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https://github.com/eradiate/eradiate

Eradiate: a next-generation radiative transfer model for Earth observation applications
https://github.com/eradiate/eradiate

earth-observation radiative-transfer

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Eradiate: a next-generation radiative transfer model for Earth observation applications

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README 

        
![Eradiate logo](docs/fig/eradiate-logo.svg "Eradiate — A new-generation radiative transfer simulation package")



# Eradiate Radiative Transfer Model



[![pypi][pypi-badge]][pypi-url]

[![docs][rtd-badge]][rtd-url]

[![black][black-badge]][black-url]

[![ruff][ruff-badge]][ruff-url]

[![zenodo][zenodo-badge]][zenodo-url]



[pypi-badge]: https://img.shields.io/pypi/v/eradiate?style=flat-square

[pypi-url]: https://pypi.org/project/eradiate/

[rtd-badge]: https://img.shields.io/readthedocs/eradiate?logo=readthedocs&logoColor=white&style=flat-square

[rtd-url]: https://eradiate.readthedocs.io/en/latest/

[black-badge]: https://img.shields.io/badge/code%20style-black-000000.svg?style=flat-square

[black-url]: https://github.com/psf/black/

[ruff-badge]: https://img.shields.io/badge/%E2%9A%A1%EF%B8%8F-ruff-red?style=flat-square

[ruff-url]: https://ruff.rs

[zenodo-badge]: https://img.shields.io/badge/doi-10.5281/zenodo.7224314-blue.svg?style=flat-square

[zenodo-url]: https://zenodo.org/records/7224314



Eradiate is a modern radiative transfer simulation software package for Earth

observation applications. Its main focus is accuracy, and for that purpose, it

uses the Monte Carlo ray tracing method to solve the radiative transfer

equation.



## Detailed list of features



    

      
  • 

    Spectral computation
    


      

      

      Solar reflective spectral region

      

      Eradiate ships spectral data within from 280 nm to 2400 nm. This range can be

      extended with additional data (just ask for it!).

      
    


      

      

      Line-by-line simulation

      

      These are true monochromatic simulations (as opposed to narrow band

      simulations).

      Eradiate provides monochromatic absorption datasets spanning the wavelength

      range [250, 3125] nm.

      It also supports user-defined absorption data provided it complies with the

      dataset format specifications.

      
    


      

      

      Band simulation

      

      These simulations computes results in spectral bands.

      The correlated k-distribution (CKD) method with configurable

      quadrature rule is used. This method achieves a trade-off between performance

      and accuracy for the simulation of absorption by gases.

      Eradiate ships with absorption datasets suitable for use within the CKD

      method in spectral bands of variable width (including 1 nm and 10 nm

      wavelength bands and 100 cm^-1 wavenumber bands), from 250 nm up to 3125 nm.

      It also supports user-defined absorption data provided it complies with the

      dataset format specifications.

      

      
    • 


      
  • 

    Atmosphere
    


      

      

      One-dimensional atmospheric profiles

      

      Both standard profiles, e.g. the AFGL (1986) profiles, and customized

      profiles are supported.

      
    


      

      

      Plane-parallel and spherical-shell geometries

      

      This allows for more accurate results at high illumination and viewing

      angles.

      

      
    • 


      
  • 

    Surface
    


      

      

      Lambertian and RPV reflection models

      

      Model parameters can be varied against the spectral dimensions.

      
    


      

      

      Detailed surface geometry

      

      Add a discrete canopy model (either disk-based abstract models, or more

      realistic mesh-based models).

      
    


      

      

      Combine with atmospheric profiles

      

      Your discrete canopy can be integrated within a scene featuring a 1D

      atmosphere model in a fully coupled simulation.

      

      
    • 


      
  • 

    Illumination
    


      

      

      Directional illumination model

      

      An ideal illumination model with a Delta angular distribution.

      
    


      

      

      Many irradiance datasets

      

      Pick your favourite—or bring your own.

      

      
    • 


      
  • 

    Measure
    


      

      

      Top-of-atmosphere radiance and BRF computation

      

      An ideal model suitable for satellite data simulation.

