Awesome

RT1 - bistatic scattering model for first order scattering of random media

[!CAUTION] This package is superseeded by a TUW-GEO/rt1_model!
(TUW-GEO/rt1_model provides similar functionalities but with a simplified and more robust API)

The package implements a first order scattering radiative transfer model for random volume over ground as documented in Quast & Wagner (2016) and Quast, Albergel, Calvet, Wagner (2019)

The documentation of the package is found here. (Note that the documentation is still under construction.)

Overview of the RT1 python-module structure

• 🏞️ rt1.volume and rt1.surface

  • a collection of useful surface- and volume scattering distribution functions

• 🔨 rt1.rt1

  • generic implementation of radiative transfer calculations for a random volume over ground

  • symbolic evaluation of first-order interaction contribution estimates

• ⚙️ rt1.rtfits

  • a flexible interface to perform parameter estimation from incidence-angle
    dependent backscatter-timeseries via non-linear least-squares fitting routines.

  • integrates with a set of pre-defined plot-functions and interactive
    widgets that can be used to quickly analyze the obtained results

• :rocket: rt1.rtprocess

  • a versatile interface to setup and run parallelized processing

• 📑 rt1.rtparse

  • a configparser to set up processing-routines via .ini files

Usage

Any usage of this code is subject to the following conditions:

❗ Full compliance with the license (see LICENSE file) is given
❗ In publications or public presentations, credit should be given to the authors by:

• citing the references below ✔️
• pointing to this github repository ✔️

Installation

For a basic install, the following line should be fine:

pip install rt1

In order to get a significant speedup in the symbolic computations and enable NetCDF functionalities, it is recommended to install the module with the optional dependencies symengine and xarray by using:

pip install rt1[full]

References

• Quast & Wagner (2016): doi:10.1364/AO.55.005379
• Quast, Albergel, Calvet, Wagner (2019) : doi:10.3390/rs11030285