<img src="https://github.com/alexisInSAR/EZ-InSAR/blob/Version_2_0_2_Beta/EZINSAR_BIN/private/EZ_InSAR_logo.gif" alt="Logo EZ-InSAR" width="250">
# EZ-InSAR
**EZ-InSAR (formerly called MIESAR for Matlab Interface for Easy InSAR)** is a toolbox written in MATLAB to conduct Interferometric Synthetic Aperture Radar (InSAR) data processing using the open-source software packages (ISCE+StaMPS/MintPy) within a easy-to-use Graphic-User-Interface (GUI). The toolbox now can generate SAR interferograms using ISCE and conduct displacement time series analysis with either Persistent Scatters (**PS**) or Small-Baselines (**SBAS**) approaches using StaMPS or MintPy.
**EZ-InSAR** minimizes the work of user in downloading, parametrizing, and processing the SAR data, so enabling these who are not familiar with InSAR but can also produce and analyze ground surface displacements by themselves. **EZ-InSAR** is also a contribution to the Platform for Atlantic Geohazard Risk Management (AGEO) project, which is funded by Interreg Atlantic Area Programme through the *European* Regional Development Fund.
**If you have any questions or problems, please feel free to use the *Discussions* section.**
**Release info**: Version 2.0.3 Beta, July, 2023
**Sensors:**
| Satellite | Mode | EZ-InSAR | SLC format |
|---|---|---|---|
|Sentinel-1|IW|Ready|.zip or .SAFE in the slc directory|
|Sentinel-1|Stripmap|Ready|.zip or .SAFE in the slc directory|
|TerraSAR-X or PAZ|StripMap|Ready|Unzipped PAZ1_* or TSX1_* directory in the slc directory|
|Cosmo-SkyMed|Stripmap|Ready|[directory of the acquisition]/CSK*.h5 in the slc directory|
|ALOS2|StripMap|No|NE|
Please note that the processing with the Stripmap data (other than Sentinel-1) has not been fully tested: only the data preparation has been tested. However, the InSAR processors are compatible with these data. For the Spotlight data, EZ-InSAR can manage the data similar to StripMap but the processing with ISCE should be modified.
Please check the guidelines to add a new sensor: [here](https://github.com/alexisInSAR/EZ-InSAR/blob/Version_2_0_3_Beta/EZINSAR_BIN/docs/guide_new_sensors.md).
## 1. Dependencies & Installation
See [**Installation**](./EZINSAR_BIN/docs/EZ-InSAR_tutorial-Part-II.md) to install and configure the depended codes and software.
**EZ-InSAR** incorporates several the most popular open source InSAR processors to perform SAR interferometry and displacement time series analysis, under MATLAB (>2020b). These processors are:
· **[ISCE](https://github.com/isce-framework/isce2)** - Interferometric synthetic aperture radar Scientific Computing Environment (ISCE)
· **[StaMPS](https://homepages.see.leeds.ac.uk/~earahoo/stamps/)** - Stanford Method for Persistent Scatterers (StaMPS)
· **[MintPy](https://github.com/insarlab/MintPy)** - The Miami INsar Time-series software in PYthon (MintPY)
Some additional dependencies are needed to run the above InSAR processors or enhancing the functions of the code. For example, you may need the TRAIN package to correct for tropospheric errors in SAR interferograms when using StaMPS, and in MintPy you may need PyAPS to do the similar work. Some toolboxes of MATLAB are also needed for successfully running the SAR processing code, which will be descripted in detail in **Part II** of the help document.
**EZ-InSAR** is developed on a Linux platform currently. The commercial software MATLAB is needed to run **EZ-InSAR**.
## 1.2 Running the toolbox
After the installation and configuration, open a terminal, load the EZ-InSAR environment with the "load_insar" command, launch "Matlab", and then type "EZ_InSAR".
![EZ-InSAR Interface](./EZINSAR_BIN/docs/EZINSAR_interface.jpg)
**Figure 1.** The snapshot of the interface of EZ-InSAR.
Basically, the interface contains three independent modules shown as the "Data preparation module", "ISCE InSAR processing module", and "InSAR time series analysis module". The “EZ-InSAR Paths” button allows the user to define the work path for processing the data. The StaMPS and MintPy processors can be activated by clicking the corresponding tables in the "InSAR time series analysis module" module, respectively. Also, there is a progress bar showing the running progress of each step and an information box showing the useful tip during data processing at the bottom of the interface.
A **tutorial** on the use of the toolbox can be downloaded from [**here**](./EZINSAR_BIN/docs/EZ_InSAR_manual_v2_0_2_beta.pdf).
## 1.3 Developers & Contact
Based on original idea and development from Alexis Hrysiewicz, EZ-InSAR is developed and maintained by the **Natural Geohazard Research** group lead by **[Eoghan Holohan](https://people.ucd.ie/eoghan.holohan)** at School of Earth Sciences, ***University College Dublin*** (UCD). The people who develop and document the toolbox are acknowledged below:
- *Alexis Hrysiewicz,*
Postdoctoral Researcher, UCD School of Earth Sciences, University College Dublin
Email: [email protected]
- *Xiaowen Wang*
Research Scientist, UCD School of Earth Sciences, University College Dublin (2021.09-2022.08)
Currently: Associate Professor,Faculty of Geosciences and Environmental Engineering (FGEE), Southwest Jiaotong University
Email: [email protected]
## 1.4 Acknowledgement
We acknowledge that the open-source InSAR processing software and code used by EZ-InSAR are cited properly. EZ-InSAR is distributed for free under the [**GPLV3 License**](https://www.gnu.org/licenses/gpl-3.0.html).