      
    


      

      

      Perspective camera sensor

      

      Greatly facilitates scene setup: inspecting the scene is very easy.

      
    


      

      

      Many instrument spectral response functions

      

      Our SRF data is very close to the original data, and we provide advice to

      further clean up the data, trading off accuracy for performance.

      

      
    • 


      
  • 

    Monte Carlo ray tracing
    


      

      

      Mitsuba renderer as radiometric kernel

      

      We leverage the advanced Python API of this cutting-edge C++ rendering

      library.

      
    


      

      

      State-of-the-art volumetric path tracing algorithm

      

      Mitsuba ships a null-collision-based volumetric path tracer which performs

      well in the cases Eradiate is used for.

      

      
    • 


      
  • 

    Traceability
    


      

      

      Documented data and formats

      

      We explain where our data comes from and how users can build their own data

      in a format compatible with Eradiate's input.

      
    


      

      

      Transparent algorithms

      

      Our algorithms are researched and documented, and their implementation is

      open-source.

      
    


      

      

      Thorough testing

      

      Eradiate is shipped with a large unit testing suite and benchmarked

      periodically against community-established reference simulation software.

      

      
    • 


      
  • 

    Interface
    


      

      

      Comprehensive Python interface

      

      Abstractions are derived from computer graphics and Earth observation and

      are designed to feel natural to EO scientists.

      
    


      

      

      Designed for interactive usage

      

      Jupyter notebooks are now an essential tool in the digital scientific

      workflow.

      
    


      

      

      Integration with Python scientific ecosystem

      

      The implementation is done using the Scientific Python stack.

      
    


      

      

      Standard data formats (mostly NetCDF)

      

      Eradiate uses predominantly xarray data structures for I/O.

      

      
    • 




## Installation and usage



For build and usage instructions, please refer to the

[documentation](https://eradiate.readthedocs.org).



## Support



Got a question? Please visit our

[discussion forum](https://github.com/eradiate/eradiate/discussions).



## Authors and acknowledgements



Eradiate is developed by a core team consisting of Vincent Leroy,

Sebastian Schunke, Nicolas Misk and Yves Govaerts.



Eradiate uses the

[Mitsuba 3 renderer](https://github.com/mitsuba-renderer/mitsuba3), developed by

the [Realistic Graphics Lab](https://rgl.epfl.ch/),

taking advantage of its Python interface and proven architecture, and extends it

with components implementing numerical methods and models used in radiative

transfer for Earth observation. The Eradiate team acknowledges Mitsuba creators

and contributors for their work.



The development of Eradiate is funded by the

[Copernicus programme](https://www.copernicus.eu/) through a project managed by

the [European Space Agency](http://www.esa.int/) (contract no

40000127201/19/I‑BG).

The design phase was funded by the [MetEOC-3 project](http://www.meteoc.org/)

(EMPIR grant 16ENV03).



## Citing Eradiate



The most general citation is as follows:



```bibtex

@software{Eradiate,

    author = {Leroy, Vincent and Nollet, Yvan and Schunke, Sebastian and Misk, Nicolas and Govaerts, Yves},

    license = {LGPL-3.0},

    title = {Eradiate radiative transfer model},

    url = {https://github.com/eradiate/eradiate},

    doi = {10.5281/zenodo.7224314},

    year = {2024}

}

```



If you want to reference a specific version, you can update the previous citation

with `doi`, `year` and `version` fields populated with metadata retrieved from our

[Zenodo records](https://zenodo.org/search?q=parent.id%3A7224314&f=allversions%3Atrue&l=list&p=1&s=10&sort=version).

Example:



```bibtex

@software{Eradiate,

    author = {Leroy, Vincent and Nollet, Yvan and Schunke, Sebastian and Misk, Nicolas and Govaerts, Yves},

    license = {LGPL-3.0},

    title = {Eradiate radiative transfer model},

    url = {https://github.com/eradiate/eradiate},

    doi = {10.5281/zenodo.10411036},

    year = {2023},

    version = {0.25.0},

}

```



## License



Eradiate is free software licensed under the

[GNU Lesser General Public License (v3)](./LICENSE).



## Project status



Eradiate is actively developed. It is beta software.