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.Rprojfile 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.