Hrysiewicz, A., Wang, X. & Holohan, E.P. EZ-InSAR: An easy-to-use open-source toolbox for mapping ground surface deformation using satellite interferometric synthetic aperture radar. Earth Sci Inform (2023). https://doi.org/10.1007/s12145-023-00973-1
## 1.5 Partners
|<img src="https://github.com/alexisInSAR/EZ-InSAR/blob/Version_2_0_3_Beta/EZINSAR_BIN/private/UCDlogo.png" alt="UCD" height="100pix"> |[**University College Dublin**](https://www.ucd.ie/)|
|---|---|
|<img src="https://github.com/alexisInSAR/EZ-InSAR/blob/Version_2_0_3_Beta/EZINSAR_BIN/private/icrag-logo.png" alt="iCRAG" height="50pix">|[**iCRAG**](https://www.icrag-centre.org/)|
|<img src="https://github.com/alexisInSAR/EZ-InSAR/blob/Version_2_0_3_Beta/EZINSAR_BIN/private/AGEO-transparent.png" alt="AGEO" width="150pix">|[**AGEO**](https://ageoatlantic.eu/)|
|<img src="https://github.com/alexisInSAR/EZ-InSAR/blob/Version_2_0_3_Beta/EZINSAR_BIN/private/atlanticarealogo.png" alt="Interreg Atlantic Area" width="150pix">|[**Interreg Atlantic Area**](https://www.atlanticarea.eu/)|
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Matlab Interface for Easy InSAR.zip
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Matlab Interface for Easy InSAR.zip (84个子文件)
新建文件夹
EZ-InSAR-Version_2_0_3_Beta
EZINSAR_BIN
addpath_EZINSAR.m 382B
3rdparty
read_kml.m 6KB
extendPoly.m 22KB
unpackFrame_TSX_ezinsar.py 2KB
xml2struct.m 7KB
unpackFrame_PAZ.py 2KB
README.md 882B
pathinformation.txt 44B
docs
guide_new_sensors.md 1KB
EZ-InSAR_tutorial-Part-II.md 12KB
installation_instructions_mamba.md 4KB
config_InSARenv.template 3KB
EZINSAR_interface.jpg 3.45MB
EZ_InSAR_manual_v2_0_3_beta.pdf 11.75MB
SLC_management
displayextensionS1.m 13KB
displayextensionTSXPAZ.m 5KB
parmsSLC.mat 622B
initparmslc.m 1KB
createlistSLC.m 12KB
downloaderSLC.m 11KB
manageSLC.m 4KB
manageparamaterSLC.m 9KB
GUIpathdirectory.m 6KB
README.md 388B
readxmlannotationS1.m 3KB
displayextensionCSK.m 5KB
Suppfunctions
coarse_Sentinel_1_baselines.py 37KB
check_tool_versions.m 3KB
detrending.m 6KB
run_download_DEM.sh 13KB
update_textinformation.m 1KB
sb_find_mod.m 2KB
run_SLCcropStack_mod.csh 3KB
sb_find_ETALAB_network.m 4KB
readpathinformation.m 1KB
update_progressbar_MIESAR.m 6KB
coarse_CSK_baselines.py 16KB
string2hash.m 637B
README.md 604B
coarse_TSX_PAZ_baselines.py 17KB
GUIMIESAR.m 37KB
EZ_InSAR.m 10KB
StaMPS_functions
stampsSBASprocessing.m 10KB
runGUIstampsparameters.m 7KB
stampsprocessing.m 10KB
GUISBASnetwork.fig 44KB
runGUISBASnetwork.m 9KB
stampsPSprocessing.m 7KB
stampsMERGEDprocessing.m 9KB
GUIstampsparameters.fig 57KB
README.md 672B
ISCE_functions
isceprocessing.m 26KB
isce_preprocessing_S1_IW.m 13KB
isce_preprocessing_SM.m 11KB
runISCEallstep.m 5KB
parallelizationstepISCE.m 3KB
selectionofstack.m 10KB
conversionstacks_SM.m 19KB
removewatermask_ISCEprocessing_SM.m 2KB
dem_box_cal.m 4KB
conversionstacks_S1_IW.m 23KB
iscedisplayifg.m 8KB
README.md 384B
isce_switch_stackfunctions.m 2KB
MintPy_functions
mintpy_parameters.m 22KB
smallbaselineApp.cfg 21KB
mintpy_API_save.m 22KB
mintpy_API_tsview.m 18KB
mintpy_create_deramp_mask.m 11KB
mintpy_API_plot_trans.m 14KB
mintpy_processing.m 7KB
mintpy_API_view.m 18KB
mintpy_network_plot.m 6KB
mintpy_allstep.m 5KB
README.md 833B
private
UCDlogo.png 54KB
EZ_InSAR_logo.gif 19KB
AGEO-transparent.png 45KB
atlanticarealogo.png 44KB
icrag-logo.png 4KB
SWJTULogo.png 117KB
LICENSE 34KB
startup.m 177B
README.md 7KB
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