DART-atmos-corr

A place for code and tutorials for atmospheric correction of longwave infrared camera imagery using the Discrete Anisotropic Radiative Transfer (DART) model.

This repository contains tutorials to give readers of Morrison et al. (2020) a hands-on guide to performing atmospheric corrections for longwave infrared camera imagery across complex terrain.

DART “Scene 3D” view of central London area (430 m x 430 m) used for testing of DART atmospheric correction.

A software package has been developed to work with DART outputs: daRt for the R programming language and complements the atmospheric correction processing and analysis. daRt methods are being developed to simplify the atmospheric correction process.

Summary of atmospheric correction routine

Required steps

1. Real world images. Defines the types of ‘real world’ images that are suitable for correction using this technique.
2. Model world. Configure a three-dimensional model world to interpret the images and faciliate the correction.
3. DART atmosphere simulation. Configure and run DART for simulation of atmospheric effects.
4. Band calculation and correction. Correct the real world images using the atmosphere simulation.

Optional steps

1. Create multi line of sight image. For very oblique view angles, create multi line of sight (MLOS) image with per-pixel path lengths between the surface and camera.
2. DART image post-processing (WIP).

References

Morrison, W., Yin, T., Lauret, N., Guilleux, J., Kotthaus, S., Gastellu-Etchegorry, J.-P., Norford, L., Grimmond, S., 2020. Remote Sens. Environ. 237, 111524. https://doi.org/10.1016/j.rse.2019.111524