GithubHelp home page GithubHelp logo

spadarian / nsw_2018_drought Goto Github PK

View Code? Open in Web Editor NEW
1.0 3.0 0.0 1.84 MB

A simple visualisation of the drought affecting NSW, Australia in the winter of 2018.

License: Creative Commons Attribution 4.0 International

Jupyter Notebook 100.00%

nsw_2018_drought's Introduction

NSW 2018 Drought visualisation

This is a simple visualisation of the drought affecting NSW, Australia in the winter of 2018.

alt text

Methodology

I used the normalized difference vegetation index (NDVI) as an indicator of photosynthetic activity. Healthy, growing vegetation show high NDVI values. If vegetation is under any stress (nutrition deficiency, water shortage, etc.) that would affect the photosynthetic activity and result in lower NDVI values detected from satellite imagery.

I estimated the mean NDVI from the Landsat 8 images captured between June, 1st and August, 15th. To remove clouds and other artefacts, I only selected the 'clear' pixels (pixel quality band). Since different crops show different NDVI values, crop rotation can generate misleading results. The same might happen if a farmer decided to leave the land fallow, which would lead to lower NDVI values. To minimise that effect, I used the mean NDVI value from 2014 to 2017 as the 'past NDVI'.

The final difference was calculated as:

NDVI_diff = (NDVI_2018 - NDVI_past) / NDVI_past

⚠️ Note: This is a quick method to visualise the changes in vegetation. These changes can occur due to many factors and not only drought. The only thing we know for sure is that climate change is modifying rainfall behaviour, so we need to reduce carbon emissions, support renewable energy project, etc.

⚠️ Don't use this map without warning people about its limitations. That is sensationalism.

Disclaimer

This is a demo for illustrative purposes only and it is provided as-is. Use at your own risk.

nsw_2018_drought's People

Contributors

spadarian avatar

Stargazers

Sophia Tierney avatar

Watchers

 avatar James Cloos avatar  avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.