Materials for the PANGEOS Summer School 2024

Radiative transfer inversion and uncertainty propagation

Introduction

This repository contains a number of codes that demonstrate:

• The basics of radiative transfer (RT) models for leaves and canopies,
• Some experiments to invert the models
• The treatment of uncertainty and the role of prior information in inversion.

Here's additional information on the Summer School'2024

Using the materials

Installation

There are detailed instructions on how to install the software in the Wiki page for this repository. Three main options are available:

1. Run the notebooks online using gitpod without installing anything on your computer. (Recommended ** Requires a Github account **)
2. Fork the repository, and use Github codespaces to run the notebooks on the cloud (using VSCode). (Recommended ** Requires a Github account **)
3. Install and run things locally on your computer. The repository is designed to be used in conjunction with the conda/mamba Python distribution.

Additional software

The notebooks make use of codes defined in the pangeos_uq Python package. These are found in the src/ folder in the main repository. Feel free to have a look and poke around. Improvements and bugfixes are welcomed, make sure you let me know by flagging a Github Issue report.

Acknowledgements

This repository is based upon work from COST Action PANGEOS CA22136, supported by COST (European Cooperation in Science and Technology).The work was also supported by the National Centre for Earth Observation (NCEO), and King's College London.