SA 4.0 license. A discussions group was also implemented on Github. Do not hesitate to visit and ask or contribute.
    3. A new section entiteled "troubleshooting" was started in the manual... To be continued...
    4. New tools to select the pairs for the mass processing (now possible with Delaunay triangulation or x-shortests connections in addition to the existing baselines lengths criteria)
    5. Major change in the mask handling: now mask pixels 0 = always keep ; 1 = always mask and 2 = mask if coherence is lower than COHCLNTHRESH parameter at unwrapping
    6. New way to manage hard-coded lines in scripts: now they are all listed in a file named __HardCodedLines.sh (see manual)
    7. Bug fixed in geocoding (half a pixel offset was introduced in a former version of MasTer Engine several months ago...)
    8. Several new scripts and small tools (see e.g. chapter 8 and 9 in manual)
    9. New way for MasTer Engine to read Sentinel-1 Wide Swath images. The former and the new methods can be used together though.
    10. The manuals were updated accordingly
    11. The __LaunchMTparam.txt was updated accordingly
  • New in V 20230421:

    1. Scripts:
    • Read_All_Img.sh: add CSK 2nd generation and correct/improve reading of several formats
    • Prepa_MSBAS.sh: now can build basline plot and pair selection table based on a second sets of temporal and spatial baseline criteria from a given table. This is unseful e.g. since the lost of S1B, which may require to increase the orbital tube
    • installer: use g++ to compile msbas
    • Linux: replace Helvetica font now unavailable for convert function used in some scripts to build time series grpahs
    • several cosmetic and minor imporvements in various scripts
    • several corrections and improvements in cron job scripts
    • addition of small utilities
    1. msbas: compilation with g++ in Linux
    2. MasTer Engine:
    • some add/corrections in DataReaders (ERS, RS1, RS2 CSK 2nd generation)
    • some parallelistaion are now possible (S1 Coregistration)
    1. DOC:
    • revised and updated according to recent changes
  • New in V 20230828 (non exhaustive list...):

    1. Scripts:
    • Important changes in directories and file naming
    • Add optimisation module
    • Manage hard coded lines in scripts by sourcing a single file containing the hard coded lines
    • Several modifictions to cope with recent upgrades in MasTer Engine
    • Some new tools
    1. msbas: source code for msbas 3D and 4D inversions. These are however not (yet) integrated within the MasTer Toolbox scripts
    2. MasTer Engine:
    • new way to read S1 images in IW
    • half pixel offset bug in geoprojection removed
    • more parallelistaion are now possible
    • takes into account new CSK format
    • can force UTM zone at geoprojection
    1. DOC:
    • revised and updated according to recent changes

amster_distribution's People

Contributors

ndoreye avatar mjaspard avatar dderauw avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.