https://github.com/jgomezdans/brdf_modelling

BRDF modelling using linear kernel models
https://github.com/jgomezdans/brdf_modelling

bayesian-methods earth-observation modis remote-sensing

Last synced: 10 months ago
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BRDF modelling using linear kernel models

• Host: GitHub
• URL: https://github.com/jgomezdans/brdf_modelling
• Owner: jgomezdans
• License: agpl-3.0
• Created: 2019-10-16T17:35:43.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2019-10-16T18:04:50.000Z (over 6 years ago)
• Last Synced: 2025-04-25T17:17:59.330Z (10 months ago)
• Topics: bayesian-methods, earth-observation, modis, remote-sensing
• Language: Jupyter Notebook
• Size: 675 KB
• Stars: 18
• Watchers: 3
• Forks: 7
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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[![DOI](https://zenodo.org/badge/215607201.svg)](https://zenodo.org/badge/latestdoi/215607201)

# BRDF modelling

### J Gómez-Dans & P Lewis (National Centre for Earth Observation & UCL)

BRDF modelling using linear kernel models on satellite data. BRDF is an important part of optical remote sensing. Usually, the change in view/illumination geometry is considered an annoyance, and is treated as noise. Pity the fools! There are a very simple ways of accounting for these angular effects, among them using simple linear kernel models. This repository has some exploration on how to use them.

There's some software that you can play around. It is designed for *ahem* educational purposes, so you've been warned. 

If this is useful to you and you end up using it, please consider citing it. It's on Zenodo. Somewhere. You find this, I'm sure you can find that ;)

You can run the notebooks directly online (takes a while, be patient!)

* [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/jgomezdans/BRDF_modelling/master?urlpath=lab/tree/01-FunWithBRDF.ipynb) Introduction to linear BRDF models

* [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/jgomezdans/BRDF_modelling/master?urlpath=lab/tree/02-BayesianBRDF.ipynb) Some Bayesian concepts to improve on standard retrieval methods.

* More stuff coming whenever I feel like it ;)