SAR Calibration Tool (SCT) is the tool for the radiometric and geometric calibration of SAR data.

SCT can be used to analyse SAR products acquired over calibration sites, i.e. locations where calibration targets, like transponders or corner reflectors, are installed, to derive a set of useful information for each target, i.e.:

• Range and azimuth resolutions
• Range and azimuth Absolute Localization Errors (ALE)
• Radar Cross Section (RCS) and Signal to Clutter Ratio (SCR)
• Incidence, look and squint angles of observation

and more.

These information are collected in a database and can be used to support accurate radiometric and geometric calibration of a given SAR mission data.

In particular, ALE measurements are performed applying both instrument-related corrections (bistatic delay, Doppler shift, ...) and the most relevant geophysical corrections (plate tectonics and Solid Earth Tides (SET) displacements, ionospheric and tropospheric path delays).

Note: The current version of the tool is able to manage only Sentinel-1 data and related orbit files (Earth Explorer format), but it has been designed to be easily extended to other SAR mission data in the future.

The packages required by SAR Calibration Tool are specified in the file environment.yml included in its distribution.

Minimum requirements:

• python 3.5 or higher
• numpy 1.17 or higher

In order to install SAR Calibration Tool follow these steps:

1. Clone the SAR Calibration Tool git repository in a folder of your local hard drive and move inside it
2. In a conda command window, type the following instruction, which creates the proper environment:

$ conda env create --file environment.yml

3. In the same conda command window, type the following instruction, which activates the created environment:

$ conda activate sct_env

4. Install the SAR Calibration Tool package using pip tool:

   (note: use the -e option to install it in edit mode)

$ pip install .
<or>
$ pip install -e .

For more details about SCT installation process refer to documentation.

The SCT distribution includes, in addition to the packages source code, a set of default folders where to store SAR products, auxiliary files, resources, ...

In addition, the docs folder, including all the project documentation, contains two Jupyter Notebooks describing:

• sct_tutorial.ipynb: how to exploit the SAR Calibration Tool functionalities to analyse a SAR product acquired over a calibration site
• sct_display_results.ipynb: how to play with the results generated by the SAR Calibration Tool and generate nice plots

For more details about SCT usage refer directly to documentation and to these two notebooks.

SCT is distributed under the terms of the MIT License.

See LICENSE file for more details.