A Shiny application for visualizing DInSAR results processed by StaMPS/MTI.

Hooper A., Bekaert D. Spaans K. and M. Arikan (2012), Recent advances in SAR interferometry time series analysis for measuring crustal deformation, Tectonophysics, 514-517, pp.1-13. doi: 10.1016/j.tecto.2011.10.013

Further discussion about the application can be found in ESA's Step-Forum

An example of the app is currently available online, hosted with a free shinyapps.io account. Therefore it may be that the app is not accessible if all active hours per month are exhausted. To work with the app and adding your own data locally, download or clone the repo. StaMPS-Visualizer example

You need R 3.6 or higher and RStudio

Linux

Tested on Ubuntu 20.04.1 LTS

# first install gdal libraries
sudo apt update
sudo apt install gdal-bin libgdal-dev -y

# install R
sudo apt update
sudo apt install r-base gdebi-core -y

# install RStudio
# download RStudio
# https://rstudio.com/products/rstudio/download/#download

cd ~/Downloads
sudo gdebi rstudio-1.3.1093-amd64.deb

Windows

Download R https://cran.r-project.org/bin/windows/base/ and run the .exe

Download RStudio https://rstudio.com/products/rstudio/download/#download and run the .exe

Since version 3.0 StaMPS-Visualizer is managed as a Rproject with renv. renv is a tool to create reproducible environments of R packages.

• clone this repository
• open the StaMPS_Visualizer.Rproj file with Rstudio
• run install.packages("renv") in the R Console
• run renv::restore() in the R Console to restore the complete environment (this might take some time)
• go to File --> Open File... and open ui.R
• click on Run App in the upper left panel in the upper right corner

The StaMPS-Visualizer is licensed under a creative commons attribution license

Since version 3.0 StaMPS-Visualizer is published as software on Zenodo:

@software{thorsten_hoeser_2020_4407188,
  author       = {Thorsten Hoeser},
  title        = {StaMPS\_Visualizer},
  month        = dec,
  year         = 2020,
  publisher    = {Zenodo},
  version      = {v3.0},
  doi          = {10.5281/zenodo.4407188},
  url          = {https://doi.org/10.5281/zenodo.4407188}
}

The original version was published as part of a master thesis at the Department of Geography, Bonn University.

Bibtex:

@mastersthesis{thho2018,
  author       = {Thorsten Höser}, 
  title        = {Analysing the Capabilities and Limitations of {InSAR} using {Sentinel-1} Data for Landslide Detection and Monitoring},
  school       = {Department of Geography, Bonn University},
  year         = 2018,
  address      = {Bonn},
  doi          = {10.13140/RG.2.2.35085.59362}
}

StaMPS-Visualizer is a free application and comes with absolutely no warranty.